Description
“Mastering Claude AI: Build AI Apps, Agents & MCP Systems” is a course—published by the online academy Udemy—focused on building intelligent applications using autonomous AI agents and integrated systems, utilizing modern AI development techniques. The course explores how to leverage Claude’s capabilities to create AI-driven solutions, automate complex tasks, and connect language models to external tools and data sources. You will learn how to design effective prompts, develop agent-based workflows, and utilize the Model Context Protocol (MCP) to enable AI applications to interact with external services and resources. Through practical concepts and real-world use cases, you will gain insights into building AI applications that go beyond simple conversations, supporting advanced automation and complex problem-solving. You will also develop an understanding of how AI, Large Language Models (LLMs), and Claude AI function and how they are applied within modern software.
You will master prompt engineering techniques to generate reliable, structured, and high-quality outputs from AI systems, and learn to apply Claude AI to workflows involving productivity, research, writing, and decision-making. You will build AI-powered applications—such as chat assistants and knowledge-based tools—using the Claude API. Furthermore, you will construct AI agents and multi-agent systems capable of automating complex tasks and workflows, and implement the Model Context Protocol (MCP) to connect AI systems to various tools, services, and data sources. You will design scalable AI architectures—encompassing memory systems, context management, monitoring, and observability—while optimizing AI systems for performance, cost, and reliability in real-world deployments. You will build practical projects, such as AI-powered productivity assistants, AI coding assistants, and knowledge management systems. Furthermore, you will gain an understanding of AI governance, ethics, and responsible development practices, while acquiring the skills necessary to construct modern AI applications and agent-based solutions.
What you will learn in Mastering Claude AI: Build AI Apps Agents & MCP Systems:
- 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
- and …
Course specifications
Publisher: Udemy
Instructors: Data Science Academy and School of AI
Language: English
Level: Introductory to Advanced
Number of Lessons: 54
Duration: 11 hours and 45 minutes
Course topics
Mastering Claude AI: Build AI Apps Agents & MCP Systems Prerequisites
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
Pictures
Mastering Claude AI: Build AI Apps Agents & MCP Systems introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.9 GB