AI & Machine Learning • 8 weeks

Master AI algorithms and deploy real ML projects

Learn Python fundamentals, AI algorithms, data training, LLMs, and build industry-ready projects with OpenCV, Pandas, and Scikit-Learn. Earn perks and a completion certificate.

AI and Machine Learning

Best projects

Image Classification • Predictive Analytics • NLP Chatbot

8 weeks

16 lessons

4.8 Rating

1800+ Students

AI & ML

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Program snapshot

8 weeks • 16 lessons • Project-first machine learning • Completion certificate

Duration 8 weeks • 16 lessons
Format ML algorithms, data processing, neural networks, LLM implementation
Tech Stack Python • OpenCV • Pandas • Scikit-Learn • TensorFlow basics
Certificate Issued on successful completion

Modules & timeline

Expandable weeks give a quick preview of lessons and deliverables.

Week 1: Python Fundamentals & Setup

Variables, data types, control flow, functions, libraries installation. Setting up data science environment.

Week 2: Data Manipulation with Pandas

DataFrames, data cleaning, exploratory data analysis, visualization techniques.

Week 3: Machine Learning Basics

Supervised vs unsupervised learning, classification, regression, evaluation metrics.

Week 4: Scikit-Learn Mastery

Decision trees, random forests, SVM, clustering algorithms, model validation.

Week 5: Deep Learning Foundations

Neural networks, activation functions, backpropagation, deep learning frameworks introduction.

Week 6: Computer Vision with OpenCV

Image processing, feature detection, object detection, convolutional neural networks.

Week 7: Large Language Models & NLP

Text preprocessing, tokenization, embeddings, LLM basics, transformer architectures.

Week 8: Project Deploy & Optimization

Model optimization, deployment strategies, performance tuning, project demonstrations.

Best projects

AI/ML project trilogy

Build three production-level projects combining computer vision, predictive analytics, and natural language processing.

Computer Vision Data Analytics NLP