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
Cybersecurity & Ethical Hacking
What you'll learn
Understand cybersecurity fundamentals, threats, and attack types
Install and use Kali Linux for ethical hacking
Perform network scanning using Nmap
Analyze network traffic using Wireshark
Identify and exploit system vulnerabilities
Perform penetration testing using Metasploit Framework
Learn web application security and common vulnerabilities
Protect systems from malware, phishing, and cyber attacks
Understand password cracking techniques and prevention
Apply real-world cybersecurity defense strategies
Free
Cloud Computing (AWS / Azure / GCP)
What you'll learn
Understand cloud computing concepts, architecture, and deployment models
Deploy and manage virtual servers using AWS EC2, Azure VM, and GCP Compute Engine
Configure cloud storage solutions including object storage and block storage
Build scalable and highly available cloud infrastructure
Implement networking using Virtual Private Cloud (VPC), subnets, and load balancers
Deploy and manage databases in the cloud environment
Use cloud security tools including IAM, encryption, and access control
Implement auto scaling, monitoring, and performance optimization
Migrate applications from on-premises infrastructure to the cloud
Work with serverless computing using AWS Lambda and modern cloud services
Free
Full-Stack Web Development
What you'll learn
Build modern, responsive websites using HTML5, CSS3, and JavaScript
Develop interactive user interfaces using React.js
Create backend applications using Node.js and Express.js
Design and manage databases using MongoDB
Build and integrate RESTful APIs
Implement user authentication and authorization systems
Use Git and GitHub for version control and collaboration
Connect frontend and backend to create full stack applications
Deploy applications to live servers and cloud platforms
Build real-world projects to strengthen your developer 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
Free
DevOps & Site Reliability Engineering (SRE)
What you'll learn
Understand DevOps culture, principles, and workflows used in modern software teams
Use Git and GitHub for version control and collaborative development
Build and manage CI/CD pipelines using Jenkins and GitHub Actions
Containerize applications using Docker and manage containers efficiently
Deploy and orchestrate containers using Kubernetes
Provision and manage cloud infrastructure using AWS
Automate infrastructure using Infrastructure as Code (IaC) tools
Monitor applications and infrastructure using Prometheus and Grafana
Implement reliability, availability, and incident management practices
Optimize system performance, scalability, and fault tolerance
