Certification details

What you will learn

• Integration Mastery: Learn how to integrate watsonx.data lakehouse data into IBM Knowledge Catalog solutions seamlessly.
• Data Source Definition: Gain expertise in defining watsonx.data data sources within IBM Knowledge Catalog.
• Connection Configuration: Understand how to configure connections and data sources between watsonx.data and IBM Knowledge Catalog using IBM Cloud Pak for Data.

Why earn this certification

• Showcase Integration Skills: Demonstrate your ability to connect and integrate advanced data solutions within IBM’s ecosystem.
• Enhance Career Opportunities: Validate your expertise in using IBM Cloud Pak for Data and Knowledge Catalog, making you a valuable asset in data-driven organizations.
• Stay Ahead in Data Management: Prove your proficiency in leveraging cutting-edge tools like watsonx.data for efficient data management and cataloging.

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Certification details

What you will learn

• Vault Deployment Expertise: Master the planning, deployment, and basic administration of IBM Vault in client environments.
• Pre-Sales Engagement Skills: Learn how to prepare and execute client workshops, pilots, and proof of experiences (PoX) activities.
• Advanced Vault Knowledge: Gain in-depth understanding of Vault’s advanced features and their practical applications.

Why earn this certification

• Demonstrate Advanced Skills: Validate your ability to deploy and manage IBM Vault effectively in real-world scenarios.
• Enhance Career Opportunities: Stand out as a certified professional with expertise in Vault and pre-sales client engagement.
• Build Client Trust: Showcase your ability to deliver successful client engagements, from planning to execution.

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Certification details

What you will learn

• AI Essentials: Gain a solid understanding of artificial intelligence (AI) concepts and their advantages.
• IBM’s Ethical AI Approach: Learn IBM’s unique strategy for ethical and sustainable AI development.
• watsonx Platform Mastery: Explore the watsonx AI and data platform and its significance in enterprise solutions.

Why earn this certification?

• Data Storage Expertise: Discover how watsonx.data addresses modern data storage and processing needs.
• Enterprise Versatility: Learn to position watsonx.data as a flexible solution for diverse business challenges.
• Data Lakehouse Proficiency: Master the data lakehouse capabilities of watsonx.data to support enterprise AI strategies.

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Certification details

What you will learn

• AI/ML Application Development: Gain hands-on experience in developing AI/ML applications on Red Hat OpenShift.
• OpenShift AI Integration: Learn how to integrate AI/ML workflows into the OpenShift platform effectively.
• Exam Preparation: Build the skills and knowledge needed to succeed in the Red Hat Certified Specialist in OpenShift AI (EX267) exam.

Why earn this certification?

• Industry-Ready Skills: Validate your ability to develop and deploy AI/ML applications in enterprise environments.
• Career Advancement: Enhance your credentials with a certification recognized by industry leaders.
• OpenShift Expertise: Demonstrate proficiency in leveraging OpenShift for AI/ML solutions.

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Certification details

What you will learn

• Vault Solution Mastery: Gain expertise in discussing and positioning IBM Vault to address client needs.
• Persuasive Sales Techniques: Learn how to effectively communicate Vault’s value and differentiators in sales conversations.
• Technical Demo Excellence: Develop the skills to deliver compelling technical demonstrations tailored to specific use cases.

Why earn this certification

• Client Engagement Advantage: Stand out by confidently engaging clients with relevant Vault solutions.
• Sales Impact Boost: Enhance your ability to drive sales through persuasive solution positioning and demonstrations.
• Career Differentiation: Validate your technical sales skills and set yourself apart in the competitive IT security and automation market.

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Certification details

What you will learn

• Technical Sales Expertise: Master the skills needed to effectively position watsonx Orchestrate to clients.
• Solution Demonstration Skills: Learn to deliver compelling technical demos using multiple watsonx Orchestrate capabilities.
• Business Scenario Integration: Showcase how pre-built skills, conversational AI, and decision management support real business needs.

Why earn this certification

• Client Engagement Advantage: Stand out by confidently discussing and demonstrating watsonx Orchestrate’s value to clients.
• Sales Differentiation: Gain a competitive edge by combining technical knowledge with persuasive sales techniques.
• Practical Application: Prove your ability to apply watsonx Orchestrate in real-world business

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Certification details

What you will learn

• Vault Value Proposition: Articulate how IBM Vault delivers unique benefits to clients in the security landscape.
• Client Engagement Skills: Initiate and lead conversations with clients and prospects about current market trends and challenges.
• Solution Positioning Expertise: Explain how Vault addresses identity-based security and sensitive data challenges with differentiating capabilities.

Why earn this certification

• Market-Relevant Knowledge: Gain insights into the latest security challenges and solutions shaping the industry.
• Client Impact Focus: Equip yourself to demonstrate Vault’s role in solving real-world client problems.
• Sales Differentiation: Stand out by confidently positioning IBM Vault as a vital solution in competitive sales scenarios.

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Certification details

What you will learn

• Solution Planning Expertise: Master the art of planning comprehensive solutions using watsonx Orchestrate.
• Development Proficiency: Acquire skills in developing effective and efficient AI-driven applications.
• Deployment Excellence: Learn to successfully deploy watsonx Orchestrate solutions in real-world client environments.

Why earn this certification

• Value Delivery Recognition: Be recognized for your ability to deliver tangible value to clients through watsonx Orchestrate.
• Advanced Skill Validation: Validate your advanced knowledge and skills in using watsonx Orchestrate for complex projects.
• Industry Deployment Expertise: Demonstrate expertise in the end-to-end deployment of watsonx Orchestrate solutions, setting you apart in the industry.

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Certification details

What you will learn

• Value Proposition: Describe how Terraform benefits clients by addressing their infrastructure management challenges.
• Market Awareness: Engage clients in discussions about current market trends and challenges they face.
• Solution Integration: Explain how Terraform plays a crucial role in solving infrastructure management issues and enhancing developer productivity.

