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

Overview

Explore the cutting-edge AI landscape of 2025, covering Model Context Protocol, agents, RAG, hybrid search, embeddings, vector databases, and practical implementation strategies for staying ahead in AI development.

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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