Deep Learning to AI Agents: Building Generative AI with MCP
Learn the fundamentals of deep learning, build autonomous AI agents, and implement the Model Context Protocol to connect models with external tools and data sources.
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AI instructor
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In English
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About this course
Generative AI is shifting from passive chat interfaces to active, autonomous AI agents that can interact with external tools and solve complex problems. Understanding how to transition from basic deep learning concepts to building these intelligent, tool-using agents is the key to staying ahead in modern software development. This text-based course guides you through the entire journey of modern AI implementation, starting with the core mathematical and conceptual foundations of neural networks and progressing to generative architectures.
You will learn how to build and connect autonomous AI agents using the Model Context Protocol (MCP), enabling them to read and write data from secure environments. Through clear, written explanations and step-by-step code snippets, you will gain a practical understanding of how modern agentic systems function.
What you'll learn:
- Understand the foundational concepts of deep learning, neural networks, and training pipelines
- Explore the architecture of modern Generative AI models and large language models
- Design and build autonomous AI agents capable of planning, reasoning, and executing tasks
- Implement the Model Context Protocol (MCP) to safely connect AI models to external databases and APIs
- Apply prompt engineering and basic retrieval-augmented generation (RAG) to improve agent accuracy
- Practice designing agentic workflows for real-world automation scenarios through written exercises
The curriculum begins with essential terminology and the mechanics of machine learning, ensuring you have a solid foundation before moving forward. From there, you will transition to practical generative AI concepts, learning how to configure, orchestrate, and deploy tool-using AI agents step-by-step.
This course is designed for software developers, tech enthusiasts, and beginners looking to transition into modern AI development. No prior experience with deep learning or AI engineering is required, though a basic familiarity with general programming concepts is helpful.
Start reading today and learn how to build the next generation of autonomous AI systems.
What you'll get
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Certificate of completion
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Personal AI tutor
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Audio version included
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Lifetime access
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Phone or computer
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14-day refund
No questions asked -
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Short & focused
2h 30m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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