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.
Best projects
Image Classification • Predictive Analytics • NLP Chatbot8 weeks
16 lessons4.8 Rating
1800+ StudentsAI & ML
PoweredData
DrivenProgram snapshot
8 weeks • 16 lessons • Project-first machine learning • Completion certificate
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.
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Image Classification System
Build a CNN-powered classifier using OpenCV and TensorFlow. Train on datasets, evaluate accuracy, deploy with real-time predictions.
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Predictive Analytics Dashboard
Process structured data with Pandas, build ML models with Scikit-Learn, create interactive visualizations and forecasts.
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AI-Powered Chatbot
Implement NLP techniques, train on datasets, integrate LLM basics, deploy interactive conversational AI application.