The Computer Vision Internship (BOOK 3)

Learn Computer Vision the Way Industry Actually Works

Most Computer Vision courses teach algorithms.

This internship teaches how Computer Vision engineers work.

Instead of watching endless tutorials, you'll step into MediVision AI, a simulated AI company where you learn through real projects, workplace scenarios, coding challenges, and deployment-focused tasks.

Over 12 carefully designed internship weeks, you'll build industry-ready skills while solving real Computer Vision problems using modern AI tools and medical imaging datasets.

Whether you're a student, researcher, lecturer, or aspiring AI engineer, this guide takes you from foundational image processing to explainable AI, fairness, deployment, and portfolio development.

What You'll Learn

✔ Computer Vision Fundamentals

✔ Image Processing & Enhancement

✔ Feature Engineering

✔ PyTorch

✔ Convolutional Neural Networks (CNNs)

✔ Transfer Learning

✔ Medical Image Analysis

✔ Chest X-ray Classification

✔ Histopathology Image Analysis

✔ Skin Lesion Classification

✔ Explainable AI (Grad-CAM)

✔ AI Fairness & Bias Evaluation

✔ Model Cards & Documentation

✔ Deployment Readiness

✔ Professional AI Workflow

Build Five Real-World Projects

Throughout the internship, you'll develop practical portfolio projects using industry-inspired datasets, including:

• Oxford-IIIT Pets Image Classification
• NIH Chest X-Ray14 Disease Classification
• BreakHis Breast Cancer Histopathology Classification
• TCGA Uterine Cancer Whole-Slide Image Analysis
• HAM10000 Skin Lesion Classification

What Makes This Different?

Unlike traditional books, The Computer Vision Internship is designed as a simulated internship experience.

Inside you'll find:

• Weekly project briefs
• Workplace conversations
• Daily learning objectives
• Coding exercises
• Practical assignments
• Reflection activities
• Challenge tasks
• Portfolio checkpoints
• Industry best practices
• Deployment guidance

You'll learn exactly how professional AI engineers think, build, evaluate, and deploy Computer Vision systems.

Who Is This For?

This product is ideal for:

• Computer Science students
• AI & Machine Learning students
• Data Scientists
• AI Researchers
• Medical AI Researchers
• University lecturers
• Graduate students
• PhD candidates
• AI bootcamp participants
• Anyone preparing for Computer Vision or AI careers

What You'll Receive

After purchase, you'll receive instant access to:

• The Computer Vision Internship eBook (PDF)
• Hands-on coding examples
• Practice exercises
• Project templates
• Weekly internship roadmap
• Reflection worksheets
• Portfolio-building activities
• Real-world workflow guidance

Why This Book?

By the end of the internship, you'll have:

• A strong Computer Vision foundation
• Practical experience with modern AI tools
• Multiple portfolio-ready projects
• Better research skills
• Experience applying AI to medical imaging
• Knowledge of Explainable AI and Fair AI
• Confidence to tackle real-world Computer Vision problems

About the Author

Dr. Sakinat Folorunso

Associate Professor of AI Systems

Researcher in Artificial Intelligence, Machine Learning, Computer Vision, FAIR Data, Medical AI, and Federated Learning.

Founder of InternshipInABook™, a project-based learning initiative that bridges the gap between academic knowledge and industry-ready AI skills.

A 12-Week Project-Based Internship That Takes You from Computer Vision Fundamentals to Real-World AI Deployment