<h2>About this course</h2>
<p>This free introduction to <a href="/topics/generative-ai">generative AI</a> by Analytics Vidhya breaks down the technologies reshaping industries worldwide — from <a href="/topics/llm">large language models</a> (LLMs) that power ChatGPT to <a href="/topics/diffusion-models">diffusion models</a> that generate images. You'll explore <a href="/topics/prompt-engineering">prompt engineering</a> fundamentals and see real applications of generative AI, all in just 3 hours. Analytics Vidhya is India's trusted platform for data science and AI education, backed by years of rigorous, community-vetted content.</p>

<h2>What you'll learn</h2>
<ul>
  <li>Understand what large language models (LLMs) are, how they work, and why they've become so powerful</li>
  <li>Learn diffusion model fundamentals — the technology behind AI image generators like DALL-E and Stable Diffusion</li>
  <li>Master prompt engineering basics: how to write clear, effective prompts to get better outputs from AI tools</li>
  <li>Explore practical applications of generative AI across content creation, customer service, coding, and analytics</li>
  <li>Recognize common limitations and ethical considerations when working with generative AI systems</li>
  <li>Gain hands-on familiarity with how to interact with AI tools effectively and responsibly</li>
</ul>

<h2>Who this is for</h2>
<p>You're a good fit for this course if you've heard about generative AI but haven't dug into the mechanics yet, or if you want to understand these tools before using them at work. No prior AI or machine learning experience needed — this is purely beginner-friendly.</p>
<ul>
  <li><strong><a href="/for/students">Students</a></strong> — build AI literacy early and stand out in campus placements or graduate internships where AI familiarity matters</li>
  <li><strong>Career switchers and job hunters</strong> — gain practical, current knowledge to strengthen your resume when applying to tech, marketing, or analytics roles</li>
  <li><strong><a href="/for/working-professionals">Working professionals</a></strong> — stay current with the AI wave reshaping your industry and learn how to incorporate these tools into your daily work</li>
</ul>

<h2>Prerequisites</h2>
<p>None — this course is completely beginner-friendly. You don't need a coding background, math skills, or prior AI knowledge.</p>

<h2>Why this matters for Indian learners</h2>
<p>Generative AI is no longer optional in India's job market. Companies across Bengaluru, Hyderabad, Mumbai, and Pune — from startups to giants like TCS, Infosys, and Flipkart — are hiring for AI-adjacent roles and expecting employees to understand these tools. Indian tech salaries for AI-aware professionals are rising, and being conversant in LLMs and prompt engineering can accelerate your career trajectory.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes — completely free. Analytics Vidhya offers this as part of their mission to democratize AI education in India. You can take the course and earn a certificate at no cost.</p>
<h3>How long will it take to complete?</h3>
<p>The course is designed for 3 hours of learning. You can spread this across a week (30 minutes a day) or finish it in one weekend, depending on your pace and how much you pause to experiment with examples.</p>
<h3>Will I get a certificate?</h3>
<p>Yes — Analytics Vidhya will provide a certificate upon completion, which you can add to your LinkedIn or resume to show potential employers and colleagues that you've mastered the basics of generative AI.</p>

India's leading data science community with free courses.

Analytics Vidhya

Analytics Vidhya's free intro to GenAI — LLMs, diffusion, prompt engineering, applications.

Introduction to Generative AI

<h2>About this course</h2>
<p>This free course from Analytics Vidhya teaches you Python fundamentals for data science, starting with core concepts like variables and progressing to powerful libraries like NumPy and Pandas. Python has become the go-to language for data work in India and globally, and Analytics Vidhya — one of India's most trusted platforms for data science education — breaks it down in a way that actually sticks.</p>

<h2>What you'll learn</h2>
<ul>
  <li>Master Python variables, data types, and control flow to write your first programs</li>
  <li>Work with NumPy arrays for fast, efficient numerical computing</li>
  <li>Load, clean, and manipulate real data using Pandas DataFrames</li>
  <li>Create charts and visualizations to tell stories with data</li>
  <li>Apply Python skills to solve small real-world data problems</li>
  <li>Build confidence to move into data analytics or machine learning</li>
</ul>

