LLM Engineering Essentials

Day 1: Foundations of Large Language Models

Agenda:

• Introduction to LLM architecture and components.
• Understanding LLM lifecycle: training, fine-tuning, and deployment.
• Overview of vector-based data and embeddings.
• Tools and frameworks setup (ZenML, Hugging Face, Qdrant).
• Building development environments for LLM workflows.

Learning Objectives:

• Understand LLM architecture and key concepts.
• Set up tools and frameworks for LLM engineering.
• Learn the basics of vector data and embeddings.

Day 2: Building and Fine-Tuning LLMs

Agenda:

• Preparing datasets for training and fine-tuning.
• Hands-on experience with pre-trained LLMs.
• Fine-tuning models for specific use cases.
• Implementing pipelines for data processing and model training.

Learning Objectives:

• Learn to prepare and process datasets for LLM training.
• Gain experience in fine-tuning pre-trained LLMs.
• Build and execute LLM training pipelines.

Day 3: Deploying and Scaling LLMs

Agenda:

• Setting up cloud environments for deployment.
• Introduction to MLOps workflows for scaling.
• Hands-on: deploying LLMs using containerization (Docker).
• Using Qdrant for vector-based search and retrieval.

Learning Objectives:

• Understand deployment strategies for LLMs.
• Learn to integrate MLOps for scalable workflows.
• Deploy LLMs using containerization and vector search databases.

Day 4: Monitoring and Optimizing LLMs

Agenda:

• Implementing model monitoring and evaluation metrics.
• Exploring prompt optimization for real-world applications.
• Troubleshooting common issues in production.
• Course wrap-up: best practices and future trends in LLM engineering.

Learning Objectives:

• Learn to monitor and evaluate LLM performance.
• Optimize prompts for specific use cases.
• Gain troubleshooting skills for production deployments.

Instructor Kit

(PPTX/PDF of Slides + Optional Instructor Notes)
Comprehensive slide deck with detailed content covering all modules, plus optional instructor notes to enhance teaching effectiveness.

Student Kit / Handout

(with Free Branding)
Professionally designed handouts for students, including all essential course information and customizable branding options for your organization.

Course Agenda / Outline

Detailed day-by-day course agenda and outline, ensuring smooth course delivery and a structured learning experience for students.

Study Guide

A concise guide summarizing key concepts and topics covered in the course, perfect for post-course review and exam preparation.

FAQ

Answers to commonly asked questions about the course content, delivery, and labs to support instructors and students.

Briefing Doc

A high-level document summarizing the course objectives, target audience, and key learning outcomes, ideal for internal use and marketing.

Sales Enablement Kit for IT Training Sales Engineers

(Additional Fee)
Exclusive toolkit designed for IT training sales teams, including pitch decks, objection handling, and ROI documentation to support course sales.

Course AI GPT

(Course Assistant GPT so students can talk to the course materials!)
A cutting-edge AI-driven assistant that allows students to interact with course content, ask questions, and receive instant feedback.

Optional Podcast

(of the entire course or for each individual module)
Engaging audio content covering the entire course or individual modules, perfect for on-the-go learning or reinforcement.

Lab Guide

(Lab Environments are additional and can be found at CourseLabs.io)
Step-by-step lab guide to support hands-on learning, with lab environments available separately at CourseLabs.io.

Lab Files

(If you choose to host your own lab environment)
All necessary files and instructions for setting up and running labs in your own environment, offering flexibility in deployment.

Software and Tools

• Python: 3.11.8
• Poetry: 1.8.3
• Poe the Poet: Latest stable version
• ZenML: Latest stable version
• Comet ML: Latest stable version
• Opik: Latest stable version

Databases

• MongoDB: Latest stable version
• Qdrant: Latest stable version

Cloud and Containerization

• AWS SageMaker: Latest stable version
• Docker: 27.1.1 or higher
• Elastic Container Registry (ECR): Latest stable version

Model Registry

• Hugging Face: TwinLlama 3.1 8B, TwinLlama 3.1 8B DPO

Course Objectives

This course is designed to provide participants with the foundational knowledge and practical skills required to understand, build, and deploy Large Language Models (LLMs) effectively. By the end of the course, learners will:

• Grasp key concepts behind LLMs and their practical applications in high-tech industries.
• Gain hands-on experience with tools like ZenML, Hugging Face, and Qdrant.
• Master MLOps strategies to optimize LLM workflows for production.
• Confidently deploy and troubleshoot LLM solutions tailored to real-world challenges.

Learning Objectives

Participants will:

• Understand the architecture and life cycle of LLMs.
• Use modern MLOps tools to automate and scale AI workflows.
• Explore practical examples, such as fine-tuning and deploying LLMs with vector search databases.
• Learn to monitor, evaluate, and improve LLM performance.

Who This Course Is For

This course is ideal for:

• AI Engineers: Looking to develop expertise in modern LLM technologies.
• Data Scientists: Seeking hands-on experience in deploying machine learning models.
• Software Developers: Interested in integrating AI-driven solutions into applications.
• MLOps Professionals: Focusing on building scalable, production-ready AI workflows.
• Technical Trainers: Expanding their course offerings in AI and machine learning.

Course Features

• Interactive Format: 50% lecture, 50% hands-on labs to ensure an engaging, practical learning experience.
• Customizable Duration: Courseware can be tailored to your needs, available as a 4-day, 3-day, 2-day, 1-day, or extended 5-day course.
• Affordable Pricing: Just $40/student per day, offering incredible value for comprehensive, instructor-led training.

Ready to elevate your training capabilities and empower your learners with the latest in AI and LLM technologies? This course is your gateway to mastering one of the most in-demand skills in the tech industry.