<h2>About this course</h2>
<p>Physics Wallah Skills brings you a comprehensive recorded cohort on <a href="/topics/generative-ai">Generative AI</a>—covering <a href="/topics/llm">Large Language Models</a>, <a href="/topics/langchain">LangChain</a>, vector databases, and real-world deployment strategies. This is a serious, hands-on introduction to the tools reshaping AI development, taught by instructors who understand both theory and production realities. Whether you're building your AI foundation or preparing for tech roles in India's growing AI sector, this course gets straight to the practical skills that matter.</p>

<h2>What you'll learn</h2>
<ul>
  <li>How Large Language Models (LLMs) work under the hood—from tokenization to attention mechanisms—and how to use them effectively in applications</li>
  <li>LangChain fundamentals: building chains, managing prompts, integrating external data sources, and orchestrating multi-step AI workflows</li>
  <li>Vector databases and semantic search: storing embeddings, retrieving relevant context, and powering <a href="/topics/rag">RAG</a> (Retrieval-Augmented Generation) systems</li>
  <li><a href="/topics/fine-tuning">Fine-tuning</a> and <a href="/topics/prompt-engineering">prompt engineering</a> techniques to customize models for your specific use cases</li>
  <li>Deployment strategies: taking models from notebook to production—containerization, API design, and scalability basics</li>
  <li>Working with open-source and proprietary models: choosing the right tool for the job and managing costs</li>
  <li>Building a small end-to-end AI project: from problem definition through deployment and monitoring</li>
</ul>

<h2>Who this is for</h2>
<p>You're learning this if you want hands-on GenAI skills without expensive bootcamps. This course assumes some programming comfort but doesn't require prior AI or machine learning experience.</p>
<ul>
  <li><strong>Software <a href="/for/developers">developers</a></strong> — add AI-native features to your projects and stay competitive in a rapidly evolving job market</li>
  <li><strong>Data analysts and engineers</strong> — transition into AI roles by learning modern tools that Indian tech companies actively hire for</li>
</ul>

<h2>Prerequisites</h2>
<p>Basic Python programming (loops, functions, libraries like pandas) and comfort with the command line. No prior machine learning or AI knowledge required.</p>

<h2>Why this matters for Indian learners</h2>
<p>GenAI skills are now table stakes for tech careers in India. Startups, product companies, and even traditional enterprises are racing to build AI features—and they're hiring engineers who understand LangChain, vector DBs, and deployment. Whether you're aiming for roles at Bangalore AI startups, scaling to FAANG teams, or building your own project, these skills directly increase your earning potential and job security. Indian tech salaries for GenAI roles are climbing faster than most specializations; this course gives you the technical foundation to capture that opportunity.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes. Physics Wallah Skills provides the full recorded cohort at no cost—no hidden fees, no upsell. You get lifetime access to the recordings.</p>
<h3>How long will it take to complete?</h3>
<p>The course is structured for 80 hours of learning. If you dedicate 10–12 hours per week, you'll finish in about 6–8 weeks. You can move faster or slower depending on your pace and project work.</p>
<h3>Will I get a certificate?</h3>
<p>This course does not offer a formal certificate. However, building a real project during the course and showcasing it in your portfolio is far more valuable to employers than a badge.</p>

Physics Wallah Skills — affordable Indian tech education.

PWSkills

Physics Wallah Skills' recorded GenAI cohort — LLMs, LangChain, vector DBs, deployment. Free recordings.

Generative AI Cohort (PWSkills)

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9 free AI courses from Google — covering generative AI, LLMs, prompt engineering, ML basics, and more.

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