Certified AI & ML Program

aster AI and Machine Learning end-to-end. Shape tomorrow with smarter insights

Certified AI & ML Program

From beginner to certified expert in 16 weeks of structured learning.

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500
Hours
40
Live sessions
26
Courses
All Levels
Level
Yes
Certificate
Python Statistics Machine Learning Deep Learning NLP Computer Vision Big Data MLOps Tableau

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

  • Deep Learning Foundations
  • Natural Language Processing

Prerequisites

  • Zeal to learn

Curriculum statistics

500+
Hours
40+
Real projects
22+
Tools mastered
35+
Assignments
75+
1:1 mentor sessions

Curriculum

12 modules • 36 lessons • 16
  1. Python for Data Science

    3 lessons
    • Python fundamentals
    • NumPy, Pandas and data manipulation
    • Visualisation with Matplotlib and Seaborn
    • Descriptive and inferential statistics
    • Probability distributions
    • Hypothesis testing
    • Linear and Logistic Regression
    • Decision Trees and Random Forest
    • Model evaluation and validation
    • Support Vector Machines
    • Boosting (XGBoost, LightGBM, CatBoost)
    • Unsupervised learning and clustering
    • Neural network basics
    • Backpropagation and gradient descent
    • TensorFlow and PyTorch
    • CNN architectures
    • Object detection (YOLO, Faster R-CNN)
    • Image segmentation
    • Text preprocessing and word embeddings
    • Sequence models (RNN, LSTM)
    • Transformers and BERT
    • ARIMA and seasonal decomposition
    • Prophet and LSTM for forecasting
    • Deploying time-series models
    • Spark for big data
    • Distributed ML with PySpark
    • Kafka for streaming data
    • Docker and Kubernetes basics
    • Model deployment with FastAPI
    • CI/CD for ML and monitoring
    • SQL for analytics
    • Tableau and Power BI dashboards
    • Storytelling with data
    • Choose an industry vertical
    • End-to-end ML system from scratch
    • Project defence and certification

Reinforce your learning with real projects

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

Learning objectives
  • Learn user watching patterns
  • Provide relevant suggestions
  • Enhance user experience for streaming services

Movie Recommender System

Build a movie recommendation engine using collaborative filtering

Learning objectives
  • Learn to pre-process text data
  • Build an end-to-end autocorrect model
  • Apply text correction in real-world applications

Auto Correct

Pre-process text data and build an end-to-end autocorrect model

Learning objectives
  • Learn to detect faces from images
  • Implement state-of-the-art models
  • Understand principles of DL-based face detection

Face Detection

Detect faces using YOLO and RetinaNet

Learning objectives
  • Learn working with time series data
  • Apply deep learning to forecasting
  • Predict website traffic accurately

Web Traffic Prediction

Use deep learning to forecast website traffic

Learning objectives
  • Learn and implement chatbot architecture
  • Understand user intentions
  • Provide customised responses

Build a Chatbot

Build an AI-based chatbot from scratch

Learning objectives
  • Understand image generation with GANs
  • Apply CV to textile design
  • Generate innovative designs with DL

Texture Generation using GANs

Use computer vision to design textiles

Learning objectives
  • Implement state-of-the-art CV techniques
  • Detect human poses
  • Track and analyse human movements

Human Pose Estimation

Detect human pose from images using CV

Learning objectives
  • Engineer features from financial data
  • Train classification models
  • Evaluate with business metrics

Loan Prediction

Predict loan approval using ML

Learning objectives
  • Engineer features from CRM data
  • Compare ML model families
  • Deploy a churn-scoring API

Customer Churn

Predict customer churn for a Nigerian telco

Personalized Roadmap

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

Start
1
Python and Statistics
2
Master ML Foundations
3
Advanced ML and Boosting
4
Deep Learning Foundations
5
6
Computer Vision
7
Natural Language Processing
8
Time Series and Big Data
9
MLOps and Deployment
10
Capstone and Certification
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

Emmanuel Ighalo

Emmanuel Ighalo

Lead GenAI Architect, Firstlincoln

An AI/ML engineer and technical instructor specializing in machine learning systems, data modeling, and applied artificial intelligence. Experienced in building and deploying production-ready ML solutions and translating complex algorithms into practical, hands-on learning modules. Focused on delivering industry-driven training that equips learners with real-world skills in Python, data science, and modern AI workflows.

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