Generative AI Training Courses

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. We also offer specialized training in areas like AI Governance, ensuring responsible and ethical use of AI, and Agentic AI, focusing on developing autonomous systems. These courses cover the fundamentals to advanced applications, including the development, evaluation, and monitoring of Generative AI models.

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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

Advanced GenAI Development and AI Governance

Mastering Generative AI with PyTorch (WA3547)

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

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Architecting Autonomous Systems with Agentic AI (GAI-3101)

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Responsible Leadership of Generative AI Initiatives (GAI-3301)

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Practicing Responsible Generative AI (GAI-2202)

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

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AI for Developers

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

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Boosting Developer Productivity with AI (WA3417)

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

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Microsoft Azure AI Fundamentals (AI-900T00)

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

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

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AI for Data Scientists

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

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

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

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Designing and Implementing Enterprise-Grade ML Applications (WA3518)

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AI Computer Vision (WA3519)

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Fundamentals of Deep Learning and Generative AI (WA3462)

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