Build practical AI foundations for real-world workflows and product use-cases.
Applied AI Foundations helps builders understand AI concepts, problem framing, and implementation patterns through guided examples and practical assignments.
Updated regularly
Module 1: AI Landscape 2026 - LLMs, multimodal models, and where AI fits in business
Module 2: Problem Framing - turning a business need into an AI-solvable task
Module 3: Data Handling Basics with Python, Pandas, and Google Colab
Module 4: Intro to Models - classification, regression, and using pre-trained APIs (OpenAI, Gemini)
Module 5: Model Evaluation - accuracy, precision/recall, and avoiding common pitfalls
Module 6: Responsible AI - bias, hallucination awareness, and data privacy basics
Module 7: Capstone - build and present an end-to-end applied AI mini-project
AI problem framing
Data preparation basics
Model evaluation
Practical AI workflow design
Customer churn predictor
Lead scoring mini-project
Is this course suitable for working professionals?
Yes. The builder journey is structured for both students and working professionals, with guided modules, assignment checkpoints, and mentor support.
Do I get certification preparation support?
Yes. This program includes structured guidance for Applied AI Foundation with revision plans and mock checkpoints.
Will I build practical projects in this course?
Yes. Every track includes project work so you can apply concepts in practical scenarios and build portfolio-ready outcomes.
