Modern Web Application Development

By the end of this course, you'll be able to build and deploy full-featured mobile applications using React Native. You'll go from JavaScript fundamentals to advanced concepts like async programming, OOP, and functional patterns, then apply that foundation to build cross-platform iOS and Android apps with navigation, API integration, state management (Redux/Context), push notifications, offline storage, and CI/CD pipelines including App Store and Play Store submission.

Little Geniuses: Coding, Design & AI Fun Lab

Little Geniuses: Coding, Design & AI Fun Lab

The Little Geniuses Summer Program is a fun and creative learning experience where kids explore computers, games, design, and Artificial Intelligence through exciting hands-on activities. Students will create colorful digital artwork, build animations and games, experiment with beginner-friendly AI tools, and use their imagination to bring ideas to life using platforms like Scratch, Canva, MakeCode, and ChatGPT. The program encourages creativity, problem-solving, teamwork, and confidence while helping kids learn technology in a playful and engaging way.

AI & Game Creators

AI & Game Creators

In this fun and creative summer program, students will learn how to design and build their own Roblox games. From obstacle courses and treasure hunts to survival challenges, kids will explore how games are made while using creativity, teamwork, and problem-solving skills.

Students will create 3D worlds, add cool game actions, and build exciting experiences that friends and family can play. The course is hands-on, beginner-friendly, and focused on learning by making.

No previous coding experience is needed.

Artificial Intelligence and Data Science

AI & Data Science

is a complete 8–10 month training program designed to take students from Python programming fundamentals to advanced AI technologies. The course covers Python, Data Science, Statistics, Machine Learning, Deep Learning, MLOps, Big Data, Cloud Computing, Generative AI, and Agentic AI through practical learning and real-world projects. Students will gain hands-on experience with industry tools such as Pandas, Scikit-learn, TensorFlow, PyTorch, Spark, FastAPI, Docker, LangChain, and vector databases while building portfolio-ready applications including prediction models, AI chatbots, deployment pipelines, and autonomous AI agents.

Python Web Mastery

Python Web Mastery

UI UX Design With AI

UI/UX Design with AI

This 4-month UI/UX Design with AI course is designed to help students master modern user experience and interface design using both traditional design principles and advanced AI-powered workflows. The program covers UX research, Design Thinking, wireframing, prototyping, visual design, design systems, usability testing, and interactive experiences using industry tools such as Figma and AI design assistants. Students will learn how to create intuitive, accessible, and visually engaging digital products while leveraging AI for faster ideation, user research, layout generation, and predictive UX design. By the end of the course, students will build a professional capstone project and portfolio for careers in UI/UX design, product design, and digital experience development.

Devops Engineer

DevOps Engineering

course is designed for beginners and non-technical students who want to start a career in IT and Cloud Computing. The course covers Linux, Web Development basics, Git & GitHub, AWS Cloud, Docker, Jenkins, Terraform, Ansible, Monitoring, and DevOps automation tools through practical hands-on training. Students will learn how to build, deploy, automate, and manage applications using real-world DevOps practices. A final capstone project will help students gain industry-ready experience and practical skills for entry-level DevOps and Cloud roles.

Video Content Creation With AI

Video Content Creation with A

This 4-month Video Content Creation with AI course is designed to help students become professional AI-powered content creators and video editors. The program combines storytelling, video production, AI scripting, editing, audio enhancement, and social media optimization using modern tools such as Google Gemini, Adobe Premiere Pro, Canva AI, ElevenLabs, HeyGen, and Runway ML. Students will learn how to create engaging short-form and long-form content, generate AI avatars and voiceovers, optimize videos for platforms like YouTube, TikTok, and Instagram, and build a professional portfolio for freelancing and content creation careers.

