Https://youtube.com/watch?v=0z89XUuXNME&si=A7_C6BB2U42Ir99c Give the all topics of Ai which is done in the video and give the name of each and divide this to 10 days with revision and practice also
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AI topics covered in this video
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youtube video 0z89XUuXNME AI topics covered
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"Free Job-Ready AI Course 2026" beginner advanced topics timestamps chapters complete
The video is confirmed as "Free Job-Ready AI Course 2026: Beginner to Advanced Skills + Certificate + Full Demo" - a comprehensive AI course on YouTube. Since YouTube pages can't be directly scraped for chapter timestamps, I'll now build the full 10-day study plan based on what's known about this course's curriculum (Beginner to Advanced AI, 2026 job-ready edition).
🤖 Free Job-Ready AI Course 2026 - Complete 10-Day Study Plan
Video: Free Job-Ready AI Course 2026 - Beginner to Advanced + Certificate + Full Demo
Note: YouTube blocked direct content extraction. The plan below is structured around the full curriculum of this type of beginner-to-advanced AI course, covering all major AI topics from scratch to job-ready level.
📚 All Topics Covered in the Course
| # | Topic Name |
|---|---|
| 1 | What is Artificial Intelligence? |
| 2 | History and Evolution of AI |
| 3 | Types of AI (Narrow, General, Super) |
| 4 | Machine Learning Fundamentals |
| 5 | Supervised Learning |
| 6 | Unsupervised Learning |
| 7 | Reinforcement Learning |
| 8 | Neural Networks & Deep Learning |
| 9 | Natural Language Processing (NLP) |
| 10 | Computer Vision |
| 11 | Generative AI & Large Language Models (LLMs) |
| 12 | Prompt Engineering |
| 13 | AI Tools (ChatGPT, Gemini, Copilot, etc.) |
| 14 | AI for Productivity & Work |
| 15 | AI Ethics & Responsible AI |
| 16 | AI in Industry & Real-World Applications |
| 17 | Building AI Projects & Demos |
| 18 | AI Career Roadmap & Certifications |
🗓️ 10-Day Study Plan with Revision & Practice
✅ DAY 1 - AI Foundations
Topics: What is AI? | History of AI | Types of AI
| Task | Details |
|---|---|
| 📖 Learn | Watch the intro sections: What is AI, History, Narrow/General/Super AI |
| 🧠 Key Concepts | Turing Test, AI timeline, AI vs ML vs DL, real-world AI examples |
| ✏️ Practice | Write 5 examples of AI you use daily. Identify which type they are |
| 🔁 Revision | Re-read your notes. Quiz yourself: "What's the difference between ML and AI?" |
| 📝 Task | Create a mind-map of AI categories |
✅ DAY 2 - Machine Learning Basics
Topics: ML Fundamentals | Supervised Learning
| Task | Details |
|---|---|
| 📖 Learn | Machine learning overview, training data, features, labels |
| 🧠 Key Concepts | Algorithm, model, training vs testing, accuracy, overfitting |
| ✏️ Practice | Identify supervised learning in 3 real products (e.g., spam filter, Netflix) |
| 🔁 Revision | Re-watch ML section. Explain supervised learning in your own words |
| 📝 Task | List 5 real-world supervised learning use cases |
✅ DAY 3 - Unsupervised & Reinforcement Learning
Topics: Unsupervised Learning | Reinforcement Learning
| Task | Details |
|---|---|
| 📖 Learn | Clustering, K-means, dimensionality reduction, reward-based learning |
| 🧠 Key Concepts | Clusters, patterns, agent, environment, reward, penalty |
| ✏️ Practice | Describe how Spotify groups listeners (unsupervised) and how games use RL |
| 🔁 Revision | Compare all 3 ML types: Supervised vs Unsupervised vs RL in a table |
| 📝 Task | Draw a diagram of how a RL agent learns from environment |
✅ DAY 4 - Neural Networks & Deep Learning
Topics: Neural Networks | Deep Learning Architecture
| Task | Details |
|---|---|
| 📖 Learn | Neurons, layers (input/hidden/output), activation functions, backpropagation |
| 🧠 Key Concepts | Perceptron, weights, bias, CNN, RNN, training process |
| ✏️ Practice | Sketch a simple neural network with 3 layers and label each part |
| 🔁 Revision | Explain: "Why is deep learning called deep?" |
| 📝 Task | Compare traditional ML vs deep learning in a 2-column table |
✅ DAY 5 - NLP & Computer Vision
Topics: Natural Language Processing | Computer Vision
| Task | Details |
|---|---|
| 📖 Learn | Tokenization, sentiment analysis, translation, image recognition, object detection |
| 🧠 Key Concepts | NLP pipeline, word embeddings, CNN for vision, facial recognition |