<h2>Who this is for</h2>
<p>If you're curious about data science but never coded before, this course meets you where you are. You don't need a background in math or programming — just a willingness to learn by doing.</p>
<ul>
  <li><strong>Career switchers</strong> — gain the Python foundation needed to pivot into data roles at Indian tech companies or startups</li>
  <li><strong><a href="/for/students">Students</a></strong> — build hands-on AI and data skills that complement your degree and stand out in campus placements</li>
</ul>

<h2>Prerequisites</h2>
<p>None — this course is beginner-friendly and assumes no prior coding experience.</p>

<h2>Why this matters for Indian learners</h2>
<p>Data skills are opening doors across India right now. Companies like TCS, Infosys, Flipkart, and dozens of startups are hiring for data analyst and data scientist roles, often with starting salaries between ₹4–6 lakh per year for entry-level positions. Python isn't just a nice-to-have anymore — it's table stakes. This course gives you a real, free way to get there without paying ₹20,000+ for bootcamps or institutes.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes, completely free. Analytics Vidhya offers this as a public resource to build the data science community in India.</p>
<h3>How long will it take to complete?</h3>
<p>The course is designed for about 8 hours of learning. If you pace it at 1–2 hours per week alongside work or studies, you could finish in 4–8 weeks without feeling rushed.</p>
<h3>Will I get a certificate?</h3>
<p>Yes, you'll receive a certificate upon completion that you can add to your LinkedIn or resume.</p>

Analytics Vidhya's free Python course for data science — variables, NumPy, Pandas, visualization.

Introduction to Python

<h2>About this course</h2>
<p>This hands-on course from <strong>Analytics Vidhya</strong>—India's trusted data science platform—teaches you how to build practical applications using <a href="/topics/llm">Large Language Models</a> (LLMs). Rather than abstract theory, you'll work directly with LLMs to understand their strengths, limitations, and real-world applications.</p>
<p>LLMs have become central to modern AI work: from automating customer service to powering analytics tools. Learning to harness them effectively is no longer optional—it's a competitive advantage in tech, content, and data roles across India.</p>

<h2>What you'll learn</h2>
<ul>
  <li>How LLMs work at a conceptual level and why they behave the way they do</li>
  <li>Hands-on techniques for prompting LLMs effectively to get better outputs</li>
  <li>How to integrate LLMs into small projects and workflows</li>
  <li>Common pitfalls and best practices when working with LLM APIs</li>
  <li><a href="/topics/fine-tuning">Fine-tuning</a> basics: when and how to adapt LLMs to your specific needs</li>
  <li>Building and deploying LLM-powered applications from scratch</li>
  <li>Practical cost and performance considerations for production use</li>
</ul>

<h2>Who this is for</h2>
<p>You'll get the most from this course if you're curious about AI and want to move beyond hype into hands-on building. You don't need to be a researcher or mathematician—just bring a willingness to experiment.</p>
<ul>
  <li><strong>Data professionals and analysts</strong>—strengthen your AI toolkit and prepare for roles that increasingly demand LLM experience</li>
  <li><strong>Software engineers and <a href="/for/developers">developers</a></strong>—learn practical patterns for integrating AI into applications without reinventing the wheel</li>
</ul>

<h2>Prerequisites</h2>
<p>Basic familiarity with Python is helpful but not required. No prior AI or machine learning background needed. If you've written any code before or worked with data, you're ready to start.</p>

