Generative AI 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.

GenAI Engineering on Azure GenAI Engineering on AWS

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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17 results found for "Generative AI"

Prompt Engineering: Techniques and Best Practices (WA3307)

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Introduction to Generative AI (WA3407)

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Applied Linear Algebra, Calculus and Statistics for AI, ML and Data Science (WA3418)

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AI-Powered Product Thinking (TP3435)

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Fundamentals of Deep Learning and Generative AI (WA3462)

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Generative AI Foundations (WA3497)

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Introduction to Generative AI for Developers (WA3508)

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Introduction to Generative AI Engineering for LLMOps (WA3511)

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Intermediate Generative AI Engineering for LLMOps (WA3512)

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Comprehensive Generative AI Engineering for LLMOps (WA3513)

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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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