With over 53,000 learners enrolled and a 4.6-star rating, the nine-hour self-paced programme covers LLMs, RAG pipelines, prompt engineering, and cloud deployment — at no cost.
Category: Free Course | Level: Beginner · Online · Self-Paced
As demand for Artificial Intelligence skills continues to surge across industries, AI education platform Analytics Vidhya has made its GenAI Learning Path available completely free of charge — no fees, no trial period, and no prerequisites beyond curiosity.
The structured, self-paced programme spans nine hours across seven modules and takes learners from foundational concepts in Generative AI all the way through building Retrieval-Augmented Generation (RAG) pipelines and deploying AI models on Amazon Web Services. It is one of the platform’s most-enrolled offerings, with more than 53,000 registered learners and a user rating of 4.6 out of 5.
Upon completing all modules and passing a final assessment, learners receive an industry-recognised certificate — also at no cost.
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COURSE FEE The GenAI Learning Path is fully free to enrol, access, and complete — including certification. No credit card or payment is required at any stage. |
AT A GLANCE
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Duration |
9 Hours |
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Modules |
7 Modules · 19 Lessons |
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Level |
Beginner |
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Course Fee |
Free (?0 / $0) |
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Certificate |
Yes — on completion & assessment |
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Mode |
Online, Self-paced |
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Tools |
LlamaIndex, LangChain, AWS, ChatGPT, Midjourney |
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Enrol at |
COURSE CURRICULUM
The learning path is divided into seven progressive modules, each structured as a standalone course and collectively forming the full GenAI curriculum. Learners can work through them in sequence or dip into specific modules based on their existing knowledge.
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1 |
GenAI for Everyone |
1 Hr · 2 Lessons |
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Introduction to Generative AI |
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Inside the LLM Solar System |
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2 |
Generative AI — A Way of Life |
4 Hrs · 3 Lessons |
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Introduction to Generative AI |
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Text Generation Using Generative AI |
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Image Generation Using Generative AI |
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3 |
Getting Started with Large Language Models |
1 Hr 20 Min · 3 Lessons |
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The Evolution of NLP |
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What are Large Language Models? |
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The Current State of the Art in LLMs |
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4 |
Building LLM Applications using Prompt Engineering |
2 Hrs · 3 Lessons |
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How to Build Different LLM Applications |
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Getting Started with Prompt Engineering |
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Understanding Different Prompt Engineering Techniques |
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5 |
Build Your First RAG System using LlamaIndex |
2 Hrs · 3 Lessons |
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Introduction to RAG Systems |
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Getting Started with LlamaIndex |
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Components of LlamaIndex |
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6 |
Build Products 10x Faster with GenAI |
30 Min · 2 Lessons |
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Advanced Prompt Engineering for Developers |
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AI Development Tools Deep Dive |
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7 |
Generative AI on AWS |
1 Hr · 5 Lessons |
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Getting Started with GenAI on AWS — Setup & Cost Overview |
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Setting Up Your AWS Environment |
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Amazon SageMaker |
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Inside SageMaker — Working with Jupyter Notebooks |
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Multimodal Embeddings — Matching Images with Text using AI |
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LEARNING OUTCOMES
By the end of the programme, learners are expected to have working knowledge of GenAI fundamentals and hands-on experience with modern AI tooling used in the industry today.
• GenAI Foundations — Understand how Generative AI works, how LLMs are trained, and where they are applied in the real world.
• Build with LLMs & RAG — Create scalable GenAI applications using LlamaIndex, LangChain, and advanced RAG techniques.
• Deploy on Cloud — Set up, run, and manage GenAI workloads on AWS using SageMaker and Jupyter Notebooks.
• Prompt Engineering — Apply zero-shot, few-shot, and chain-of-thought prompting to guide LLM outputs effectively.
• Text & Image Generation — Generate text and images using tools like ChatGPT, Google Gemini, Midjourney, and Runway.
• Free Certificate — Earn a shareable, industry-recognised credential after passing the final module assessment.
ELIGIBILITY & AUDIENCE
The course carries no formal eligibility requirements. It is open to anyone with an internet connection and a free Analytics Vidhya account. While the early modules require no coding background, some familiarity with Python will be helpful in later sections covering LlamaIndex and AWS.
• Beginners — Those new to AI who want a structured, jargon-light entry point into Generative AI concepts and tools.
• Developers & Data Scientists — Technical professionals looking to add LLM and RAG application development to their skill set.
• Working Professionals — Those seeking a free, verifiable credential to signal AI literacy to employers or clients.
• Students & Enthusiasts — Anyone keen to explore modern AI workflows through guided, project-oriented content.
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PREREQUISITES No prerequisites are required to begin. Basic Python knowledge is helpful but not mandatory — the early modules are entirely conceptual and accessible to all. |
CERTIFICATION
Learners who complete all seven modules and pass the final assessment receive a certificate from Analytics Vidhya. The credential is designed to be portfolio- and career-ready.
• Industry-Recognised — Valued by employers in AI, data, and technology sectors.
• Shareable — Can be added to LinkedIn profiles, resumes, and online portfolios.
• Career Credential — Signals practical, hands-on GenAI skills rather than theoretical familiarity alone.
• Completely Free — No fee is charged for the certificate or the course itself.
Free to enrol. Free to certify. No deadline.
