| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Day 1 – Foundations | |||
| 1. Foundations How AI Systems Actually Work.en_US.srt | 12.2 KB | ||
| 1. Foundations How AI Systems Actually Work.mp4 | 109.1 MB | ||
| 10 - Day 10 – Automation & Workflows | |||
| 11 - Day 11 – Evaluating & Improving AI Systems | |||
| 12 - Day 12 – Deployment & Sharing | |||
| 13 - Day 13 – Capstone Build Day | |||
| 14 - Day 14 – Portfolio, Documentation & Next Steps | |||
| 2 - Day 2 – Environment Setup for AI Development | |||
| 3 - Day 3 – Working with APIs & LLMs | |||
| 10. Hands-On Lab Build a simple text-in → text-out app.html | 10.4 KB | ||
| 11. Build a simple text-in → text-out app (Description).en_US.srt | 9.1 KB | ||
| 11. Build a simple text-in → text-out app (Description).mp4 | 75.3 MB | ||
| 12. CLI-based AI assistant script.html | 8.5 KB | ||
| 4 - Day 4 – Prompt Engineering That Actually Works | |||
| 13. Prompt Engineering That Actually Works.en_US.srt | 9.4 KB | ||
| 13. Prompt Engineering That Actually Works.mp4 | 78.3 MB | ||
| 14. Hands-On Lab Turn a weak prompt into a robust prompt & Build prompt templates.html | 12.2 KB | ||
| 15. Turn a weak prompt into a robust prompt & Build prompt templates (Description).en_US.srt | 9.2 KB | ||
| 15. Turn a weak prompt into a robust prompt & Build prompt templates (Description).mp4 | 83 MB | ||
| 16. Prompt library (reusable templates).html | 12.1 KB | ||
| 5 - Day 5 – Structured Outputs & JSON Responses | |||
| 17. Structured Outputs & JSON Responses.en_US.srt | 8.2 KB | ||
| 17. Structured Outputs & JSON Responses.mp4 | 73.9 MB | ||
| 18. Hands-On Lab Force AI to return structured JSON & Parse AI outputs in code.html | 13.2 KB | ||
| 19. Force AI to return structured JSON & Parse AI outputs in code (Description).en_US.srt | 6.1 KB | ||
| 19. Force AI to return structured JSON & Parse AI outputs in code (Description).mp4 | 63.8 MB | ||
| 20. AI function returning validated JSON data.html | 9.5 KB | ||
| 6 - Day 6 – Working with Documents (RAG Basics) | |||
| 21. Working with Documents (RAG Basics).en_US.srt | 7.7 KB | ||
| 21. Working with Documents (RAG Basics).mp4 | 71.1 MB | ||
| 22. Hands-On Lab Load documents; Embed them; Ask questions over your own data.html | 16.9 KB | ||
| 23. Load documents; Embed them; Ask questions over your own data (Description).en_US.srt | 7.1 KB | ||
| 23. Load documents; Embed them; Ask questions over your own data (Description).mp4 | 62.7 MB | ||
| 24. Document-aware AI assistant.html | 9.7 KB | ||
| 7 - Day 7 – Building a Simple AI Web App | |||
| 25. Building a Simple AI Web App.en_US.srt | 7.7 KB | ||
| 25. Building a Simple AI Web App.mp4 | 69.7 MB | ||
| 26. Hands-On Lab Build a simple web UI; Connect it to their AI backend.html | 12.4 KB | ||
| 27. Build a simple web UI; Connect it to their AI backend (Description).en_US.srt | 6.4 KB | ||
| 27. Build a simple web UI; Connect it to their AI backend (Description).mp4 | 45.6 MB | ||
| 28. Working AI web app (local).html | 10.6 KB | ||
| 8 - Day 8 – Memory & State in AI Apps | |||
| 29. Memory & State in AI Apps.en_US.srt | 7.1 KB | ||
| 29. Memory & State in AI Apps.mp4 | 66.6 MB | ||
| 30. Hands-On Lab Add conversation memory; Persist user sessions.html | 15.1 KB | ||
| 31. Add conversation memory; Persist user sessions (Description).en_US.srt | 6.9 KB | ||
| 31. Add conversation memory; Persist user sessions (Description).mp4 | 61.4 MB | ||
| 32. Multi-turn conversational AI app.html | 15.5 KB | ||
| 9 - Day 9 – AI Agents From Chatbots to Doers | |||
| 33. AI Agents From Chatbots to Doers.en_US.srt | 6.6 KB | ||
| 33. AI Agents From Chatbots to Doers.mp4 | 60.6 MB | ||
| 34. Hands-On Lab Build a task-executing AI agent ; Give it tools.html | 19.5 KB | ||
| 35. Build a task-executing AI agent ; Give it tools (Description).en_US.srt | 7.3 KB | ||
| 35. Build a task-executing AI agent ; Give it tools (Description).mp4 | 64.5 MB | ||
| 36. AI agent that completes real tasks.html | 15.2 KB | ||
| 9. Working with APIs & LLMs.en_US.srt | 10.7 KB | ||
| 9. Working with APIs & LLMs.mp4 | 93.7 MB | ||
| 5. Environment Setup for AI Development.en_US.srt | 12 KB | ||
| 5. Environment Setup for AI Development.mp4 | 93.2 MB | ||
| 6. Hands-On Lab Structure a clean AI project repo.html | 10.2 KB | ||
| 7. Structure a clean AI project repo (Description).en_US.srt | 9.3 KB | ||