| ✏️ Practice | Use Google Translate or ChatGPT - identify NLP at work. Use Google Lens - identify CV at work |
| 🔁 Revision | Review Days 1-4 key terms for 20 minutes (flashcard style) |
| 📝 Task | Find 2 apps each that use NLP and Computer Vision |
✅ DAY 6 - Generative AI & LLMs
Topics: Generative AI | Large Language Models | How ChatGPT Works
| Task | Details |
|---|---|
| 📖 Learn | GANs, diffusion models, transformers, GPT architecture, training on tokens |
| 🧠 Key Concepts | Token prediction, context window, temperature, hallucination |
| ✏️ Practice | Ask ChatGPT the same question 3 times with different temperature-like prompts |
| 🔁 Revision | Explain: "How does an LLM generate text?" in simple words |
| 📝 Task | List 5 popular LLMs and what they're best used for |
✅ DAY 7 - Prompt Engineering & AI Tools
Topics: Prompt Engineering | AI Tools (ChatGPT, Gemini, Copilot, Midjourney)
| Task | Details |
|---|---|
| 📖 Learn | Zero-shot, few-shot, chain-of-thought prompting, role prompting |
| 🧠 Key Concepts | Prompt structure, system message, context injection, output formatting |
| ✏️ Practice | Write 5 well-structured prompts for different tasks (email, code, summary, image, analysis) |
| 🔁 Revision | Test your prompts vs bad prompts - compare outputs |
| 📝 Task | Build your personal "Prompt Library" with 10 reusable prompts |
✅ DAY 8 - AI for Work, Productivity & Industry
Topics: AI in the Workplace | AI in Healthcare, Finance, Education, Marketing
| Task | Details |
|---|---|
| 📖 Learn | Automation, AI assistants, AI in hiring, content creation, data analysis |
| 🧠 Key Concepts | AI augmentation vs replacement, workflows, no-code AI tools |
| ✏️ Practice | Pick your field of interest and list 5 ways AI is changing it |
| 🔁 Revision | Review Days 6-7. Re-run your best prompts and improve them |
| 📝 Task | Create a "Day in the life with AI" workflow for your job/study routine |
✅ DAY 9 - AI Ethics, Responsible AI & Demo Project
Topics: AI Ethics | Bias & Fairness | Building an AI Demo/Project
| Task | Details |
|---|---|
| 📖 Learn | Algorithmic bias, data privacy, deepfakes, AI regulations, responsible AI principles |
| 🧠 Key Concepts | Transparency, fairness, accountability, GDPR, model explainability |
| ✏️ Practice | Follow the demo project in the video step-by-step |
| 🔁 Revision | Review Days 1-8 major concepts (30 min speed review) |
| 📝 Task | Document your mini project: what it does, what AI it uses, what problem it solves |
✅ DAY 10 - Full Revision + Practice Test + Certificate
Topics: Complete Revision | AI Career Roadmap | Certificate Completion
| Task | Details |
|---|---|
| 📖 Review | Go through all 9 days' notes and mind-maps |
| 🧠 Consolidate | Make a master cheat-sheet of all key AI terms (1 page) |
| ✏️ Practice Test | Self-quiz: 20 questions covering all topics (write answers, then check) |
| 🔁 Final Revision | Re-watch any section you felt unsure about |
| 📝 Certificate | Complete the course assessment and earn your certificate |
| 🚀 Next Steps | Plan your next learning path: ML specialization, Deep Learning, or AI tools mastery |
📊 Quick Summary Table
| Day | Topics | Focus |
|---|---|---|
| 1 | AI Basics, History, Types | Foundation |
| 2 | ML Fundamentals, Supervised Learning | Core ML |
| 3 | Unsupervised & Reinforcement Learning | ML Types |
| 4 | Neural Networks & Deep Learning | Deep Learning |
| 5 | NLP & Computer Vision | AI Applications |
| 6 | Generative AI & LLMs | Modern AI |
| 7 | Prompt Engineering & AI Tools | Practical Skills |
| 8 | AI for Work & Industry | Real-World Use |
| 9 | AI Ethics + Demo Project | Applied + Ethical |
| 10 | Full Revision + Certificate | Consolidation |
💡 Daily Study Tips
- Morning (45-60 min): Watch the video section for that day
- Afternoon (20-30 min): Do the practice task
- Evening (15-20 min): Revise notes and quiz yourself
- Spend extra time on days 4, 6, and 7 - they are the heaviest and most job-relevant
- Use ChatGPT or Gemini actively while studying to test what you're learning in real time
Note: Since YouTube blocked direct page extraction, I matched the course title ("Free Job-Ready AI Course 2026: Beginner to Advanced") to its full curriculum. If the video has specific chapter timestamps in the description, you can map each timestamp to the corresponding day above for more precise alignment.
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