<h2>About this course</h2>
<p>In this series, <strong>Harrison Kinsley</strong> from Sentdex walks you through building a neural network completely from scratch using pure Python—no <a href="/topics/tensorflow">TensorFlow</a>, <a href="/topics/pytorch">PyTorch</a>, or other frameworks. You'll see exactly how neurons, layers, and backpropagation work under the hood, transforming abstract math into working code. This is one of the most respected deep-learning foundations courses for anyone serious about understanding what's actually happening inside the models reshaping AI today.</p>

<h2>What you'll learn</h2>
<ul>
<li>Build a functional neural network from scratch using only NumPy and Python</li>
<li>Understand neurons, activation functions, and how data flows forward through layers</li>
<li>Implement backpropagation and gradient descent to train your network</li>
<li>Work with real datasets, preprocess data, and measure model performance</li>
<li>Debug and troubleshoot training issues by reading the code yourself</li>
<li>Recognize when and why to use <a href="/topics/neural-networks">neural networks</a> for different problems</li>
<li>Develop intuition for hyperparameters like learning rate and batch size</li>
</ul>

<h2>Who this is for</h2>
<p>You're a programmer who knows Python and wants to move beyond "plug and play" machine learning. You're curious about how <a href="/topics/deep-learning">deep learning</a> actually works, and you're willing to spend time on math and code to truly understand it. This course rewards that curiosity.</p>
<ul>
<li><strong>Software <a href="/for/developers">developers</a></strong> — gain the foundational knowledge to architect AI features in your applications without relying blindly on frameworks</li>
<li><strong>Data science <a href="/for/students">students</a> and early-career analysts</strong> — build credibility and depth before your first machine learning job interview</li>
<li><strong>AI enthusiasts and career-changers</strong> — prove to yourself (and employers) that you understand neural networks deeply, not just superficially</li>
</ul>

<h2>Prerequisites</h2>
<p>You should be comfortable writing Python code (loops, functions, arrays). A basic grasp of calculus and linear algebra helps, but the course teaches the relevant math as you go. You don't need prior machine learning or deep learning experience.</p>

<h2>Why this matters for Indian learners</h2>
<p>India's AI and machine learning job market is exploding—companies like Google, Amazon, and Flipkart are hiring ML engineers, AI <a href="/for/researchers">researchers</a>, and <a href="/for/data-scientists">data scientists</a> at scale. A deep understanding of neural networks sets you apart from candidates who only know high-level libraries. Many Indian tech startups and enterprises building recommendation systems, fraud detection, and <a href="/topics/nlp">NLP</a> products need engineers who can troubleshoot and optimize neural networks, not just call pre-built functions. This course gives you that competitive edge.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes—completely free. The entire series is hosted on YouTube at no cost. No hidden paywall, no "paid certificate" upsell required.</p>
<h3>How long will it take to complete?</h3>
<p>The course is about 15 hours of video. If you dedicate 3-4 hours per week, you can finish in 4–5 weeks. Factor in extra time to run the code yourself, experiment, and work through concepts—that's where the real learning happens.</p>
<h3>Will I get a certificate?</h3>
<p>No formal certificate is offered. However, you'll have a portfolio of working code—a neural network you built yourself—which carries far more weight with employers than any certificate.</p>

Sentdex

Harrison Kinsley's series building a neural network from scratch in pure Python — no frameworks.

Neural Networks from Scratch in Python

<h2>About this course</h2>
<p>Learn machine learning from the ground up with Sentdex's foundational tutorial series. This comprehensive course walks you through ML algorithms, Python's scikit-learn library, and real-world projects — all explained with clarity and practical focus. Sentdex is a respected name in Python education, known for breaking down complex concepts into digestible lessons.</p>

<h2>What you'll learn</h2>
<ul>
  <li>Core machine learning algorithms: regression, classification, clustering, and how to choose the right one for your problem</li>
  <li>How to use scikit-learn to build, train, and evaluate ML models in Python</li>
  <li>Data preprocessing: cleaning, scaling, and preparing real datasets for model training</li>
  <li>Feature engineering and selection techniques to improve model performance</li>
  <li>How to evaluate models using metrics like accuracy, precision, recall, and cross-validation</li>
  <li>Building practical ML projects from data loading through prediction and visualization</li>
  <li>Common pitfalls in machine learning and how to avoid them (overfitting, underfitting, data leaks)</li>
</ul>

<h2>Who this is for</h2>
<p>If you want to move beyond Python basics into machine learning without drowning in theory, this course is built for you. Whether you're starting your AI journey or adding ML skills to your toolkit, Sentdex's hands-on approach meets you where you are.</p>
<ul>
  <li><a href="/for/students">Students</a> — gain practical ML skills that set you apart in tech placements and early career roles</li>
  <li>Career changers — transition into AI/ML fields with a solid foundation in algorithms and tools used in real jobs</li>
</ul>

<h2>Prerequisites</h2>
<p>Basic Python knowledge is helpful—loops, functions, and data structures. If you're comfortable writing simple Python scripts, you're ready. No prior ML or math background required.</p>

<h2>Why this matters for Indian learners</h2>
<p>Machine learning skills are among the most sought-after in India's tech hiring landscape. Companies from startups to giants like TCS, Infosys, and Flipkart actively hire ML engineers, <a href="/for/data-scientists">data scientists</a>, and AI specialists. This course gives you the exact skills—scikit-learn, algorithms, project experience—that Indian tech teams expect, directly boosting your candidacy.</p>

<h2>Frequently asked questions</h2>
<h3>Is this course really free?</h3>
<p>Yes. The course is completely free. No hidden fees, no paid tier. You learn at no cost.</p>
<h3>How long will it take to complete?</h3>
<p>The course is roughly 20 hours of video content. If you dedicate 3–4 hours per week, you'll finish in 5–6 weeks. Go faster or slower—the course is yours to learn at your pace.</p>
<h3>Will I get a certificate?</h3>
<p>No formal certificate is issued. However, completing this course and building projects from it gives you real portfolio pieces to show employers—often more valuable than a certificate.</p>

Sentdex's classic Python ML tutorial series — algorithms, scikit-learn, projects.

Python Machine Learning Tutorial Series

Home — Nav

{context.providers.name}  — Free AI Courses

Provider Google — Header

{title}

Provider Google — Course Grid

Home — Footer

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

Google — Free AI Courses

India's free AI learning hub. 220+ free AI courses, workshops, and meetups from Google, Microsoft, NPTEL, MIT, Stanford, Hugging Face and more — curated for Indian learners with city chapters in 50 cities.

AI

AIshala

.

Sentdex — Free AI Courses

Neural Networks from Scratch in Python

Python Machine Learning Tutorial Series

AI

AIshala

.

Learn

Community

About

Languages

AI

AIshala

.

Sentdex — Free AI Courses

Neural Networks from Scratch in Python

Python Machine Learning Tutorial Series

AI

AIshala

.

Learn

Community

About

Languages