Why earn this certification

• Client Engagement: Enhance your ability to engage clients and prospects in meaningful conversations.
• Problem Solving: Demonstrate your expertise in using Terraform to solve client’s infrastructure challenges.
• Differentiation: Highlight your understanding of Terraform’s unique role in boosting developer productivity.

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Certification details

What you will learn

• Advanced Knowledge: Master watsonx.ai through comprehensive learning.
• Practical Skills: Develop the ability to define, build, and deliver a Proof of Concept (PoC).
• Client Success: Clearly and effectively demonstrate the value of IBM technology to clients.

Why earn this certification?

• Validated Expertise: Showcase advanced knowledge and skills in watsonx.ai.
• Proof of Value: Successfully deliver client-facing Proof of Value projects.
• Exceed Client Expectations: Demonstrate that IBM technology meets or exceeds client requirements.

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Certification details

What you will learn

• Business Challenges: Reveal common business challenges during customer conversations.
• Orchestrate Solutions: Articulate how watsonx Orchestrate addresses and solves pain points.
• Competitive Edge: Know how to beat the competition with Watson’s skills and integrations.

Why earn this certification?

• Fundamental Knowledge: Prove your understanding of IBM watsonx Orchestrate.
• Effective Teams: Streamline client efforts, making teams more effective.
• Customer Success: Help customers leverage Watson’s skills and integrations.

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What you will learn

• Team Performance: Exceed single LLM performance by designing and prompting a team of AI agents.
• Automation Expertise: Automate repeatable tasks and business processes using crewAI.
• Agent Customization: Define roles, goals, and backstories for agents to break down complex tasks.

Why earn this certification?

• Key Principles: Learn effective AI agent design and team organization for complex tasks.
• Multi-Agent Systems: Master role-playing, memory, tools, focus, guardrails, and cooperation in AI agents.
• Practical Application: Design multi-agent systems for common business processes like resume tailoring and event planning.

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What you will learn

• Theoretical Foundations: Study AI Agents in theory, design, and practice.
• Practical Application: Learn to use established AI Agent libraries such as smolagents, LlamaIndex, and LangGraph.
• Community Contribution: Share your agents on the Hugging Face Hub and explore agents created by the community.

Why earn this certification?

• Skill Mastery: Understand how Agents work and how to build your own Agents using the latest libraries and tools.
• Competitive Edge: Participate in challenges where you will evaluate your agents against other students.
• Recognition of Achievement: Earn a certificate of completion by completing assignments.

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Certification details

What you will learn

• InstructLab Mastery: Gain a comprehensive understanding of InstructLab and its applications in customizing AI Language Models (SLMs and LLMs).
• Generative AI Fundamentals: Develop a solid foundation in AI, Generative AI, and key concepts like the LAB methodology, taxonomy, and synthetic data generation.
• InstructLab in Action: Master InstructLab’s features, installation, and contribution process, following established guidelines.

Why earn this certification

• AI Customization Skills: Showcase your ability to adapt and customize AI Language Models, a highly sought-after skill in the rapidly evolving field of AI.
• Generative AI Expertise: Demonstrate proficiency in the principles and applications of Generative AI, making you a valuable asset to AI-driven teams.
• InstructLab Contribution: Highlight your hands-on experience with InstructLab, including installation and contributions, showcasing your practical skills and commitment to community development.

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Certification details

What you will learn

• Master Gemini & Imagen: Gain practical experience using Google’s cutting-edge Gemini and Imagen AI models for image recognition, natural language processing, and image generation.
• Build Real-World AI Apps: Develop functional applications leveraging Gemini and Imagen capabilities, transforming theoretical knowledge into tangible projects.
• Deploy on Vertex AI: Learn to deploy and manage your AI applications efficiently on Google’s robust Vertex AI platform, ensuring scalability and accessibility.

Why earn this certification

• Boost your AI Expertise: Demonstrate your proficiency in building AI applications with industry-leading models and platforms, enhancing your resume and marketability.
• Unlock Career Opportunities: Gain a competitive edge in the rapidly growing AI job market, opening doors to exciting roles in various sectors.
• Future-Proof Your Skills: Acquire in-demand skills aligned with the latest advancements in AI, ensuring your knowledge remains relevant and valuable.

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Certification details

What you will learn

• Mastering Solution Design and Architecture: Develop the skills to design, document, and articulate the value of IBM solutions, addressing client needs effectively.
• Mitigating Sales and Deployment Risks: Learn methods to de-risk the sales process and deployment of IBM solutions, ensuring high quality and client satisfaction.
• Building Trusted Advisor Relationships: Enhance your ability to build trust with clients and effectively engage post-sales, fostering long-term relationships.

Why earn this certification

• Become a Highly Effective Solution Architect: Position yourself as a sought-after expert in designing and implementing robust IBM solutions.
• Access a Powerful Network of Experts: Leverage a network of peers and senior technical experts for support, collaboration, and knowledge sharing.
• Increase Efficiency and Success Rates: Utilize proven materials and best practices to streamline your workflow and improve the success of your projects.

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Certification details

What you will learn

• Mastering the APAC Sales Rhythm: Gain expertise in navigating the stages of the APAC sales process, from opportunity identification to closure.
• Building Strategic Partnerships: Learn to effectively collaborate with the broader IBM team and ecosystem partners to maximize client engagement.
• Delivering Client Value with IBM Solutions: Develop a foundational understanding of IBM products and sales tools to effectively present and sell solutions.

Why earn this certification

• Become a High-Performing APAC Seller: Enhance your sales skills and contribute to significant revenue growth within the APAC region.
• Expand Your Professional Network: Strengthen your collaboration skills and build relationships across the IBM ecosystem and with key clients.
• Increase Your Market Value: Differentiate yourself in the competitive sales landscape with specialized APAC sales expertise.

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Certification details

What you will learn

• AI Concepts: Understand the concepts and advantages of artificial intelligence (AI).
• IBM’s AI Strategy: Grasp IBM’s distinctive AI strategy for ethical and sustainable AI.
• watsonx Platform: Learn the significance of the watsonx AI and data platform.

Why earn this certification?

