Agentic AI Pioneer Program

Agentic AI Pioneer Program

Build AI agents that think, learn and act autonomously

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8
Duration
35a Bode Thomas Street, Surulere, Lagos
Location
All Levels
Level
25
Live sessions
8
Courses
Yes
Certificate
AI Agents LangChain LangGraph CrewAI AutoGen Multi-Agent Systems RAG

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.

Prerequisites

  • zeal to learn

Curriculum statistics

150+
Hours
50+
Real projects
20+
Tools and frameworks
15+
Assignments
75+
1:1 mentor sessions

Curriculum

8 modules • 22 lessons • 8

  1. MODULE 1 Generative AI Foundations

    3 lessons
    • Introduction to Generative AI
    • Essentials of Prompt Engineering
    • Fine-tuning, RAGs and Agents
    • From Prompt to Product: Vibe Coding with Windsurf
    • Anyone can build AI Agents
    • Coding essentials for Agents
    • Introduction to LangChain
    • Prompting engineering essentials
    • RAG Systems essentials
    • Design patterns and practices
    • 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
    • Agent Operations
    • Building a Social Media Agent with CrewAI
    • Building an AI-Powered Mock Interviewer with CrewAI
    • Software Engineering Agents with LangGraph

Reinforce your learning with real projects

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

Learning objectives
  • Build a basic AI agent from scratch
  • Program it to research companies effectively
  • Generate concise informative descriptions

Company Researcher Agent

A simple agent that researches a company and writes a description

Learning objectives
  • Develop an agent to review resume content
  • Customise based on user parameters
  • Generate improvement suggestions

Resume Reviewer Agent

An intelligent agent that reviews and refines resumes

Learning objectives
  • Implement understanding of customer problems
  • Deliver accurate and relevant solutions
  • Escalate to humans when needed

Customer Query Chatbot

A chatbot for handling customer inquiries end-to-end

Learning objectives
  • Compile product information at scale
  • Analyse customer data to identify fit
  • Generate tailored pitches for engagement

Sales Agent

A sophisticated agent that drafts sales pitches

Learning objectives
  • Discover advanced GPT-4o capabilities
  • Analyse handwritten text, graphs and charts
  • Engage with diverse media formats

Multimodal RAG with GPT-4o

Process text, images, audio together

Learning objectives
  • Develop a foundational RAG system
  • Implement source citation for all responses
  • Enhance credibility with linked content

Simple RAG with Citations

RAG system with source citations

Learning objectives
  • Design RAG supporting multiple users simultaneously
  • Implement memory to retain context
  • Provide accurate and relevant responses

Multi-user Conversational RAG

RAG with memory across multiple users

Learning objectives
  • Integrate text, tables and images
  • Utilise multimodal LLMs
  • Answer questions leveraging diverse sources

Multimodal RAG System

Text + tables + images in one RAG pipeline

Personalized Roadmap

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

Start
1
Prompt Engineering Mastery
2
LangChain Foundations
3
Build your First Agent
4
Multi-Agent Systems
5
6
Agentic RAG
7
Production Agent Operations
8
Capstone — Ship a Real-World Agent
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

Liam Adesanya

Liam Adesanya

GenAI Architect, Firstlincoln

Experienced AI/ML instructor at FirstLincoln Technologies with a passion for helping learners understand real-world artificial intelligence and machine learning concepts.

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.