| 7. Structure a clean AI project repo (Description).mp4 | 53.7 MB | ||
| 8. Working AI dev environment + GitHub repo initialized.html | 8.7 KB | ||
| 53. Portfolio, Documentation & Next Steps.en_US.srt | 11.3 KB | ||
| 53. Portfolio, Documentation & Next Steps.mp4 | 78.1 MB | ||
| 54. Hands-On Lab Write project documentation; Record demo; Polish GitHub repo.html | 11.4 KB | ||
| 55. Write project documentation; Record demo; Polish GitHub repo (Description).en_US.srt | 9.1 KB | ||
| 55. Write project documentation; Record demo; Polish GitHub repo (Description).mp4 | 71.9 MB | ||
| 56. Portfolio-ready AI project + demo.html | 9.8 KB | ||
| 49. Capstone Build Day.en_US.srt | 7.2 KB | ||
| 49. Capstone Build Day.mp4 | 72.7 MB | ||
| 50. Hands-On Lab Build a full AI product of their choice.html | 14.6 KB | ||
| 51. Build a full AI product of their choice (Description).en_US.srt | 8.9 KB | ||
| 51. Build a full AI product of their choice (Description).mp4 | 78.5 MB | ||
| 52. Final AI product.html | 19.2 KB | ||
| 45. Deployment & Sharing.en_US.srt | 12.2 KB | ||
| 45. Deployment & Sharing.mp4 | 78 MB | ||
| 46. Hands-On Lab Deploy AI app to the cloud; Share a public URL.html | 10.1 KB | ||
| 47. Deploy AI app to the cloud; Share a public URL (Description).en_US.srt | 8.8 KB | ||
| 47. Deploy AI app to the cloud; Share a public URL (Description).mp4 | 75.4 MB | ||
| 48. Live AI application.html | 8 KB | ||
| 41. Evaluating & Improving AI Systems.mp4 | 74.6 MB | ||
| 42. Hands-On Lab Create test cases for AI responses; Add safety checks.html | 17.7 KB | ||
| 43. Create test cases for AI responses; Add safety checks (Description).en_US.srt | 921.6 B | ||
| 43. Create test cases for AI responses; Add safety checks (Description).mp4 | 2.4 MB | ||
| 44. Evaluated and hardened AI system.html | 7.5 KB | ||
| 37. Automation & Workflows.en_US.srt | 7.9 KB | ||
| 37. Automation & Workflows.mp4 | 73.7 MB | ||
| 38. Hands-On Lab Build a multi-step AI workflow; Automate a real use case.html | 14.9 KB | ||
| 39. Build a multi-step AI workflow; Automate a real use case (Description).en_US.srt | 9.9 KB | ||
| 39. Build a multi-step AI workflow; Automate a real use case (Description).mp4 | 89.7 MB | ||
| 40. End-to-end AI workflow.html | 10 KB | ||
| 2. Hands-On Lab Map a real-world problem into an AI system diagram.html | 11.8 KB | ||
| 3. Map a real-world problem into an AI system diagram (Description).en_US.srt | 6.4 KB | ||
| 3. Map a real-world problem into an AI system diagram (Description).mp4 | 57.9 MB | ||
| 4. One-page AI system blueprint.html | 9 KB |
14 Days to Building AI Systems & Agents
https://WebToolTip.com
Published 2/2026
Created by School of AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 56 Lectures ( 4h 33m ) | Size: 1.93 GB
Learn modern AI development by building agents, workflows, and real AI applications.
What you'll learn
✓ Design and architect end-to-end AI systems, including UI, backend logic, memory, tools, and automation workflows.
✓ Build and deploy AI agents that can reason, execute actions, and integrate with external tools and APIs.
✓ Implement structured outputs, validation guardrails, and safety checks to make AI systems reliable and production-ready.
✓ Develop stateful AI applications with multi-turn memory and persistent session handling.
✓ Create and automate multi-step AI workflows that chain reasoning, extraction, decision logic, and action execution.
✓ Deploy AI applications securely to the cloud using environment variables and production best practices.
✓ Document, , and package AI projects into portfolio-ready assets suitable for job applications or client work.
✓ Apply prompt engineering, evaluation strategies, and regression testing to improve AI system performance over time.
Requirements
● Basic familiarity with Python (variables, functions, and installing packages with pip).
● Basic familiarity with Python (variables, functions, and installing packages with pip).
● Ability to run commands in a terminal (basic command-line usage).
● Ability to run commands in a terminal (basic command-line usage).
● An internet connection for accessing AI APIs and cloud deployment platforms.
● An internet connection for accessing AI APIs and cloud deployment platforms.
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