Ryan Ahmed – Become an LLM & Agentic AI Engineer: 14-Day Bootcamp
type: Product
description: Here’s What You Get: Learn how to build, deploy, and automate powerful AI agents to accelerate your business results. Get instant access to 14 days of intensive training, expert weekly coaching calls, and a thriving AI community. 24+ hours of video content 300+ video lectures 14-Day extensive training Access to an exclusive AI community Weekly live group coaching calls (1 year access) Access to code, slides, & data Practice Opportunities with Solutions WHAT YOU WILL LEARN In this bootcamp, you’ll: Understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed. Explore and benchmark open-source LLMs such as LLaMA, DeepSeek, Qwen, Phi, and Gemma using Hugging Face and LM Studio. Apply a proven 5-step framework to select the right AI model for your business: maximizing cost-efficiency, minimizing latency, & accelerating time to market. Design Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenAI embeddings, & ChromaDB for efficient document retrieval & question answering. Master data validation & structured output generation using the Pydantic library, including BaseModel, type hints, & parsed output creation from OpenAI models. Learn how to fine-tune pre-trained open-source LLMs using parameter-efficient methods like LoRA and tools such as Hugging Face’s TRL and SFTTrainer. Apply key components in Hugging Face Transformers library such as pipeline(), AutoTokenizer(), and AutoModelForCausalLM(). Master advanced prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting. Develop and deploy agentic AI workflows using LangGraph, mastering concepts like states, edges, conditional logic, and multi-stage nodes. Build a data science agent team using CrewAI, creating specialized agents for workflow planning, data analysis, model building, and predictive analytics. Build an advanced AI tutor system using Model-Context-Protocol (MCP) and OpenAI Agents SDK, enablin…
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