Welcome to the “Advanced Generative Ai Workflows” Course!
In this hands-on course, we’ll go beyond just using LLMs — you’ll learn to build powerful GenAI applications using cutting-edge techniques like Retrieval-Augmented Generation (RAG) and Multi-Agent Systems, and deploy them to production environments like AWS.
But we’re not just building — we’re also understanding.
While we won’t go deep into math (that’s covered in LLM internals course), you’ll come out of this course confident enough to explain how these systems work and evaluate and improve GenAI apps using the right metrics and testing strategies.
What You’ll Learn:
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How to build and deploy GenAI apps using RAG and Multi-Agent Systems
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High-level understanding of conversational AI internals.
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How to design, test, and evaluate GenAI applications
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How to deploy applications on AWS and scale these applications using Karpenter, Kubernetes. We emphasize a lot on productionalization aspect.
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Best practices for making LLM-powered systems robust and scalable
Who is this course for?
Developers, ML practitioners, and AI enthusiasts who want to build and deploy real-world GenAI applications — while understanding how they work under the hood.
** Ideal time to complete the course with all the assignments is 3 months
Prerequisites:
To get the most out of this course, you should be comfortable with:
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Basic Python programming
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Working with lists, tuples, dictionaries
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Using functions and classes
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Familiarity with NumPy and Pandas
Course Lifetime:
You will have access to the course for a period of 365 days from the date of Purchase. If you want to renew the course after 365 days, you DONT need to pay complete amount. You will be getting 50% discount. Before renewing the course, please reach out to us, we will share personalised coupon code.
