FREE AI LEARNING PATHS

🚀 FREE GOOGLE AI LEARNING PATH

Build real-world AI knowledge — no experience required

Whether you’re just getting started or sharpening your AI fundamentals, these free, Google‑backed courses will give you a strong foundation across cloud, machine learning, and responsible AI.

☁️ 1. Introduction to the Cloud

Why the cloud powers modern AI

Learn what cloud computing is and why it’s essential for AI, scalability, and innovation. 🔗 https://lnkd.in/eU6icWR3

✍️ 2. Prompt Design in Vertex AI

Get better results from Gemini & AI models

Master prompt engineering techniques and learn how to communicate effectively with AI. 🔗 https://lnkd.in/eAaG_iHb

🧠 3. Google AI Essentials (Coursera)

Work smarter with AI

Use AI to brainstorm ideas, write faster, and boost productivity — no technical background needed.🔗 https://lnkd.in/eJYGt2Xa

🤖 4. What Is Generative AI?

A beginner-friendly introduction

Google’s free, certified course explains generative AI in simple terms — no coding required. 🔗 https://lnkd.in/eqqa37dV

📊 5. Introduction to Machine Learning

Turn data into predictions

Explore how machines learn from data and understand the ethical considerations behind ML. 🔗 https://lnkd.in/eHpGkmrx

🧩 6. Introduction to Large Language Models (LLMs)

How tools like ChatGPT actually work

Learn what LLMs are, how they’re trained, and why they’re transforming industries. ✅ Google’s FREE certified course🔗 https://lnkd.in/enNnyxwU

🛡️ 7. Applying AI Principles with Google Cloud

Responsible AI in action

See how Google designs and deploys AI systems responsibly at scale. 🔗 https://lnkd.in/eRU7xB_t

💻 8. Basics of Code

Programming fundamentals made simple

A beginner-friendly introduction to coding, logic, and problem-solving. 👉 https://lnkd.in/eUd_XEcf

🌐 9. Cloud Computing Foundations

Cloud, big data, and ML — together

Understand how cloud infrastructure supports data analytics and machine learning workloads. 🔗 https://lnkd.in/ebVfPdrD

⚖️ 10. Introduction to Responsible AI

Build AI that’s fair, safe, and inclusive

Learn the principles behind ethical AI design and deployment. 🔗 https://lnkd.in/e4EC8xNJ

🔵 Free Microsoft AI Learning Path

Master AI with Microsoft Learn & Azure — all free

🎓 1. Career Essentials in Generative AI

Understand generative AI models & ethics Learn the foundations of generative AI, its real-world impact, and responsible practices. 🔗 https://lnkd.in/g8mHWnW2

⚡ 2. Generative AI Productivity Skills

Boost efficiency with Copilot & prompt design Discover how to use AI to streamline workflows, analyze data, and communicate smarter. 🔗 https://lnkd.in/g8VJ25db

🧠 3. Artificial Intelligence for Beginners

Hands-on 12-week curriculum Covers NLP, neural networks, and core AI concepts with labs and quizzes. 🔗 https://lnkd.in/gFHdjnd2

🏢 4. Transform Your Business with Microsoft AI

AI strategy for leaders Learn how to plan, scale, and integrate AI into business operations. 🔗 https://lnkd.in/gAM_Us-7

👔 5. AI for Managers

Responsible AI in management Apply AI insights to coaching, decision-making, and organizational leadership. 🔗 https://lnkd.in/g37fxxh6

🌐 6. Using Azure OpenAI Service

Work with GPT-4 & Copilot Learn prompt engineering and how to deploy language models with Azure. 🔗 https://lnkd.in/g2pifdJS

🤖 7. Build AI Apps with Azure & Power Virtual Agents

Create AI-powered applications Fine-tune models and build intelligent apps using Microsoft’s AI stack. 🔗 https://lnkd.in/gcYiFHsU

🧩 8. Create Custom Machine Learning Models

Train & run ML models with your data Leverage Microsoft Learn resources to build tailored AI solutions. 🔗 https://lnkd.in/gtbyqNq8

📊 9. Microsoft Azure AI Fundamentals (AI-900)

Certified entry-level course Learn basics of ML, computer vision, NLP, and Azure AI services. 🔗 https://learn.microsoft.com/en-us/training/paths/azure-ai-fundamentals/

✍️ 10. Explore Generative AI with Microsoft

LLMs, text generation & prompt engineering Understand how generative AI works and apply it to writing, coding, and automation. 🔗 https://learn.microsoft.com/en-us/training/paths/explore-generative-ai-microsoft/

✅ Highlights:

• All courses are free and many are certified.
• Beginner-friendly but also cover advanced topics like LLMs, Copilot, and Azure AI.
• Practical, project-based learning with hands-on labs.

Free AI Courses (Powered by NVIDIA)

1. Generative AI Explained

What you’ll learn:

• How generative models create new content
• Real-world GenAI applications across industries
• Opportunities and limitations of modern GenAI Course: https://bit.ly/3YBNsCB

2. AI for All: From Basics to GenAI Practice

What you’ll learn:

• How AI powers healthcare, transportation, and other sectors
• Core concepts: machine learning, neural networks, generative systems
• How GenAI creates text, images, and audio Course: https://bit.ly/44ydVVk

3. Getting Started with AI on Jetson Nano

What you’ll learn:

• Setting up Jetson Nano hardware for AI development
• Collecting, labeling, and preparing image datasets
• Training and deploying simple computer vision models locally Course: https://bit.ly/3MJb060

4. Building a Brain in 10 Minutes

What you’ll learn:

• How neurons and weights form the foundation of AI
• How neural networks learn from data
• Intuition for how deep learning models operate Course: https://bit.ly/4oZEI4d

5. Building Video AI Applications at the Edge (Jetson Nano)

What you’ll learn:

• Building DeepStream pipelines for real-time video analytics
• Running multiple video streams simultaneously
• Using YOLO and similar models for object detection Course: https://bit.ly/49lr0Uo

6. Building RAG Agents with LLMs

What you’ll learn:

• Retrieval-augmented generation (RAG) workflows
• Combining LLMs with your own knowledge sources
• Building agentic behavior using LangChain-style patterns Course: https://bit.ly/3KRDSIL

7. Accelerate Data Science Workflows with Zero Code Changes

What you’ll learn:

• Speeding up data processing with GPU acceleration
• Keeping existing Python/pandas workflows intact
• Improving ML training and inference without refactoring Course: https://bit.ly/49m0Oco

8. AI Infrastructure & Operations Fundamentals

What you’ll learn:

• How modern AI systems are deployed and scaled
• Core concepts in compute, storage, and networking
• The infrastructure behind real-world AI workloads Course: https://bit.ly/48OjAcl

9. Rapid Application Development with Large Language Models

What you’ll learn:

• Finding and experimenting with pretrained models (HuggingFace)
• Working with encoder and decoder models for NLP tasks
• Using LangChain to orchestrate pipelines and agentic workflows Course: https://bit.ly/4qaUD0u