Master LLM Engineering & AI Agents: Build 14 Projects - 2025

Name: Master LLM Engineering & AI Agents: Build 14 Projects - 2025
Price: 12.99 USD
Availability: InStock
Rating: 4.6 (6309 reviews)

Learn Hugging Face, LangGraph, CrewAI, AutoGen, N8N, RAG, MCP, & OpenAI Agents SDK + Expert Help & Access AI Community

4.6 ★★★★★6,309 studentsCreated by Prof. Ryan AhmedLast updated Nov 20, 2025🌐 English

What you'll learn

✓Understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed.

✓Create and deploy intelligent autonomous AI agents using cutting-edge frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP.

✓Explore and benchmark open-source LLMs such as LLama, DeepSeek, Qwen, Phi, and Gemma using Hugging Face and LM Studio.

✓Develop real-world applications using API access to OpenAI, Gemini, and Claude for text generation and vision tasks.

✓Apply a proven 5-step framework to select the right AI model for your business: maximizing cost-efficiency, minimizing latency, & accelerating time to market.

✓Evaluate LLMs using leaderboards like Vellum and Chat Arena, and conduct blind tests to objectively assess AI model performance.

✓Design Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenAI embeddings, & ChromaDB for efficient document retrieval & question answering.

✓Build an interactive, transparent AI-powered Q&A system with a Gradio interface that displays answers along with source citations for enhanced user trust.

✓Master data validation & structured output generation using the Pydantic library, including BaseModel, type hints, & parsed output creation from OpenAI models.

✓Build an AI-powered resume editor that analyzes gaps between a resume & job description & automatically tailors resumes/cover letters for targeted applications.

✓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.

✓Master dataset preparation and model evaluation techniques, including calculating accuracy, precision, recall, and F1-score using scikit-learn.

✓Apply key components in Hugging Face Transformers library such as pipeline( ), AutoTokenizer( ), and AutoModelForCausalLM( ).

✓Gain practical experience working with open-source datasets/models on Hugging Face, & apply quantization techniques like bitsandbytes to optimize Performance.

✓Master advanced prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting.

✓Deploy multi-model AI agents using AutoGen, integrating LLMs from OpenAI, Gemini, & Claude, enabling agent collaboration & human-in-the-loop oversight.

✓Develop and deploy agentic AI workflows using LangGraph, mastering concepts like states, edges, conditional logic, and multi-stage nodes.

✓Design & build AI-powered booking agents using LangGraph, enabling automated search & recommendation of flights & hotels through integration with external APIs.

✓Build a data science agent team using CrewAI, creating specialized agents for workflow planning, data analysis, model building, and predictive analytics.

✓Design and automate end-to-end Agentic AI workflows using n8n, integrating services like Gmail, Google Sheets, Google Calendar, and OpenAI.

✓Build an advanced AI tutor system using Model-Context-Protocol (MCP) and OpenAI Agents SDK, enabling dynamic tool interoperability.

✓Apply classical ML models (linear regression, random forest, XGBoost) within agent workflows, including dataset loading and inspection.

Requirements

•You will need a laptop and an internet connection!

•No programming experience required; basic Python skills are a plus.

Description

Review - Master LLM Engineering & AI Agents: Build 14 Projects - 2025 course on Udemy worth it?

Complete Review: Master LLM Engineering & AI Agents: Build 14 Projects - 2025 by Prof. Ryan Ahmed

Master LLM Engineering & AI Agents: Build 14 Projects - 2025 is a comprehensive online course designed to help students master IT & Software skills. Created by Prof. Ryan Ahmed, this course provides practical knowledge and hands-on experience in Large Language Models (LLM).

The course structure is well-organized, making it easy for learners at all levels to follow along. Prof. Ryan Ahmed does an excellent job breaking down complex concepts into digestible lessons that build upon each other progressively.

What sets this course apart is its focus on real-world application. Each module includes practical exercises, downloadable resources, and case studies that help students apply what they've learned in professional settings.

Students particularly appreciate the course's emphasis on practical skills. Prof. Ryan Ahmed provides templates, checklists, and real-world examples that learners can immediately use in their work or projects.

Available on Udemy, this course offers the flexibility that modern learners need. You can study at your own pace, access materials from any device, and learn from anywhere in the world.

The Udemy platform also provides excellent support with an active community forum, responsive instructor feedback, and lifetime access to course materials and updates.

If you're looking to improve your skills in IT & Software, particularly in Large Language Models (LLM), Master LLM Engineering & AI Agents: Build 14 Projects - 2025 offers excellent value and comprehensive learning experience that can advance your career.

Our Recommendation

Based on our analysis of student feedback, curriculum quality, and learning outcomes, we highly recommend Master LLM Engineering & AI Agents: Build 14 Projects - 2025 for anyone serious about mastering it & software. This course delivers exceptional value and practical knowledge that translates directly to real-world success.

Student Feedback

4.6

★★★★★

Course Rating

75%

15%

Sarah Johnson

★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

Michael Torres

★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

David Kim

★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.