<h2>About this course</h2>
<p>Cohere LLM University is a free, hands-on course from Cohere—one of the leading AI companies behind production language models used globally. This course teaches you the core techniques that power modern AI: text embeddings (understanding meaning), classification (categorizing text), generation (creating text), and <a href="/topics/rag">RAG</a> (retrieval-augmented generation, which lets AI pull from real data). Whether you're building an AI product or trying to understand how these systems work under the hood, this course bridges the gap between theory and practice.</p>

<h2>What you'll learn</h2>
<ul>
  <li>How to use text embeddings to find semantic similarity and build search or recommendation systems</li>
  <li>How to classify text efficiently—sorting emails, reviews, or support tickets into categories</li>
  <li>How to prompt and tune language models to generate high-quality text for your use cases</li>
  <li>How to implement RAG (retrieval-augmented generation) so AI models can answer questions grounded in your own documents or data</li>
  <li>Practical skills to integrate these techniques into real applications without needing a PhD</li>
  <li>When and why to use each technique based on your problem—not just the "how"</li>
  <li>Best practices from Cohere's production experience building AI systems at scale</li>
</ul>

<h2>Who this is for</h2>
<p>This course is for anyone who wants to move beyond "playing with ChatGPT" and actually understand how to build with language models. You don't need to be a machine learning expert—just curious and willing to get hands-on.</p>
<ul>
  <li><strong>Aspiring AI Engineers</strong> — build a portfolio of real skills that tech companies are actively hiring for right now</li>
</ul>

<h2>Prerequisites</h2>
<p>Basic familiarity with Python is helpful. You should be comfortable with concepts like functions and data structures. No machine learning background needed—the course assumes you're starting fresh on the AI side.</p>

<h2>Why this matters for Indian learners</h2>
<p>India's AI job market is exploding. Companies across fintech, e-commerce, healthcare tech, and SaaS are building AI features—from Razorpay's fraud detection to Flipkart's search and recommendations to health-tech startups using AI for diagnostics. Learning embeddings, classification, and RAG makes you immediately valuable for these roles, and many pay ₹8–15 lakh annually for mid-level AI engineers. Cohere's tools are free and production-grade, so what you learn here translates directly to what companies actually use.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes. Cohere offers this course completely free—no hidden paywall, no paid certificate upsell. You can take it at your own pace.</p>

<h3>How long will it take to complete?</h3>
<p>The course is designed as a 20-hour commitment. If you dedicate 3–4 hours per week, you'll finish in 5–6 weeks. You can go faster or slower depending on how deeply you want to practice.</p>

<h3>Will I get a certificate?</h3>
<p>This course does not offer a certificate of completion. However, the real credential is the skills you build—use what you learn to build a small project (a classifier, a RAG chatbot, or a search feature) and that becomes your portfolio proof.</p>

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Cohere's free LLM University — text embeddings, classification, generation, RAG.

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