• Data Storage: Understand how watsonx.data fulfills data storage and processing requirements.
• Versatile Solution: Articulate how watsonx.data is a versatile solution for enterprise needs.
• Data Lakehouse: Master the data lakehouse functionality with watsonx.data.

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Certification details

What you will learn:

• Compute Engine mastery: Create and deploy virtual machines, understanding their configurations.
• Containerization expertise: Run containerized applications using Google Kubernetes Engine.
• Load balancing configuration: Learn to configure both network and HTTP load balancers.

Why earn this certification:

• Demonstrate your knowledge: Prove your ability to implement load balancing on Compute Engine.
• Improve your efficiency: Master the use of load balancing techniques for optimal application performance and scalability.
• Increase your project success: Apply your knowledge to build robust and reliable cloud-based applications.

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Certification details

What you will learn:**

• AI Governance Fundamentals: Understand the core concepts and principles of artificial intelligence governance.
• IBM’s AI Strategy: Grasp IBM’s approach to addressing ethical and sustainable AI challenges.
• Mastering watsonx.governance: Learn to monitor, evaluate, and manage AI models using IBM’s platform.

Why earn this certification:**

• Boost your AI credibility: Demonstrate your knowledge of responsible AI development and deployment.
• Gain a competitive edge: Showcase expertise in a leading AI governance platform.
• Future-proof your career: Prepare for the increasing demand for AI professionals with ethical considerations.

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Certification details

What you will learn

• AI Fundamentals Demystified: Grasp the core principles and common applications of Artificial Intelligence.
• Generative AI Mastery: Develop practical skills in using and refining prompts within generative AI tools.
• AI in Action: Understand how AI is applied in various real-world scenarios.

Why earn this certification

• Boost Your AI Proficiency: Showcase your foundational knowledge of AI and generative AI technologies to potential employers.
• Unlock New Opportunities: Gain a competitive edge in the rapidly growing field of Artificial Intelligence.
• Become a Generative AI Power User: Demonstrate your hands-on experience with leading generative AI tools.

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Certification details

What you will learn:

• Drive Client Conversations: Master the art of engaging clients effectively, uncovering their needs, and building rapport.
• Research Client and Industry: Develop in-depth knowledge of client businesses and industries, allowing you to tailor your approach and identify opportunities.
• Leverage the IBM Client Engagement Model: Understand and apply IBM’s structured approach to client engagement, maximizing success and achieving desired outcomes.
• Prospect and Identify Opportunities: Become adept at identifying potential clients, understanding their pain points, and crafting compelling value propositions.
• Articulate Financial Value: Learn to quantify the value of IBM solutions for clients, demonstrating the tangible benefits and return on investment.
• Develop a Competitive Mindset: Gain the skills to confidently navigate competitive landscapes and differentiate IBM offerings effectively.
• Deliver Effective Presentations and Demonstrations: Master the art of presenting IBM solutions persuasively, engaging audiences, and driving action.
• Prepare to Negotiate: Develop strong negotiation skills to secure favorable outcomes and close deals successfully.

Why earn this certification:

• Enhance your sales skills and knowledge: Acquire the core competencies necessary for success in the IBM sales environment.
• Differentiate yourself as a sales professional: Demonstrate your commitment to professional development and proficiency in best-practice sales methodologies.
• Grow revenue and achieve sales targets: Apply your newly acquired skills to drive client engagement, identify opportunities, and achieve sales goals.

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Certification details

What you will learn

• LangChain Application Development: Gain practical skills in building Generative AI applications using the LangChain framework.
• Retrieval Augmented Generation (RAG): Master the RAG technique for creating more accurate and contextually relevant text-based content.
• Vertex AI Integration: Learn to leverage Google Vertex AI’s powerful Generative AI capabilities within your LangChain applications.

Why earn this certification

• Demonstrate Generative AI Expertise: Showcase your ability to build sophisticated Generative AI applications using industry-standard tools.
• Unlock Advanced AI Capabilities: Learn to utilize the advanced features of Google Vertex AI for enhanced AI application development.
• Boost Your Career Prospects: Gain a competitive advantage in the job market by showcasing your expertise in building cutting-edge Generative AI applications.

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Certification details

What you will learn

• Hands-on watsonx.ai Experience: Gain practical, hands-on experience using IBM’s watsonx.ai platform for generative AI and foundation model capabilities.
• watsonx.ai Architecture & Strategy: Develop a comprehensive understanding of watsonx.ai’s architecture and how it integrates into IBM’s overall AI strategy.
• Effective Client Communication: Learn to articulate the value proposition of watsonx.ai to clients, highlighting its key features and benefits.

Why earn this certification

• Become a watsonx.ai Practitioner: Demonstrate practical expertise in leveraging watsonx.ai for generative AI solutions.
• Gain a Competitive Edge: Showcase your hands-on experience with a leading AI platform, enhancing your marketability.
• Drive Client Engagement: Develop the communication skills needed to effectively present and sell the value of watsonx.ai.

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Certification details

What you will learn

• Gemini API Mastery: Gain proficiency in using Google Gemini’s API for text generation, including advanced techniques like function calls.
• Streamlit Application Development: Develop and deploy interactive web applications using the Streamlit framework.
• Cloud Run Deployment: Learn to package and deploy your Streamlit application as a Docker container on Google Cloud Run.

Why earn this certification

• Advanced GenAI Development: Develop advanced skills in building and deploying Generative AI applications using Google’s Gemini API.
• Full-Stack GenAI Skills: Gain expertise spanning from model interaction to deployment on a cloud platform.
• Build Production-Ready Apps: Learn to create and deploy robust, scalable Generative AI applications ready for real-world use.

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Certification details

What you will learn:

• Docker Mastery: Gain expertise in building and configuring Docker container images.
• GKE Cluster Management: Learn the ins and outs of creating, managing, and configuring Google Kubernetes Engine (GKE) clusters.
• Robust CD Practices: Master the art of deploying Kubernetes applications with continuous delivery (CD) best practices.

