Neural networks power ChatGPT, self-driving cars—free courses make you job-ready in 90 days. Bengaluru AI hiring surges: TCS iON, Infosys AI labs seek neural net pros.
GANs and transformers visualized above—core to generative AI booming in 2026.
Top 12 Free Neural Network Courses
🎓 FOUNDATION (No Math Needed)
- fast.ai Practical Deep Learning
PyTorch neural nets (7 weeks, projects)
Enroll Free - Neural Networks & Deep Learning (DeepLearning.AI)
Andrew Ng basics (4 weeks, free audit)
Enroll Free - upGrad Deep Learning Neural Networks
ANN + backprop (free cert)
Enroll Free
🔥 YOUTUBE FULL COURSES (2026 Updated)
- Simplilearn Deep Learning Full Course
CNN/RNN/Transformers (10+ hours)
Watch Free - Edureka AI/ML Full Course
Neural nets + GANs (10 hours)
Watch Free - Simplilearn Generative AI Full Course
LLMs + agents (beginner)
Watch Free
📚 SPECIALIZATION & CERTS
- Coursera AI Courses (Audit Free)
100+ neural net options
Browse Free - 3Blue1Brown Neural Networks
Visual math (free videos)
Watch Free - Google Crash Course on ML
TensorFlow basics (15 hours)
Enroll Free
🇮🇳 INDIA & ADVANCED
- NPTEL Deep Learning (IIT)
CNN/RNN (12 weeks)
Enroll Free - Kaggle Intro to Deep Learning
Hands-on notebooks
Enroll Free
🎯 90-Day Neural Net Mastery Plan
text**Month 1: Basics (30 hrs)**
Neural Networks Deep Learning (Coursera, 20 hrs)
3Blue1Brown visuals (10 hrs)
**Month 2: Hands-On (50 hrs)**
fast.ai lessons 1-4 (40 hrs)
Kaggle Titanic NN
**Month 3: Projects (60 hrs)**
Image classifier + chatbot (50 hrs)
50 AI job apps
Portfolio Projects (Build These 3)
1. MNIST Digit Classifier (Week 4)
textTools: TensorFlow/Keras
Accuracy: 98%+
Colab notebook + GitHub
2. Sentiment Analyzer (Week 8)
textRNN/LSTM on IMDB reviews
Deploy: Streamlit
3. GAN Face Generator (Week 12)
textPyTorch DCGAN
Live demo + Hugging Face
Bengaluru AI Job Map 2026
text**₹30LPA+ Roles:**
• Infosys AI Engineer
• TCS Neural Net Specialist
**₹25LPA Mid:**
• Wipro Deep Learning
• Accenture ML Dev
**₹18LPA Freshers:**
• HCL AI Associate
Interview Cheat Sheet
textQ: "Explain backpropagation?"
A: "Gradient descent through chain rule: loss → weights update."
Q: "CNN vs RNN?"
A: "CNN: spatial (images); RNN: sequential (text/time)."
Q: "Overfitting fix?"
A: "Dropout, data aug, early stopping."
🚀 START ANDREW NG COURSE TONIGHT (Week 1 Done!)
May AI hiring peaks. MNIST project = entry ticket. PyTorch > TensorFlow for jobs!