Student Handbook

Welcome to the Certified LLM Engineer (CLLME) Program.

You are entering one of the world's most advanced and practical professional training programs. This program is designed to prepare you for designing, training, evaluating, optimizing, and deploying large language models from scratch — tokenization, transformers, fine-tuning, RLHF, RAG, evaluation, inference optimization, and production deployment.

By completing this program, you will earn the professional designation: Certified LLM Engineer (CLLME).

The program consists of:

• 12 Instructional Modules
• 12 Module assessments (80% minimum)
• Workbook Exercises
• Capstone Project
• 100-Question Final Exam
• Diploma, Transcript, and Badge Pack

Each module includes:

• Textbook
• Video script
• Instructor notes
• Workbook
• Module assessment
• Automation unlock logic

By the end of this program, you will be able to:

• Implement tokenization, embeddings, and attention from scratch
• Build and train transformer-based language models
• Fine-tune base models with SFT, LoRA, and PEFT methods
• Apply RLHF and modern alignment techniques
• Design RAG pipelines and evaluation harnesses
• Optimize inference cost, latency, and throughput
• Ship LLM systems to production with monitoring
• Deliver an end-to-end capstone LLM system

Students are expected to:

• Complete all modules in order
• Score ≥ 80% on each module assessment
• Complete workbook exercises
• Submit a Capstone Project
• Pass the final exam
• Maintain academic integrity
• Ask questions when needed
• Engage with the material

• Each module ends with a module assessment
• Minimum passing score: 80%
• Unlimited retries
• Module assessments unlock the next module
• Scores appear on your transcript

The Capstone is your final demonstration of mastery.

You will build a full enterprise‑grade AI agent system that includes:

• Multi-agent collaboration
• Tools and APIs
• Memory and RAG
• Planning and autonomy
• Safety and governance
• Deployment and observability

Capstone Rubric:

• 100 multiple-choice questions
• Covers all 12 modules
• Passing score: 80%
• One retake allowed
• Passing unlocks your diploma and master badge

You must complete your own work.

Violations include:

• Plagiarism
• Misrepresentation
• Unauthorized collaboration
• Tampering with records
• Attempting to falsify credentials

Consequences may include:

• Warning
• Assignment failure
• Removal from program
• Credential revocation

• Read each module fully
• Complete workbook exercises
• Take notes on key concepts
• Review diagrams and examples
• Practice tool and API reasoning
• Revisit memory and RAG concepts
• Prepare early for the Capstone
• Review module assessments before the final exam

If you need help:

• Contact your instructor
• Review module notes
• Revisit workbook exercises
• Ask for clarification

Support emails:

• Academic Support: support@gacs.global
• Registrar: registrar@gacs.global
• Compliance: compliance@gacs.global

Upon successful completion, you will receive:

• Official Diploma (CLLME)
• Official Transcript
• Six Digital Badges
• Verification Registry Entry
• Portfolio-ready Capstone Project

These credentials may be used on:

• Résumés
• LinkedIn
• Portfolios
• Job applications
• Professional profiles

All credentials can be verified at:

https://verify.gacs.global/diploma/{{diploma_number}}

Employers may print verification pages for HR or compliance files.

To graduate, you must:

• Complete all modules
• Pass all module assessments
• Submit and pass the Capstone
• Pass the final exam
• Maintain academic integrity