Why earn this certification:

• Master Google Cloud Tools: Gain expertise in leveraging Google Cloud’s Kubernetes offerings, specifically GKE.
• Increase Career Opportunities: Acquire a highly sought-after skill in the cloud-native development space.
• Boost Productivity: Leverage Kubernetes and its tools to automate and optimize your application deployment processes.

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Certification details

What you will learn

• Retrieval Augmented Generation (RAG) Expertise: Gain hands-on experience with RAG techniques, a cutting-edge approach to enhancing language model performance.
• Innovative Model Application: Develop practical skills in applying innovative models and techniques for improved text generation.
• Research-Focused Application: Learn how to leverage RAG solutions for research purposes, generating highly informative and contextually relevant outputs.

Why earn this certification

• Become a RAG Proficient: Demonstrate expertise in a leading-edge technique for improving language model capabilities.
• Enhance Research Capabilities: Develop skills to significantly improve the quality and relevance of research outputs.
• Gain a Competitive Edge: Acquire in-demand skills in a rapidly evolving field of natural language processing.

Earning Criteria

Complete 1-week, 3-day course in Large Language Models and Embeddings for Retrieval Augmented Generation, consisting of 4.5 hours of e-learning.

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Certification details

To earn this certification, you need to complete a learning path that covers the following three courses:

• Hadoop 101: This beginner Apache Hadoop course introduces you to Big Data concepts, and teaches you how to perform distributed processing of large data sets with Hadoop.

• Spark Fundamentals I: Ignite your interest in Spark with an introduction to the core concepts that make this general processor an essential tool set for working with Big Data.

• Big Data 101: How big is big and why does big matter and what does Apache Hadoop have to do with it? In this course you will see the Big Data big picture and you will learn the terminology used in Big Data discussions.

What you will learn:

• Big Data Ecosystem: Gain a comprehensive understanding of the big data ecosystem, its components, and key concepts.
• Hadoop Fundamentals: Learn how to use Hadoop commands and operations for processing large datasets in a distributed environment.
• Spark Core Concepts: Master the core concepts of Apache Spark, including RDDs, DataFrames, and its various libraries.
• Spark Libraries: Develop proficiency in working with Spark libraries like MLlib (machine learning), Spark SQL (data querying), Spark Streaming (real-time data processing), and GraphX (graph processing).
• Practical Application: Apply your knowledge through hands-on exercises and projects using Hadoop and Spark.

Why earn this certification:

• Become a Big Data Expert: Develop a solid foundation in the big data landscape, equipping you to handle massive datasets.
• Master Hadoop and Spark: Gain in-depth knowledge of Hadoop and Spark, two essential tools for big data processing.
• Unlock Career Opportunities: Prepare for high-demand roles in big data analysis, data engineering, and related fields.
• Stay Ahead of the Data Revolution: Equip yourself with the skills necessary to navigate the rapidly growing field of big data.
• Solve Real-World Problems: Learn how to leverage big data technologies to address complex challenges and extract valuable insights.

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Certification details

What you will learn

• Python Programming Unlocked: Learn the fundamentals of Python programming from scratch, even with no prior experience.
• Rapid Python Proficiency: Go from zero to writing your own Python scripts in a short amount of time.
• Data Analysis Introduction: Get started with basic hands-on data analysis using a Jupyter-based lab environment.

Why earn this certification

• Launch Your Data Science Journey: Build a strong foundation in Python, essential for a career in data science.
• Become a Python Programmer: Gain practical skills to write your own Python scripts and solve problems.
• Unlock Coding Potential: Develop valuable programming skills applicable across various domains.

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Certification details

What you will learn:

• Fundamentals of Prompt Engineering: Understand the concept of prompt engineering and its importance in AI interaction.
• Prompt Engineering Techniques: Learn various techniques for crafting effective prompts, including the Naive Prompting Approach, Persona Pattern, Interview Pattern, Chain-of-Thought Approach, and Tree-of-Thought Approach.
• Controlling AI Responses: Acquire skills to control the verbosity and style of AI responses using methods like the Nova System.
• Utilizing Watsonx Prompt Lab: Gain hands-on experience with the powerful watsonx Prompt Lab tool.
• Language Proficiency: Develop the ability to effectively communicate with AI systems using both English and your native language.

Why earn this certification:

• Unlock AI’s Full Potential: Learn to leverage AI’s capabilities for enhanced productivity and creativity.
• Master AI Communication: Become a proficient AI communicator, crafting prompts that yield accurate and insightful responses.
• Improve AI Interactions: Enhance the efficacy of your interactions with AI systems through effective prompting strategies.
• Stay Ahead of the Curve: Acquire a valuable skill in high demand as AI becomes increasingly integrated into various industries.
• Unlock New Opportunities: Gain a competitive advantage in the digital age by mastering the art of prompt engineering.

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Certification details

What you will learn

• Mastering Prompt Engineering: Understand the core principles of prompt engineering and its crucial role in optimizing AI tools.
• Effective Prompt Crafting: Develop skills to create high-performing prompts for enhanced AI model output.
• Langchain Proficiency: Gain hands-on experience using the Langchain library for prompt engineering tasks.

Why earn this certification

• Boost AI Tool Efficiency: Learn to significantly improve the performance of AI tools like chatbots and content generators.
• Practical Application in Python: Develop practical skills through a Python project applying prompt engineering principles to survival analysis.
• Enhance Data Analysis Capabilities: Improve your data analysis skills by leveraging the power of prompt engineering.

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Certification details

What you will learn

• Text Summarization Fundamentals: Gain a comprehensive understanding of text summarization techniques and their real-world applications.
• ChatGPT for Summarization: Learn how to leverage the power of ChatGPT to generate accurate and coherent text summaries.
• Practical Implementation: Master the steps involved in building a text summarization pipeline using ChatGPT, from data preprocessing to model application.

Why earn this certification

• Cutting-Edge NLP Skills: Develop in-demand skills in Natural Language Processing (NLP) using the latest advancements in AI.
• Enhanced Data Processing: Learn to efficiently process and summarize large volumes of text data, saving time and resources.
• Real-World Application: Gain practical experience applying text summarization techniques using a powerful AI model like ChatGPT.