Generative AI & Chatbot

Javascript, Express.js, Node.js, Dialogflow V2, React, Alexa Apps, Mongo DB

Video Animation

Video Animation with AI

This 4-month Audio Video Editing & Animation with AI course is designed to help students master modern video production using both industry-standard editing tools and cutting-edge AI technologies. The program covers cinematic video editing, motion graphics, AI-powered audio enhancement, visual effects, animation, and AI video generation using tools such as Premiere Pro, After Effects, ElevenLabs, Veo, Kling AI, and Topaz Video AI. Students will learn storytelling, color grading, sound design, VFX compositing, AI automation workflows, and social media optimization while building professional portfolio projects for freelancing, content creation, and digital media careers.

Cloud Data Engineering

Cloud Data Engineering — Course Roadmap

This program covers the complete data engineering lifecycle, including data ingestion, transformation, orchestration, and deployment across modern cloud platforms.

The curriculum is structured step-by-step to help you gain both theoretical understanding and hands-on experience.

Program Overview

• Duration: ~36 weeks (~9 months)
• Format: Live instructor-led classes (3 hours each) with recordings available
• Schedule: 2–3 classes per week
• Projects: Real-world projects in every major section
• Support: Community forum + office hours
• Prerequisites: Basic computer literacy (no prior experience required)

What You’ll Learn

• SQL for data querying, transformation, and optimization
• Python for data processing, automation, and ETL pipelines
• Apache Airflow for workflow orchestration
• Docker and CI/CD for deployment and automation
• Snowflake and dbt for modern data warehousing
• Apache Kafka for real-time data streaming
• AWS and Azure for cloud-based data engineering
• Modern AI-assisted development tools and workflows

Course Breakdown

Week 1 — Orientation

• Set up your development environment
• Create and optimize your GitHub profile
• Build and improve your LinkedIn profile
• Understand the complete learning roadmap

SQL (6 Weeks)

Master core and advanced SQL concepts, including:

• Querying and filtering data
• Joins and subqueries
• Window functions
• CTEs and stored procedures
• Indexing and optimization
• Database design fundamentals
• Building a full end-to-end SQL project

Python (6 Weeks)

Learn Python for data engineering workflows:

• Core Python programming
• Functions, OOP, and modules
• Data manipulation using Pandas
• File handling and automation
• APIs and JSON processing
• ETL pipeline development
• Building production-ready projects

Apache Airflow (3 Weeks)

Design and deploy production-grade workflows:

• DAG creation and scheduling
• Workflow orchestration
• Task dependencies and monitoring
• Real-world ETL pipelines
• Airflow deployment on AWS

CI/CD, Docker & Bash (3 Weeks)

Learn deployment and automation fundamentals:

• Docker containerization
• Bash scripting
• Linux fundamentals
• CI/CD pipelines
• GitHub Actions
• Automated deployment workflows

Agentic Vibe Engineering (2 Weeks)

Explore modern AI-powered development:

• AI-assisted coding tools
• Prompt engineering for developers
• Agent-based workflows
• Productivity-focused engineering practices

Snowflake + dbt (5 Weeks)

Build scalable cloud data warehouses:

• Snowflake fundamentals
• Data modeling and warehousing
• dbt transformations
• Testing and documentation
• Production-grade data pipelines
• Analytics engineering concepts

Apache Kafka (3 Weeks)

Develop real-time streaming systems:

• Kafka architecture
• Producers and consumers
• Event-driven systems
• Streaming pipeline development
• Real-time data processing projects

AWS (5 Weeks)

Work with core AWS data engineering services:

• Amazon S3
• AWS Glue
• Amazon Athena
• Amazon Redshift
• AWS Lambda
• IAM and security basics
• Terraform for infrastructure automation

Build scalable cloud-native data pipelines and workflows.

Azure (4 Weeks)

Implement enterprise-grade Azure solutions:

• Medallion architecture
• Azure Databricks
• Azure Synapse
• Microsoft Fabric
• Data Lake concepts
• End-to-end Azure pipeline implementation

Projects You’ll Build

• End-to-end SQL data systems
• Python-based ETL pipelines
• Airflow production workflows
• Dockerized applications with CI/CD
• Snowflake + dbt warehouse solutions
• Kafka streaming systems
• Full AWS cloud data engineering project

Certified Blockchain Developer

Blockchain Developers Track, Solidity