<h2>About this course</h2>
<p>This free cohort from iNeuron takes you deep into <a href="/topics/generative-ai">generative AI</a> — from building <a href="/topics/rag">RAG</a> (Retrieval-Augmented Generation) systems and <a href="/topics/fine-tuning">fine-tuning</a> models to shipping real projects with <a href="/topics/langchain">LangChain</a> and LlamaIndex. iNeuron's instructor-led cohort model means you'll learn alongside peers and get hands-on with production-grade tools, not just theory.</p>

<h2>What you'll learn</h2>
<ul>
<li>Build retrieval-augmented generation (RAG) systems that let AI models access external knowledge sources</li>
<li>Use LangChain to orchestrate multi-step AI workflows and chain together language models with tools</li>
<li>Index and query large datasets with LlamaIndex for semantic search and knowledge retrieval</li>
<li>Fine-tune language models on custom datasets to adapt them for specific tasks or domains</li>
<li>Design and debug <a href="/topics/prompt-engineering">prompt engineering</a> strategies for production generative AI applications</li>
<li>Deploy end-to-end AI projects from notebook to working application</li>
<li>Understand vector embeddings, similarity search, and why they power modern AI systems</li>
</ul>

<h2>Who this is for</h2>
<p>If you're eager to move beyond AI tutorials and build real systems, this course is for you. You'll benefit most if you already write code and want to level up into the generative AI world — no <a href="/topics/deep-learning">deep learning</a> PhD needed.</p>
<ul>
<li><strong>Software <a href="/for/developers">developers</a></strong> — expand your skillset with AI APIs and frameworks that make you more valuable in a market where every startup needs "AI features"</li>
<li><strong>Data professionals</strong> — transition from analytics to generative AI by learning how to build systems that reason over data</li>
</ul>

<h2>Prerequisites</h2>
<p>Solid Python programming skills and comfort with command-line tools. Basic familiarity with APIs and databases helps. You don't need machine learning experience — the course teaches generative AI frameworks, not low-level ML theory.</p>

<h2>Why this matters for Indian learners</h2>
<p>India's startup ecosystem and IT services sector are racing to integrate generative AI. Companies like Nasscom members, IT consulting firms, and deeptech startups are urgently hiring developers who can build LLM-powered products. Generative AI engineer and prompt engineer roles are now advertised with competitive salaries — and this cohort gives you concrete skills that hiring <a href="/for/managers">managers</a> recognize.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes. The entire cohort is free — no hidden costs, no paid upgrade to get the good stuff.</p>
<h3>How long will it take to complete?</h3>
<p>The course is structured as 60 hours total. If you commit 8–10 hours per week, you'll finish in 6–8 weeks. Cohort formats usually include live sessions plus self-paced recordings, so you can fit it around a job or studies.</p>
<h3>Will I get a certificate?</h3>
<p>This cohort does not issue a certificate. You'll have projects and hands-on work to show employers, which often matters more than a badge.</p>

iNeuron's free GenAI and ML cohort recordings.

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iNeuron's free GenAI cohort recordings — LangChain, LlamaIndex, RAG, fine-tuning, projects.

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