Free Generative AI Courses

Generative AI Full Course: Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
🆓 Free Video Course
⏰ Duration: 30 hrs
🏃‍♂️ Self Paced
📈 Difficulty: Beginner to Intermediate
👨‍🏫 Instructors: Krish Naik, Sunny Savita & Boktiar Ahmed Bappy via freeCodeCamp
🔗 Course Link

5-Day Gen AI Intensive Course with Google
🆓 Free Video + Hands-On Codelabs
⏰ Duration: 5-day structure
🏃‍♂️ Self Paced
📈 Difficulty: Beginner to Intermediate
👨‍🏫 Created by: Google & Kaggle
🔗 Course Link

Free GenAI 65-Hour Bootcamp
🆓 Free Video Course
⏰ Duration: 65 hrs
🏃‍♂️ Self Paced
📈 Difficulty: Beginner to Intermediate
👨‍🏫 Instructor: Andrew Brown (ExamPro) via freeCodeCamp
🔗 Course Link

Generative AI for Beginners
🆓 Free Video Course
⏰ Duration: Multi-hour
🏃‍♂️ Self Paced
📈 Difficulty: Beginner
👨‍🏫 Created by: Great Learning Academy
🔗 Course Link

Introduction to Generative AI
🆓 Free Video Course
⏰ Duration: 45 min
🏃‍♂️ Self Paced
📈 Difficulty: Beginner
👨‍🏫 Created by: Google Skills
🔗 Course Link

Generative AI for Beginners
📚 Text Course
⏰ Duration: 21 lessons
🏃‍♂️ Self Paced
📈 Difficulty: Beginner
👨‍🏫 Created by: Microsoft Cloud Advocates
🔗 Course Link

AI Capabilities and Limitations
🆓 Free Video Course
⏰ Duration: Self-paced
🏃‍♂️ Self Paced
📈 Difficulty: Beginner
👨‍🏫 Created by: Anthropic Academy
🔗 Course Link

Generative AI for Beginners
🆓 Free Video Course
⏰ Duration: 4 hrs
🏃‍♂️ Self Paced
📈 Difficulty: Beginner
👨‍🏫 Created by: Simplilearn
🔗 Course Link



Reading Materials

📖 Prompt Engineering Guide
📖 Awesome Generative AI (Curated Resource List)
📖 Generative AI: A Beginner's Guide
📖 Understanding Generative AI Capabilities
📖Stanford HAI: 2025 AI Index Report

Engaging with our posts can generate interest for others; even a small like could be the reason for someone else's success.

Foundations of Applied Mathematics is a free series of four textbooks created for the applied and computational mathematics program at Brigham Young University. 📚

The series includes four volumes:
*   Mathematical Analysis
*   Algorithms, Approximation, and Optimization
*   Uncertainty and Data
*   Dynamics and Control

The series is suitable for upper-level undergraduate and introductory graduate students. It also includes Python lab exercises and practical assignments, connecting mathematical theory with numerical computation, algorithms, data analysis, and scientific applications. 🐍

I particularly appreciate that these are not just theoretical textbooks. The accompanying Python materials help to illustrate how these concepts are applied to real-world computational problems. 💻

https://foundations-of-applied-mathematics.github.io

#Mathematics #Python #Education #DataScience #Algorithms #Learning

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Your AI helper right in your messenger — in 5 minutes, free

Amplify (UK) plugs an AI agent straight into your Telegram, WhatsApp, Slack, WeChat, or Discord. Not just a GPT chat — an assistant that reaches into the real world.

Handles it all: emails, reminders, spreadsheets, Telegram-channel digests, image and video generation, PDFs, Google Drive, Notion. Send it voice notes on the go — it gets everything.

Pricing: $10/mo + pay-as-you-go for the AI model, all costs transparent and tracked. Already have OpenAI subscription? Link it and skip paying for the model.

🎁 Promo code CODEPROGRAMMER2 → 2 months free + $10 credit. Bring someone in — another month free.

https://getamplify.team/