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Fine-Tuning LLM Model to Supercharge Your Model

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Intermediate
  • Assessment NA

Venue

Download Course Brochure

Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Fine-Tuning LLM Model to Supercharge Your Model

Course Code: C502

7 Review(s) | Add Your Review

What's This Course About

Master the art of fine-tuning Large Language Models (LLMs) to build powerful, custom AI solutions tailored to your business needs. This comprehensive course takes you from the foundations of transformer architecture and attention mechanisms through to advanced techniques including Retrieval-Augmented Generation (RAG), Supervised Fine-Tuning (SFT), Parameter Efficient Fine-Tuning (PEFT), and Low-Rank Adaptation (LoRA). You will gain hands-on experience building RAG systems, working with vector databases, and implementing cutting-edge reinforcement learning strategies such as Group Relative Policy Optimization (GRPO) to supercharge your model's performance.

Take your AI expertise to the next level by learning how to deploy production-ready fine-tuned models using Hugging Face libraries, datasets, and tokenizers. Whether you are looking to create domain-specific AI agents, optimize NLP applications, or unlock the full potential of open-source LLMs, this course equips you with the practical skills and knowledge to fine-tune, evaluate, and deploy models with confidence. Graduate with the ability to transform general-purpose language models into high-performing, task-specific AI powerhouses that deliver real business value.

WSQ Funding

Full Fee ₵3,000.00 Before GST
GST ₵270.00 9% of fee
Baseline Nett ₵1,770.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵1,170.00 SG age 40+ · 70% funded

Course Fee

₵3,000.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Introduction to Large Language Models (LLM) and AI Agents

Overview of transformer architecture and attention mechanisms in LLMs

Introduction to AI agents

NLP applications Powered by LLM and AI agents

Use cases of LLMs and AI agents

Topic 2 Retrieval-Augmented Generation (RAG)

Introduction to Retrieval-Augmented Generation (RAG)

Use cases of RAG

Overview of tokenization and word embeddings

Overview of chunking strategies and vector databases

Build a RAG system

Topic 3: Fundamentals of Fine Tunning LLM

Fundamentals of LLM Fine Tuning

Supervised Fine-Tuning (SFT) for custom LLM Tasks

Parameter Efficient Fine Tuning (PEFT)

Low-Rank Adaptation (LoRA) for fine tuning LLM

Group Relative Policy Optimization (GRPO)

Reinforcement Learning (RT Learning) for fine tunning

Topic 4 Fine Tuning LLM Implementation and Deployments

Overview of Hugging Face Fine Tuning Libraries

Implementing Fine Tuning wiht Hugging Face Libraires

Using Hugging Face datasets and tokenizers for LLMs fine tunning

Deploying and testing Fine-Tuned models

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • AI Engineer
  • Machine Learning Engineer
  • NLP Engineer
  • LLM Fine-Tuning Specialist
  • AI Research Scientist
  • Data Scientist
  • Deep Learning Engineer
  • AI Solutions Architect
  • MLOps Engineer
  • AI Product Manager
  • Conversational AI Developer
  • AI Infrastructure Engineer
  • Natural Language Processing Researcher
  • AI Consultant
  • Machine Learning Operations Specialist
  • AI Application Developer
  • Data Engineer
  • AI Technical Lead
  • Prompt Engineer
  • AI Systems Integration Specialist

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (7)

Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 6/1/2026)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 3/1/2026)
Hands-on and practical Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 2/28/2026)
Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 11/5/2025)
Practical and relevant Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 7/21/2025)

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