Udemy - Mastering Claude AI - Build AI Apps, Agents and MCP Systems

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Udemy - Mastering Claude AI - Build AI Apps, Agents and MCP Systems (Size: 3.6 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Introduction to AI and Claude
  1. Understanding Artificial Intelligence.mp4 94.5 MB
  10 - AI Agents and Agent Skills
  11 - Advanced AI Systems Architecture
  12 - Real World AI Projects
  13 - Future of AI Systems
  2 - Claude Fundamentals
  3 - Claude for Productivity
  10. Research and Knowledge Work.mp4 53.4 MB
  11. Business and Strategy Support.mp4 52.5 MB
  12. AI-powered Personal Workflows.mp4 66.7 MB
  4 - AI Fluency Framework
  13. Human-AI Collaboration Models.mp4 56.5 MB
  14. AI Thinking Framework.mp4 52.4 MB
  15. AI Systems Literacy.mp4 61.7 MB
  16. AI Ethics and Governance.mp4 83.3 MB
  5 - Claude for Learning and Education
  17. AI for Students.mp4 51.8 MB
  18. AI for Educators.mp4 58.4 MB
  19. Designing AI-powered Learning.mp4 54.7 MB
  20. Academic Integrity and AI.mp4 60.2 MB
  6 - Introduction to Claude API
  21. Understanding the Claude API.mp4 52.7 MB
  22. API Setup and Configuration.mp4 69.9 MB
  23. Making Your First API Requests.mp4 49.8 MB
  24. Structured AI Outputs.mp4 58.5 MB
  7 - Building AI Applications with Claude
  25. Designing AI Applications.mp4 55.1 MB
  26. Prompt Engineering for Applications.mp4 80.4 MB
  27. Real-Time AI Applications.mp4 75.6 MB
  28. Deploying AI Applications.mp4 59.4 MB
  8 - Claude Code for Developers
  29. Introduction to Claude Code.mp4 66.6 MB
  30. Development Environment Setup.mp4 68.7 MB
  31. AI-assisted Coding.mp4 66.9 MB
  32. Code Refactoring and Optimization.mp4 69.8 MB
  33. Automated Testing with AI.mp4 67.2 MB
  9 - Model Context Protocol (MCP)
  34. Understanding MCP.mp4 71.4 MB
  35. MCP Servers.mp4 70 MB
  36. MCP Clients.mp4 75.3 MB
  37. Managing Context.mp4 92.5 MB
  38. MCP Security.mp4 87.9 MB
  9. Writing and Content Creation.mp4 61 MB
  5. Navigating the Claude Interface.mp4 56.3 MB
  6. Writing Effective Prompts.mp4 60.6 MB
  7. Structured Prompting Techniques.mp4 56.5 MB
  8. Responsible AI Usage.mp4 60.6 MB
  51. AI-native Organizations.mp4 71.6 MB
  52. AI Governance.mp4 87.3 MB
  53. Emerging AI Technologies.mp4 72.5 MB
  54. Becoming an AI Systems Builder.mp4 76.6 MB
  47. AI Productivity Assistant.mp4 85.8 MB
  48. AI Coding Assistant.mp4 64.5 MB
  49. Knowledge Management AI.mp4 61.8 MB
  50. Autonomous AI Agent.mp4 73.3 MB
  43. Designing AI Systems.mp4 74.9 MB
  44. Context and Memory Systems.mp4 72.3 MB
  45. Observability and Monitoring.mp4 65.6 MB
  46. Cost Optimization.mp4 73.6 MB
  39. Understanding AI Agents.mp4 75.8 MB
  40. Agent Skills.mp4 86.3 MB
  41. Building Agent Skills.mp4 87.8 MB
  42. Multi-Agent Systems.mp4 60.8 MB
  2. Large Language Models.mp4 82.8 MB
  3. Introduction to Claude.mp4 77.7 MB
  4. The Future of AI Work.mp4 83.5 MB

Description


Mastering Claude AI: Build AI Apps, Agents & MCP Systems

https://WebToolTip.com

Published 3/2026
Created by Data Science Academy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 54 Lectures ( 11h 45m ) | Size: 3.63 GB

Complete Guide to Claude, Prompt Engineering, Claude API, AI Agents, MCP (Model Context Protocol), AI Applications, and

What you'll learn
✓ Understand how Artificial Intelligence, Large Language Models (LLMs), and Claude AI work and how they are used in modern applications
✓ Master prompt engineering techniques to generate reliable, structured, and high-quality outputs from AI systems
✓ Use Claude AI for productivity, research, writing, and decision-making workflows
✓ Build AI-powered applications using the Claude API, including chat assistants and knowledge tools
✓ Develop AI agents and multi-agent systems that can automate complex tasks and workflows
✓ Implement Model Context Protocol (MCP) to connect AI systems with tools, services, and data sources
✓ Design scalable AI architectures including memory systems, context management, monitoring, and observability
✓ Optimize AI system performance, cost, and reliability for real-world deployment
✓ Build real-world projects such as AI productivity assistants, AI coding assistants, and knowledge management systems
✓ Understand AI governance, ethics, and responsible AI development practices

Requirements
● No prior experience with Claude AI or Large Language Models is required — this course starts from the fundamentals
● Basic computer skills such as using a web browser and installing software
● Basic familiarity with programming concepts is helpful for the developer sections, but not required for the AI fundamentals and productivity modules
● A computer (Windows, Mac, or Linux) with an internet connection
● A Claude account or access to Claude AI (free or paid tier) for hands-on exercises
● Willingness to experiment, build projects, and explore AI tools

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