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Certification details

What you will learn

• Data Cleaning & Preparation: Master data cleaning and preparation techniques using Dataprep by Trifacta, essential for high-quality machine learning.
• Data Pipeline Construction: Build and manage efficient data pipelines using Google Cloud Dataflow for seamless data processing.
• Cloud-Based ML API Integration: Gain hands-on experience calling and utilizing various Google Cloud ML APIs, including Natural Language, Speech-to-Text, and Video Intelligence.

Why earn this certification

• Real-World Data Wrangling Skills: Develop practical skills in preparing diverse datasets for use with machine learning models on Google Cloud.
• Efficient Data Processing: Learn to build scalable and robust data pipelines for handling large datasets efficiently.
• Unlock Cloud ML Capabilities: Master the use of Google Cloud’s powerful suite of ML APIs to extract insights from various data types.

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Certification details

What you will learn

• IBM Z Core Skills Mastery: Develop proficiency in fundamental IBM Z concepts and everyday tasks, including dataset administration and command formulation.
• Automation & Scripting Expertise: Gain hands-on experience in automating tasks using JCL, USS scripting, and Python programming within the IBM Z environment.
• IBM Z Open Automation Utilities Proficiency: Learn to orchestrate actions and automate workflows effectively using IBM Z Open Automation Utilities.

Why earn this certification

• Become a Highly-Sought IBM Z Professional: Demonstrate your expertise in essential IBM Z skills, increasing your value in the job market.
• Boost Efficiency and Productivity: Learn to automate tasks, reducing manual effort and improving efficiency in an IBM Z environment.
• Master Modern IBM Z Administration: Acquire modern scripting and automation skills essential for managing today’s IBM Z systems.

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Certification details

What you will learn

• Effective Prompt Engineering: Master the art of crafting effective prompts to guide generative AI models and achieve desired results within Vertex AI.
• Multimodal Generative Techniques: Explore and apply multimodal techniques, combining text and image data within the generative AI workflow.
• Gemini Model Application: Gain practical experience using Google’s Gemini models for creative applications, focusing on real-world marketing scenarios.

Why earn this certification

• Boost Generative AI Proficiency: Enhance your skills in leveraging generative AI models for practical applications, specifically within Vertex AI.
• Master Prompt Design: Develop expert-level skills in prompt engineering, a critical skill for successful generative AI projects.
• Unlock Marketing Innovation: Learn to apply generative AI to real-world marketing challenges, generating innovative solutions.

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Certification details

What you will learn

• watsonx.ai Fundamentals: Develop a strong understanding of the core concepts, advantages, and capabilities of the IBM watsonx.ai platform and its generative AI tools.
• Foundation Model Exploitation: Learn how to leverage foundation models within watsonx.ai to address diverse business use cases effectively.
• Enterprise AI Deployment: Understand how watsonx.ai addresses enterprise needs related to model training, trust, and efficiency in business applications.

Why earn this certification

• Become a watsonx.ai Proficient: Demonstrate your expertise in utilizing IBM’s watsonx.ai platform for generative AI solutions.
• Unlock Foundation Model Power: Learn to harness the power of foundation models to drive innovation and efficiency within your organization.
• Build Trustworthy AI Solutions: Develop the skills to build and deploy reliable and trustworthy AI applications that meet enterprise needs.

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Certification details

What you will learn

• AI Fundamentals & IBM’s Strategy: Understand core AI concepts and IBM’s approach to ethical and sustainable AI development.
• watsonx AI Platform Proficiency: Gain knowledge of the watsonx AI and data platform, focusing on its capabilities for rapid AI application development.
• Enterprise AI Deployment: Learn how watsonx.ai addresses enterprise needs for efficient model training and trustworthy, efficient business applications.

Why earn this certification

• Become an IBM watsonx AI Expert: Demonstrate proficiency in using IBM’s leading AI platform for building and deploying AI solutions.
• Accelerate AI Development: Learn to rapidly build and deploy AI applications using the integrated capabilities of watsonx.ai.
• Build Trustworthy Enterprise AI: Understand how to address ethical considerations and build reliable AI solutions that meet enterprise needs.

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Certification details

What you will learn

• IBM watsonx Generative AI Deployment: Understand how to deploy and embed generative AI solutions across various business functions using the IBM watsonx platform.
• Data Management & Responsible AI: Learn how to manage diverse data sources and accelerate responsible AI workflows within the IBM watsonx ecosystem.
• IBM’s AI Strategy: Gain insight into IBM’s approach to addressing ethical and sustainable challenges in the development and deployment of AI.

Why earn this certification

• Become an IBM watsonx Expert: Showcase your understanding of IBM’s leading AI platform and its capabilities in generative AI.
• Drive Business Value with AI: Learn how to leverage generative AI to solve real-world business problems and create competitive advantage.
• Champion Responsible AI: Demonstrate your commitment to ethical and sustainable AI practices, a key differentiator in today’s market.

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Certification details

What you will learn

• Generative AI Fundamentals: Grasp the core concepts of Generative AI and Large Language Models (LLMs).
• Prompt Engineering Mastery: Master the art of crafting effective prompts, understanding their components, and enhancing model outputs.
• Navigating Model Limitations: Learn to identify and mitigate the limitations of generative models and avoid common pitfalls.

Why earn this certification

• Unlock Generative AI Potential: Gain a deep understanding of how to effectively utilize and optimize Generative AI tools.
• Become a Prompt Engineering Expert: Develop highly sought-after skills in prompt engineering, applicable across diverse domains.
• Enhanced AI Problem-Solving: Learn strategies to overcome limitations and achieve optimal results when working with generative models.

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Certification details

What you will learn

• AI Core Concepts Mastered: Gain a comprehensive understanding of fundamental AI concepts, including NLP, computer vision, machine learning, and deep learning.
• IBM Watson Studio Proficiency: Develop a conceptual understanding of utilizing IBM Watson Studio to run AI models.
• AI Ethics and Applications Explored: Explore the ethical considerations surrounding AI and its diverse applications across various industries.