<h2>Why this matters for Indian learners</h2>
<p>India's tech sector is rapidly adopting AI—from startups building LLM applications to established companies like Infosys, TCS, and HCL integrating AI into their offerings. Learning to work with LLMs now positions you for roles in AI-first teams, whether as a developer, analyst, or AI specialist.</p>
<p>Globally, LLM skills command premium salaries. In India, as demand grows faster than supply, early adopters gain disproportionate advantage in hiring and salary negotiations. This course is designed for Indian learners working with real-world constraints: slower internet, regional languages, and cost sensitivity—all of which the instructor addresses directly.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes, completely free. Analytics Vidhya offers this course with no hidden charges or required upgrades. You can learn everything without spending a rupee.</p>
<h3>How long will it take to complete?</h3>
<p>The course is structured as 4 hours of content. Depending on how deeply you experiment with hands-on exercises, plan for 6–8 hours total over 1–2 weeks. You can move faster or slower based on your schedule.</p>
<h3>Will I get a certificate?</h3>
<p>Yes. Analytics Vidhya issues a certificate of completion once you finish the course and any associated assessments. You can add it to your LinkedIn and resume to signal your LLM readiness to employers.</p>

Analytics Vidhya's free hands-on course on building with LLMs.

Getting Started with LLMs

<h2>About this course</h2>
<p>Mathematics for Machine Learning teaches you the essential mathematical foundations that power every ML algorithm—linear algebra, calculus, probability, and statistics. Whether you're building models, understanding how they work, or debugging their behavior, this course gives you the conceptual clarity Analytics Vidhya is trusted for across India's data science community.</p>

<h2>What you'll learn</h2>
<ul>
<li>Master linear algebra concepts—vectors, matrices, eigenvalues, and decompositions—and see how they underpin <a href="/topics/neural-networks">neural networks</a> and dimensionality reduction</li>
<li>Understand calculus derivatives and gradients so you can grasp how models learn during training</li>
<li>Apply probability theory to model uncertainty and make sense of Bayesian approaches</li>
<li>Build statistical intuition—hypothesis testing, distributions, and inference—critical for validating model performance</li>
<li>Connect math theory to practical ML problems through real examples and code walkthroughs</li>
<li>Gain the confidence to read research papers and advanced ML documentation without getting lost in notation</li>
<li>Develop debugging skills by understanding why a model behaves the way it does, not just what it predicts</li>
</ul>

<h2>Who this is for</h2>
<p>If you're serious about machine learning—whether you're preparing for an ML role, upskilling in your current job, or moving into AI from another field—this course closes the gap between "I can run a model" and "I understand why it works."</p>
<ul>
<li>Career switchers and self-taught data enthusiasts — get the mathematical rigor that employers expect without a formal degree</li>
<li><a href="/for/working-professionals">Working professionals</a> in tech and analytics — refresh your foundations and speak credibly with ML engineers and <a href="/for/data-scientists">data scientists</a> on your team</li>
</ul>

<h2>Prerequisites</h2>
<p>Comfort with basic algebra and graphs. The course assumes you've worked with numbers before, but not advanced math. If you've completed a beginner Python course or spent time with spreadsheets, you're ready.</p>

<h2>Why this matters for Indian learners</h2>
<p>India's AI and data science job market is competitive, and hiring <a href="/for/managers">managers</a> increasingly expect solid math foundations—not just notebook scripting. Companies like Flipkart, Amazon India, and GISPL rely on teams with this skill set, and salaries for ML roles with strong fundamentals are 30–50% higher than those without them. This course is your edge in interviews, promotions, and building systems that actually scale.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes—completely free. No hidden fees, no paywall. Analytics Vidhya offers this as a public good for learners in India and globally.</p>
<h3>How long will it take to complete?</h3>
<p>The course is designed for 15 hours of engagement. Spread it across 4–6 weeks at 2–3 hours per week, or move faster if you're full-time learning. The math is dense, so go at a pace where concepts stick.</p>
<h3>Will I get a certificate?</h3>
<p>Yes. Upon completion, you'll earn a certificate from Analytics Vidhya to showcase on your LinkedIn or resume.</p>

Linear algebra, calculus, probability, and statistics — the math foundations of ML.

Mathematics for Machine Learning

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

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