Infrastructure Generative AI Training Courses

Generative (GenAI) creates 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.

Ascendient Learning 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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Training
Topics
Generative AI
Infrastructure

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Click on our learning paths on Azure and AWS below.

GenAI Learning Journey GenAI Engineering on Azure GenAI Engineering on AWS

Topic

Generative AI Fundamentals and Applications

ChatGPT Basics (WA3403)

Introduction to Generative AI Concepts (GAI-1001)

Building Generative AI Applications (GAI-1101)

Foundations of Coding Assistants with GitHub Copilot (GAI-1102)

Enhancing Generative AI

Customizing Generative AI Models (GAI-1201)

Foundations of Prompt Engineering (GAI-2001)

Developing Advanced Generative AI Applications (GAI-2102)

Evaluating & Monitoring Generative AI Models and Applications (GAI-2201)

Practicing Responsible Generative AI (GAI-2202)

Managing Generative AI Projects (GAI-2301)

Advanced GenAI Development and AI Governance

Mastering Generative AI with PyTorch (WA3547)

Responsible AI with the NIST AI Risk Management Framework (GAI-3001)

Architecting Autonomous Systems with Agentic AI (GAI-3101)

Responsible Leadership of Generative AI Initiatives (GAI-3301)

Practicing Responsible Generative AI (GAI-2202)

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

AI for Developers

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

Boosting Developer Productivity with AI (WA3417)

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)

Microsoft - Create Document Intelligence Solutions with Azure AI Document Intelligence (AI-3002)

AI for DevOps/MLOps

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

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 AI and ML (WA3408)

Overview of Generative AI (AI-116)

Prompt Engineering: Techniques and Best Practices (WA3307)

ChatGPT Basics (WA3403)

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

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