AI Engineering career Launchpad 2026

Live Class 1: Kickstart Your AI Journey – Careers & Roadmap

Topics:
What is AI & ML? | Real-world applications: ChatGPT, Netflix, Self-driving cars | Career roles: AI Engineer, ML Engineer, Data Scientist, MLOps, NLP & CV Specialists | Global demand, salaries & freelancing opportunities | Future of AI: Generative AI, GPT, LangChain & Multi-Agent Systems | The AI Engineer Roadmap: Foundations → ML Basics → Deep Learning → Applied AI Engineering | Why now is the best time to learn AI | Success stories & Q&A

Live Class 2: Fundamentals of AI & ML – Tools You Need

Topics:
Getting started with Python for AI | Introduction to Jupyter Notebook & Google Colab | Variables, loops & functions in Python (beginner level) | Introduction to Numpy: arrays, vectors, basic operations | Introduction to Pandas: working with datasets, rows & columns | Simple data cleaning: missing values & data types | Basic data visualization with Matplotlib | Version control basics: Git & GitHub overview

Live Class 3: Build Your First ML Project – From Data to Predictions

Topics:
What is a dataset? Features & labels explained | Introduction to ML workflows: data → model → prediction | Types of ML: Regression vs Classification (beginner overview) | Understanding model evaluation: accuracy & confusion matrix (light intro) | How to showcase your project (GitHub/Notebook) | Final recap, Q&A & next steps in AI learning journey

Project: Titanic Survival Prediction (Classification)