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- Core Tech
LLM Frameworks and Agent Oriented Development
Explore the fast paced world of LLM frameworks and agent-based AI development. This path covers modern approaches to building intelligent systems using various frameworks and tools. Learn to architect AI systems, implement vector search, develop specialized agents, and create document processing systems. The curriculum combines theoretical understanding with practical implementation, teaching you to build sophisticated AI solutions using frameworks like LangChain, Semantic Kernel, CrewAI, LlamaIndex, and Haystack.
Content in this path
AI System Architecture and Search Foundations
Explore foundational patterns and tools essential for structuring modern AI systems and enabling efficient retrieval.
Agent Development and Multi-Agent Collaboration
Learn to design, develop, and coordinate intelligent agents for single and multi-agent systems.
Frame-driven Python Development
Utilize powerful frameworks to streamline Python-based AI application development.
Document Understanding and Answering Questions
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What You'll Learn
- Design AI system architectures
- Implement vector search solutions
- Create task-specific AI agents
- Build document QA systems
- Develop multi-agent systems
- Use various LLM frameworks
- Optimize AI application performance
- Python programming proficiency
- Basic AI/ML understanding
- REST API experience
- Database fundamentals
- Basic cloud computing concepts
- Vector mathematics basics
- Large Language Models
- Vector Databases
- AI Agents
- Document Processing
- Embeddings