Why earn this certification

• Enhanced Career Prospects: Gain a competitive advantage in the rapidly growing AI job market by demonstrating foundational AI knowledge.
• Future-Proof Your Skills: Develop in-demand skills applicable to a variety of AI-related roles and industries.
• AI Landscape Understanding: Gain valuable insights into the current job market outlook and required skills for success in the AI domain.

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Certification details

What you will learn

• Azure ML & MLflow Mastery: Gain proficiency in using Azure Machine Learning and MLflow for the entire machine learning lifecycle.
• End-to-End ML Solution Development: Learn to design, build, deploy, and monitor scalable machine learning solutions on Azure.
• Data Ingestion, Preparation, and Pipelines: Master techniques for efficient data ingestion, preparation, and the creation of robust ML pipelines.

Why earn this certification

• Become a Highly-Sought Azure ML Expert: Showcase your expertise in building and deploying machine learning solutions on the Azure platform.
• Enhance your Data Science Career: Acquire in-demand skills for managing and monitoring production-level machine learning workloads.
• Build Scalable and Reliable ML Solutions: Develop the skills to create robust, high-performing machine learning solutions for real-world applications.

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Certification details

What you will learn

• Neo4j Expertise: Demonstrate mastery of core Neo4j concepts and practical skills, becoming a sought-after graph database expert.
• Cypher Query Proficiency: Develop advanced Cypher query skills for efficient data manipulation and analysis within the Neo4j graph database.
• Graph Data Modeling and Application Development: Gain experience in designing effective graph data models and building applications using Neo4j and Python.

Why earn this certification

• Boost Your Career Prospects: Gain a competitive advantage in the rapidly growing field of graph databases by demonstrating your Neo4j expertise.
• Validate Your Skills: Officially certify your proficiency in Neo4j, showcasing your skills to potential employers and clients.
• Meet Market Demand: Acquire in-demand skills to address the increasing need for NoSQL and graph database professionals.

Source

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Certification details

What you will learn

• Python for Data Analysis: Master the fundamentals of data analysis using the powerful Python programming language.
• Data Wrangling Expertise: Learn to efficiently read data from various sources (CSVs, SQL) and process it using libraries like NumPy and Pandas.
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Source

• Ph.D., Department of Linguistics, Rice University, Houston, Texas, USA

• M.A., Department of Linguistics, Rice University, Houston, Texas, USA

National Taiwan University

• M.A., Graduate Institute of Linguistics, National Taiwan University, Taipei, Taiwan

• B.A., Department of Foreign Languages & Literatures, National Taiwan University, Taipei, Taiwan

• Huang, Ruiling & Haowen Jiang. 2022. A corpus-based study of minimizers in Taiwanese Southern Min: the case of sió-khuá and tām-po̍h, presented at the 16th International Conference on Min Dialects (ICMD-16), University of Macau, Macau, Nov 18-21.
• Jiang, Haowen & Ruiling Huang. 2022. A corpus-based study of minimizers in Taiwanese Southern Min: the case of sió-khuá and tām-po̍h, presented at the 28th Annual Conference of International Association of Chinese Linguistics (IALC-28), the Chinese University of Hong Kong, Hong Kong, May 20-22.
• Chen, Sihwei & Haowen Jiang. 2020. Update now: Decomposing “iamitive”, presented at the 38th meeting of the West Coast Conference on Formal Linguistics (WCCFL-38), University of British Columbian, Canada, March 6-8.
• Jiang, Haowen & Ruiling Huang. 2019. A comparative study of paucal expressions in Min Chinese (Chinese title: 闽南方言小量表达的对比研究), presented at the Workshop on Language Variation and Change, Changshu Institute of Technology, China, December 21-22.
• Jiang, Haowen. 2019d. Verb classes in Central Amis: Evidence from grammatical nominalizations, presented at the Workshop on Verb Classes in Formosan Languages and Beyond: Cross-linguistic, Comparative, and Diachronic Perspectives, Academia Sinica, Taiwan, November 15-16.
• Jiang, Haowen. 2019c. A typological study of associative plurals in Formosan languages (Chinese title: 台湾南岛语连类复数的语言类型学研究), presented at the 3rd Symposium on Neo-descriptivism, Hangzhou Normal University, China, November 9-10.
• Jiang, Haowen. 2019b. Speaking of speaking: Construction-coerced change of semantic roles for verbs of speaking in Puyuma (Austronesian), presented at the 15th International Cognitive Linguistics Conference (ICLC-15), Kwansei Gakuin University, Japan, August 6-11.
• Jiang, Haowen. 2019a. A typology of possessive substantives in Formosan languages, presented at the 4th International Symposium on Language Typology (ISLT-4), Renmin University, China, July 5-7.
• Jiang, Haowen & Masayoshi Shibatani 2019. Nominal-based nominalization: The case of (numeral) classifiers, presented at the 27th Annual Conference of International Association of Chinese Linguistics (IALC-27), Kobe City University of Foreign Studies, Japan, May 10-12.
• Jiang, Haowen. 2018. On the function of PAn *nu and its implication on the development of possessive NPs, presented at the 28th Annual Meeting of the Southeast Asian Linguistics Society (SEALS-28), Wenzao Ursuline University of Languages, Taiwan, May 17-19.
• Chen, Sihwei & Haowen Jiang. 2018. Ways of talking about the past: The semantics of -in- and =in in Bunun, presented at the 25th Annual Meeting of the Austronesian Formal Linguistics Association (AFLA-25), Academia Sinica, Taiwan, May 10-12.
• Jiang, Haowen. 2016. Subject indexes in Budai Rukai, presented at the 23rd Annual Meeting of the Austronesian Formal Linguistics Association (AFLA-23), Tokyo University of Foreign Studies, Japan, June 10-12.
• Jiang, Haowen & Loren Billings. 2015. Evidence from Puyuma for only a single clitic-pronoun paradigm in Proto Austronesian, presented at the panel on “Topics in the morphosyntax of higher-order Austronesian subgrouping: Considering the Nuclear Austronesian hypothesis” at the 13th International Conference on Austronesian Linguistics, Academia Sinica, Taiwan, July 18-23.
• Jiang, Haowen & Loren Billings. 2014. Case closed: Positionally conditioned pronoun allomorphy (+ an inverse clitic) in Rikavung Puyuma, presented at the 5th International Conference on Phonology and Morphology (ICPM-5), Chonnam National University, South Korea, July 3-5.
• Jiang, Haowen. 2014. What’s in there? On the non-place-denoting function of locative demonstratives in spoken Mandarin, presented at the Bloomsbury Round Table: The Third International Symposium on Chinese Language and Discourse (ISCLD-3), Birkbeck, University of London, United Kingdom, June 11-13.
• Jiang, Haowen & Loren Billings. 2014a. Person-based ordering of pronominal clitics in Rikavung Puyuma: An inverse analysis, presented at the 21st Annual Meeting of the Austronesian Formal Linguistics Association (AFLA-21), University of Hawai‘i at Mānoa, USA, May 23-25.
• Jiang, Haowen. 2012b. Demonstratives and nominalization: On the differential scope of the two sets of demonstratives in Isbukun Bunun, presented at the 19th Annual Meeting of the Austronesian Formal Linguistics Association (AFLA-19), Academia Sinica, Taiwan, June 26-29.
• Jiang, Haowen. 2012a. This also is the case: An intralingual study of two additive focus particles (ia3 and me3) in Hakka, presented at the Second International Symposium on Chinese Language and Discourse (ISCLD-2), Nangyang Technological University, Singapore, June 9-11.
• Jiang, Haowen. 2011. On the grammaticalization of nominalization marker =ay in Kavalan and Amis: A contrastive study, presented at the 85th Annual Meeting of the Linguistic Society of America (LSA-85), Pittsburgh, Pennsylvania, USA, January 6-9.
• Jiang, Haowen. 2010. Appearances can be deceiving: A preliminary corpus study of de yangzi ‘appearance of’ in Mandarin, presented at the First International Symposium on Chinese Language and Discourse (ISCLD-1), University of California at Los Angeles, USA, October 29-31.
• Jeng, Hengsyung & Haowen Jiang. 2010. The spatial and temporal conceptualizations of Isbukun Bunun, presented at the 4th Conference on Language, Discourse and Cognition (CLDC-4), National Taiwan University, Taiwan, May 1-2.
• Jiang, Haowen. 2009. Spatial deixis as motion predicates and aspect markers: The case in Kavalan, presented at the 11th International Conference on Austronesian Linguistics (ICAL-11), Aussois, France, June 22-26.
• Jiang, Haowen. 2008b. Motion in narratives: finding the way in Kavalan, presented at the 10th Philippines Linguistics Congress (PLC-10), University of the Philippines at Diliman, Philippines, December 10-12.
• Jiang, Haowen. 2008a. How can Cognitive Linguistics help us with Second Language Acquisition? A case study of the Russian motion verb idti, presented at the 8th High Desert Linguistics Society Conference (HDLS-8), University of New Mexico, USA, November 6-8.
• Jiang, Haowen. 2005. Spatial language in Kavalan, presented at May Day Festival: Workshop on Discourse and Cognition (II), National Taiwan University, Taiwan, May 7.

