Academy Program
Become an LLM Solutions Engineer
Go beyond basic chatbot wrappers. This training course covers prompt templates, zero-shot and multi-step reasoning, semantic search configuration with vector DBs, and autonomous agent orchestration loops to deploy production-ready cognitive apps.
Course Curriculum Modules
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Module 1: LLM Foundations (Context windows, tokens, parameters, GPT-4/Gemini APIs)
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Module 2: Advanced Prompting (Few-shot, Chain-of-Thought, ReAct, and self-consistency loops)
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Module 3: Retrieval-Augmented Generation (RAG) (Document parsing, chunking, embeddings, Pinecone DB)
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Module 4: LangChain and LlamaIndex (Chaining outputs, memory states, custom parser objects)
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Module 5: AI Agent Loops (Autonomous tools calling, feedback reflection, agent systems)
Program Highlights
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👉 Develop 4 production LLM projects (custom code generator, semantic doc reviewer)
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👉 Access to live sandbox API token keys for GPT-4, Claude 3, and Gemini Pro models
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👉 Comprehensive labs focused on mitigating LLM hallucinations and data leaks
