Generative AI Training Courses

Generative artificial intelligence (GenAI) describes algorithms that can be used to create new content, including audio, code, images, text, simulations, and videos. While free end-user tools like ChatGPT and Google Gemini have captured the attention and imagination of many people, the real power of GenAI for many organizations lies in customizing large learning models with their proprietary data. This makes for more efficient and secure results but requires a much higher level of sophistication on the part of the team.

ExitCertified offers Generative AI training courses for every role, ranging from end-user ChatGPT and prompt engineering training to advanced courses on Generative AI Engineering for data science professionals.

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Download our GenAI learning paths on Azure and AWS below.

Topic

AI for Developers

Analytics - Building Intelligent Chatbots with ChatGPT (BUILD-CHATBOT)

Boosting Developer Productivity with AI (WA3417)

Microsoft - Introduction to GitHub Copilot (WA3336)

AWS - Amazon SageMaker Studio for Data Scientists (AWS-SMS-DS)

Microsoft Azure AI Fundamentals (AI-900T00)

Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)

AI for DevOps/MLOps Training

Developing Advanced LLM Applications (WA3510)

Introduction to Generative AI Engineering for LLMOps (WA3511)

Intermediate Generative AI Engineering for LLMOps (WA3512)

Comprehensive Generative AI Engineering for LLMOps (WA3513)

Serving and Deploying Enterprise LLM Applications (WA3514)

AI for Data Scientists

Introduction to Generative AI Engineering for Data Scientists and ML Engineers (WA3515)

Intermediate Generative AI Engineering for Data Scientists and ML Engineers (WA3516)

Comprehensive Generative AI Engineering for Data Scientists and ML Engineers (WA3517)

Designing and Implementing Enterprise-Grade ML Applications (WA3518)

AI Computer Vision (WA3519)

Fundamentals of Deep Learning and Generative AI (WA3462)

AI for Managers

Introduction to Generative AI (WA3407)

AI Security, Compliance, and Explainability (WA3410)

Foundations of Responsible AI with the NIST AI Risk Management Framework (WA3551)

Understanding Generative AI Risks: Security, Ethics, and Social Implications (WA3556)

Foundations of Responsible AI for Executives (AI-154WA)

AI for End and Business Users

Introduction to Generative AI (WA3407)

Introduction to AI and ML (WA3408)

Overview of Generative AI (AI-116)

Prompt Engineering: Techniques and Best Practices (WA3307)

ChatGPT Basics (WA3403)

AI Security, Compliance, and Explainability (WA3410)

Empower your workforce with Microsoft 365 Copilot Use Cases (MS-4004)

Microsoft - Copilot for End-users (MS-4005+MS-4007)

Building Advanced Intelligent Virtual Agents in IBM watsonx Assistant (W7S165G-SPVC)

ChatGPT Advanced Data Analysis (WA3487)

Developing Generative AI Applications on AWS with Hands-On Labs (AWS-GENAI-LABS)

IBM watsonx.data on IBM Cloud Pak for Data 4.8: Modernize Your Data Warehouse and Streamline Data Analytics (6XL946G)

Generative AI Foundations (WA3497)

IBM - watsonx Code Assistant for Red Hat Ansible Lightspeed: Generative AI Training (W7S174G-SPVC)

Introduction to Generative AI for Developers (WA3508)

Intermediate Generative AI for Developers (WA3509)

Developing Advanced LLM Applications (WA3510)

Introduction to Generative AI Engineering for LLMOps (WA3511)

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