Invited Talks

• Shibatani, Masayoshi, Prashant Pardeshi, and Haowen Jiang. 2023. Nominalization-classifier continua and overlaps in languages of China, presented at Classifiers in Asian Languages, Zhejiang University, China, May 20.
• Jiang, Haowen. 2019d. Inclusory constructions in Formosan languages, presented at Palacký University Olomouc, Czech Republic, November 27. (Funded by the project “Sinophone Borderlands: Interaction at the Edges”, Olomouc, Czech)
• Jiang, Haowen. 2019c. Associative plurals and inclusory constructions in Formosan languages, presented at Linguistic Salon for Young Researchers, Fudan University, China, April 3.
• Jiang, Haowen. 2019b. Associative plurals and inclusory constructions in Formosan languages, presented at Linguistics Colloquium, National Taiwan Normal University, Taiwan, March 13.
• Jiang, Haowen. 2019a. Spatial grammar and Austronesian languages: A typological perspective, presented at Education and Research Center for Indigenous Peoples, National Pingtung University, Taiwan, March 7.
• Jiang, Haowen. 2018. A typological study of nominalization in Formosan languages, presented at at Center for Chinese Linguistics, Peking University, China, October 11.
• Jiang, Haowen. 2017. Taking function seriously: Argument and event nominalization in Budai Rukai, presented at the Nominalization Festival III, Osaka University, Japan, July 8. (Funded by the Rice-Osaka University joint project)
• Jiang, Haowen. 2016b. Subject indexes in Budai Rukai and hortative meanings in Austronesian, presented at the Linguistics Colloquium, Institute of Linguistics, Academia Sinica, Taiwan, August 1.
• Jiang, Haowen. 2016a. Nominalization in Amis: A Formosan language, presented at the Nominalization Festival II, Osaka University, Japan, June 4. (Funded by the Rice-Osaka University joint project)
• Jiang, Haowen. 2015. A nominalization account of possessive substantives in Formosan languages, presented at the Nominalization Festival I, Osaka University, Japan, August 8. (Funded by the Rice-Osaka University joint project)
• Jiang, Haowen & Loren Billings. 2014. What dialects with clustered (rather than verb-sandwiching) clitics tell us about argument indexing in Puyuma, presented at the Celebratory Conference for the 20th Anniversary of the Graduate Institute of Linguistics, National Taiwan University, Taiwan, November 8.
• Jiang, Haowen. 2013. The possession-modification scale and a reappraisal of “genitive” in Paiwan, Rukai, and Puyuma, presented at the Second NTU Workshop on Discourse and Grammar in Formosan Languages, Graduate Institute of Linguistics, National Taiwan University, Taiwan, June 1.
• Jiang, Haowen. 2012c. Three dichotomies in the Kavalan demonstrative system, presented at Linguistics Colloquium, National Chi Nan University, Taiwan, October 25.
• Jiang, Haowen. 2012b. Nominalization and stance marking in Kavalan and Amis: A contrastive study of =ay, presented at Linguistics Colloquium, National Chi Nan University, Taiwan, October 24.
• Jiang, Haowen. 2012a. Demonstratives and nominalization: On the differential scope of the two sets of demonstratives in Isbukun Bunun, presented at Linguistics Colloquium, National Chi Nan University, Taiwan, October 22.
• Jiang, Haowen. 2011c. Nominalization and stance marking in Kavalan and Amis: A contrastive study of =ay, presented at Stance Marking across Languages: Typological, Diachronic & Discourse Perspectives, Hong Kong Polytechnic University, Hong Kong, July 18-20.
• Jiang, Haowen. 2011b. Appearances are not skin deep: On the development of de yangzi as an inferential maker in Mandarin spoken discourse, presented at Stance Marking across Languages: Typological, Diachronic & Discourse Perspectives, Hong Kong Polytechnic University, Hong Kong, July 18-20.
• Jiang, Haowen. 2011a. On the grammaticalization of the nominalization marker =ay in Kavalan and Amis: A contrastive study, presented at Linguistics Colloquium, Rice University, USA, January 27.
• Jiang, Haowen. 2009. Three dichotomies in the Kavalan demonstrative system, presented at Linguistics Colloquium, Rice University, USA, September 17.

