GenAI Pinnacle Plus Program

Industry-focused 12-week program to master Generative AI and Agentic AI end-to-end.

GenAI Pinnacle Plus Program

Become a GenAI and Agentic AI expert — start now.

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300
Hours
41
Live sessions
15
Courses
Intermediate
Level
Yes
Certificate
LLMs Diffusion Models Reinforcement Learning AI Agents RAG CrewAI LangGraph Fine-tuning

What's included

Weekend Mentorship

Live cohort sessions with senior practitioners, every weekend.

Real-World Projects

Build a portfolio with hands-on industry case studies.

Community Access

Join a cohort of peers and the wider Firstlincoln alumni network.

Internship Pathway

Transition from learning into real industry experience through our internship program.

Weekend Mentorship Sessions

More than recorded videos — this is a live cohort.

Our Weekend Mentorship Sessions are live, instructor-led cohorts that run every weekend. Instead of watching pre-recorded lessons in isolation, you join a small group, work through real-world case studies, ask questions in real time, and get direct feedback from senior practitioners actively working in industry.

  • Live Q&A with senior practitioners every weekend
  • Real case-study breakdowns, not just slides
  • Cohort accountability and peer feedback
  • Career guidance, mock interviews and portfolio reviews
Sessions run Virtual or Physical — pick your format when you enrol.

What you'll learn

  • LLMs Tools
  • RAG Systems

Prerequisites

  • zeal to learn

Curriculum statistics

300+
Hours
50+
Industry projects
40+
Tools and frameworks
30+
Assignments
75+
1:1 mentor sessions

Curriculum

14 modules • 43 lessons • 12

  1. Exploring the Generative AI Universe

    3 lessons
    • Introduction to Generative AI
    • Essentials of Prompt Engineering
    • Fine-Tuning, RAGs and Agents
    • Python fundamentals for AI
    • Working with APIs
    • Asynchronous Python for agent workflows
    • Build your first ML model
    • Foundational ML algorithms
    • Introduction to Deep Learning using PyTorch
    • NLP using PyTorch
    • Working with transformer models
    • Sequence-to-sequence tasks
    • Getting started with LLMs
    • Introduction to LangChain for Agentic AI
    • RAG Systems Essentials
    • Building RAG with LlamaIndex
    • Building end-to-end Generative AI applications
    • From Prompt to Product: Vibe Coding with Windsurf
    • Architecting Agentic AI
    • Building AI Agents from scratch
    • Building AI Agents with LangChain
    • Building your first AI Agent with LangGraph
    • Building your first AI Agent with CrewAI
    • Building Advanced AI Agents with LangGraph
    • Building Advanced AI Agents with AutoGen
    • Building Advanced AI Agents with CrewAI
    • Building Agentic RAG with LangGraph
    • Building Agentic RAG with AutoGen for eCommerce
    • Multi-Agent AI for Hotel Reservations
    • Fine-tuning LLMs
    • Training LLMs from Scratch
    • Mastering RL Foundations to Human Feedback
    • Mastering LLMOps: From Build to Deployment
    • Agent Ops: Building and Deploying Agentic AI Systems
    • Getting started with Stable Diffusion
    • Mastering methods and tools
    • Advanced Stable Diffusion techniques
    • Human decision making and its biases
    • Structured approach to problem solving
    • Design Thinking for Data Professionals
    • Generative AI for Consultants
    • Generative AI for Business — a leader's handbook
    • Successful AI strategies: a CEO's perspective

Reinforce your learning with real projects

Work on real world projects and get practical industry-relevant experience

Learning objectives
  • Train and evaluate LLMs from scratch
  • Learn LLM best practices and setup
  • Implement advanced computing strategies

Training Large Language Models

Build LLMs like GPT-3.5 from scratch

Learning objectives
  • Master building a ChatGPT-like LLM
  • Apply pretraining, fine-tuning and RLHF
  • Learn dialogue-optimised LLM practices

ChatGPT Model Building

Develop a personalised ChatGPT-style model

Learning objectives
  • Create a RAG-based QA chatbot
  • Develop end-to-end apps with LangChain and Streamlit
  • Integrate UI and backend seamlessly

End-to-End RAG App

Build a full-stack RAG-based Q&A application

Learning objectives
  • Build conversational bots with LLMs
  • Develop AI tools and agents via LangChain
  • Manage LLM applications using LangChain

Conversational Agents with LangChain

Production-grade agents with LLMs and tools

Learning objectives
  • Enhance search accuracy through reranking
  • Apply techniques from cutting-edge research
  • Build RAG systems for diverse data types

Advanced RAG System

Multi-modal RAG across tables, text and images

Learning objectives
  • Master prompt engineering techniques
  • Build chatbots using the ChatGPT API
  • Implement LLMs over private data

Prompt-Driven LLM Apps

Build your own LLM application using only prompts

Learning objectives
  • Build RAG systems using LlamaIndex
  • Explore advanced LlamaIndex components
  • Fine-tune embeddings and retrieval

LlamaIndex RAG System

Production-ready RAG on your private data

Learning objectives
  • Efficient LLM fine-tuning with PEFT
  • Apply LoRA, QLoRA and soft prompting
  • Build instruction-following LLMs

LLM PEFT Fine-tuning

Efficient fine-tuning with LoRA and QLoRA

Learning objectives
  • Fine-tune Stable Diffusion
  • Apply customisation best practices
  • Understand Stable Diffusion internals

Custom Diffusion Model

Fine-tune Stable Diffusion on your dataset

Personalized Roadmap

Start your journey with a learning path customised to your motivation and experience

Start
1
Foundation Python and ML
2
Deep Learning Fundamentals
3
LLMs and Prompting
4
Build RAG Systems
5
6
Build AI Agents
7
Advanced Agents and Multi-Agent Systems
8
Fine-tuning and Training LLMs
9
LLMOps and Deployment
10
Capstone — Ship a Production GenAI App
Internship Pathway

From classroom to a real industry role.

Top performers progress into our Internship Pathway — a structured placement programme of 3, 6 or 12 months. Internships are either sponsorship-backed or guardian-supported, depending on the arrangement that suits the learner.

3 months 6 months 12 months
Learn how the internship pathway works →

Your instructor

Engr. Emmanuel Ndubusi

Engr. Emmanuel Ndubusi

GenAI Architect, Firstlincoln

Specialises in production GenAI systems at scale — has shipped RAG and Agentic AI in fintech, healthcare and the public sector.

Get Expert Guidance

Need support? We've got your back — talk to a Firstlincoln advisor today.

+234 806 693 8330
10am – 7pm (Mon–Sat)
info@firstlincoln.net
You'll hear back in 24 hours.