Free
Artificial Intelligence & Machine Learning (AI/ML)
What you'll learn
Understand core concepts of Artificial Intelligence and Machine Learning
Use Python and industry-standard libraries like NumPy, Pandas, and Scikit-Learn
Build supervised and unsupervised machine learning models
Work with real-world datasets, preprocessing, training, and evaluation
Develop recommendation systems and intelligent AI solutions
Create real-world machine learning projects for your portfolio
Free
Data Science & Data Analytics
What you'll learn
Understand the complete data science and data analytics workflow
Use Python and key libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn
Import, clean, manipulate, and analyze real-world datasets
Perform exploratory data analysis and create meaningful visualizations
Apply statistical methods and hypothesis testing
Build predictive models using regression, classification, and clustering
Implement machine learning algorithms using Python
Work with databases and multiple data sources
Perform time series analysis and basic text mining
Build real-world data science projects for your professional portfolio
Free
AI Tools & Generative AI Applications
What you'll learn
Understand fundamentals of AI, Generative AI, and modern AI tools
Use ChatGPT for content creation, automation, coding, and productivity
Master prompt engineering techniques for better AI results
Generate AI images using tools like MidJourney and DALL-E
Use AI tools for business, marketing, and productivity workflows
Automate repetitive tasks using AI-powered platforms
Use AI for coding assistance with tools like GitHub Copilot
Create AI-powered projects and real-world applications
Improve productivity using AI tools for daily professional work
Understand real-world AI use cases across industries
