Get Up to Speed with AI in 2025: Model Context Protocol, Agents, RAG, Hybrid Search, and More

Overview

Explore the forefront of AI in 2025, where you'll learn about the latest advancements, including Model Context Protocol, agents, RAG, and hybrid search. Delve into the use of embeddings and vector databases while gaining practical implementation strategies to remain a leader in AI development.

This course, available on YouTube, offers a comprehensive look at staying ahead in the ever-evolving field of AI.

Syllabus

• Introduction to AI in 2025
Overview of advancements in AI technology
Key trends and future directions
• Model Context Protocol (MCP)
Understanding Model Context Protocol
Applications and use cases of MCP
Integration with existing systems
• Intelligent Agents
Types and roles of AI agents
Designing and deploying agents
Real-world examples and case studies
• Retrieval-Augmented Generation (RAG)
Fundamentals of RAG
Building RAG models
Incorporating RAG in applications
• Hybrid Search Methods
Principles of hybrid search
Combining search techniques for optimal performance
Industry applications and best practices
• Embeddings in AI
The concept and use of embeddings
Techniques for generating embeddings
Enhancing AI models with embedding techniques
• Vector Databases
Introduction to vector databases
Managing and querying large datasets
Use cases in AI development
• Practical Implementation Strategies
Building scalable AI systems
Adopting new AI technologies effectively
Case studies of successful AI implementation
• Staying Ahead in AI Development
Continuous learning and adaptation
Networking and participating in AI communities
Exploring opportunities for innovation and growth
• Conclusion and Future Outlook
Recap of key concepts
Preparing for future developments in AI technology

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Subjects

Computer Science