Jiang, Haowen. 2019. A typological study of plural expressions: Associative plurals and inclusory constructions in Austronesian languages of Taiwan (in Chinese). Beijing: Peking University. 🔻pdf

• Funded by Chinese Postdoctoral Science Foundation (Batch No. 64, Grant No. 2018M641047)

PhD Dissertation

Jiang, Haowen. 2016. Nominalization and possession in Formosan languages. Houston, TX: Rice University. 🔻pdf

• Funded by Chiang Ching-kuo Foundation for International Scholarly Exchange (In 2012)
• Archived at Rice Digital Scholarship Archive

MA Thesis

Jiang, Haowen. 2006. Spatial conceptualizations in Kavalan. Taipei: National Taiwan University. 🔻pdf

Articles and Chapters

• Jiang, Haowen. 2023b. 16. Nominalization in Formosan Languages. In Paul Jen-kuei Li, Elizabeth Zeitoun & Rik De Busser (eds.), Handbook of Formosan Languages: The Indigenous Languages of Taiwan. Leiden: Brill. Brill Online

• Jiang, Haowen. 2023a. Person systems in Puyuma, an Austronesian language of Taiwan (in Chinese). Essays on Linguistics 4: 20-40. 北大期刊网(PKU Journals) 🔻pdf

• Jiang, Haowen. 2021c. On identifying the scope of clitics: A case study of Bunun demonstratives (in Chinese). Linguistic Sciences 20(6): 589-607. 语言科学(Yuyan Kexue) 🔻pdf

• Jiang, Haowen. 2021b. Taking functions seriously: Grammatical nominalization in Budai Rukai revisited. In Sung-yeo Chung & Masayoshi Shibatani (eds.), 体言化理論と言語分析 (Nominalization Theory and Linguistic Analysis), 325-352. Osaka: Osaka University Press. Amazon

• Jiang, Haowen. 2021a. Argument nominalization in Formosan languages: A functional-typological approach. In Sung-yeo Chung & Masayoshi Shibatani (eds.), 体言化理論と言語分析 (Nominalization Theory and Linguistic Analysis), 295-323. Osaka: Osaka University Press. Amazon

• Chen, Shiwei & Haowen Jiang. 2020. Ways of talking about the past The semantics of -in- and =in in Bunun. In Henry Y. Chang & Hui-chuan J. Huang (eds.), Papers from the Austronesian Formal Linguistics Association 25 (JSEALS Special Publication No. 5), 1-21. Honolulu: University of Hawai’i Press. 🔻pdf

• Jiang, Haowen & Loren Billings. 2015. Person-based ordering of pronominal clitics in Rikavung Puyuma: An inverse analysis. In Amber Camp, Yuko Otsuka, Claire Stabile & Nozomi Tanaka (eds.), AFLA 21: The Proceedings of the 21st Meeting of the Austronesian Formal Linguistics Association (Asia-Pacific Linguistics 25), 87–106. Canberra: Australian National University. 🔻pdf

• Jiang, Haowen. 2013. Appearances are not skin deep: On the status of de yangzi as an inferential marker in colloquial Mandarin discourse. Chinese Language and Discourse 4(1): 35–73. John Benjamins

• Jiang, Haowen. 2009b. How can Cognitive Linguistics help us with second language acquisition? A case study of the Russian motion verb idti. In Evan Ashworth, Melvatha Chee, Grandon Goertz & Brittany Kubacki (eds.), Proceedings of the 8th High Desert Linguistics Society Conference (HDLS-8), 40-60. Albuquerque: High Desert Linguistics Society. 🔻pdf

• Jiang, Haowen. 2009a. Reported speech and thought in Kavalan. Rice Working Papers in Linguistics 1: 142–150. 🔻pdf

• Jiang, Haowen. 2004. The “…shi…, keshi…” construction in Mandarin: A Construction Grammar perspective. Proceedings of the 4th National Conference on Linguistics. 🔻pdf

Manuscript

Jiang, Haowen. 2010. Malayalam: A grammatical sketch and a text. 🔻pdf

• Archived at Semantic Scholar

• This blog documents my learning journey to the world of programming and NLP.

Language learning APP

• This Web APP leverages the power of spaCy to assist language learning, and currently supports Mandarin, English, and Japanese.

Database of Formosan-Mandarin sentence pairs

• This is a database of Formosan-Mandarin sentence pairs, covering over 13,000 sentences across 16 Formosan languages that I crawled from various sources.

The Wordle game in languages of Taiwan

• In Taiwanese Southern Min: Play the game here!
• In Paiwan: play the game here!
• In Amis: play the game here!