Published 3/2026
Created by Data Science Academy
MP4 | Video: h264, 1280×720 | 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
Description
“This course contains the use of artificial intelligence”
Artificial Intelligence is transforming how we build software, automate workflows, and solve complex problems. Modern Large Language Models (LLMs) such as Claude AI are enabling developers, entrepreneurs, and professionals to create intelligent systems that can reason, analyze information, generate content, and automate real-world tasks.
This comprehensive course will teach you how to master Claude AI and build real AI-powered systems, from basic prompting to advanced AI application development, AI agents, and Model Context Protocol (MCP) integrations.
You will start by understanding the fundamentals of Artificial Intelligence, Large Language Models, and how Claude AI works. Then you will progressively learn how to use Claude effectively through prompt engineering, productivity workflows, and responsible AI practices.
As the course advances, you will move into developer-level skills, including using the Claude API, building AI-powered applications, and integrating Claude Code into modern development environments.
A major part of this program focuses on building real AI systems, including
• AI productivity assistants
• AI coding assistants
• knowledge management systems
• autonomous AI agents
You will also learn how to design advanced AI architectures, including multi-agent systems, AI memory systems, and scalable AI infrastructure.
The course introduces one of the most important emerging standards in AI development: Model Context Protocol (MCP). You will learn how MCP enables AI systems to connect with tools, data sources, and services to create powerful AI ecosystems.
Beyond technical development, the course also teaches AI fluency, including human-AI collaboration, AI governance, and how organizations are becoming AI-native companies.
By the end of the course, you will understand how to design, build, deploy, and manage production-ready AI systems using Claude AI.
This course is designed for developers, professionals, and anyone who wants to become an AI systems builder in the era of intelligent automation.
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