Online Live Courses
Applied AI/ML Engineering
Build, Deploy & Scale Intelligent Systems
Course Features:
(No prior experience required — starts from zero)
Duration: 20 weeks
Project: Mentor-guided, hands-on projects covering the full engineering workflow — from training and evaluating ML models to deploying containerized AI applications, building RAG pipelines, and shipping a production AI agent. Every module ends with a real project on your GitHub portfolio
For Whom: Designed for freshers, final-year CS/IT students, and developers looking to move into AI/ML engineering. No prior machine learning knowledge needed — you will go from your first line of Python to deploying production AI systems
Course Summary: This program is built for people who want to engineer AI systems, not just use them. You will train and deploy machine learning models, work with LLMs and RAG pipelines, containerize applications with Docker, deploy to AWS, and build AI agents using LangChain. The program covers 7 parts, 19 modules, and 19+ projects — giving you a complete GitHub portfolio that demonstrates you can build and ship real AI systems. By the end, you have working deployments, not just certificates
Course Duration - 20 Weeks
Data Analytics for Real Business Decisions (SQL | Power BI | Python)
Course Features:
(no prior technical skills required)
Duration: 8-9 weeks
Project: Mentor guided 12-14 - Real-world analytics projects from various industries
For Whom: Anyone who wants to start career in Data Analytics. Ideal for 0 to 6 years of experience
Course Summary: This industry-focused Data Analytics program trains you to solve real business problems using SQL, Power BI, and Python. You will work on retail, marketing, banking, HR, IT service, and supply chain projects, build executive-ready dashboards, master data cleaning and analytics, and graduate with job-ready skills, strong projects, and a GitHub portfolio aligned to industry expectations
Course Duration - 8 Weeks
GenAI & LLM Engineering for Testing Engineers
From Prompts to Production-Ready AI Test Agents
Course Features:
(No prior AI experience required — testing background is sufficient)
Duration: 5-6 weeks
Project: Mentor-guided, hands-on projects covering the full GenAI QA workflow — from prompt engineering and RAG pipelines to deploying a production AI Test Agent. Every module ends with a real mini-project
For Whom: Designed for QA engineers, SDETs, automation testers, and QA leads who want to build AI-powered testing systems. No prior machine learning knowledge needed — you will go from structured prompting to deploying your own AI Test Agent
Course Summary: This program is built for testing engineers who want to engineer AI testing systems, not just use AI tools. You will build a prompt-controlled test case generator, an AI bug triage assistant, a RAG-powered test knowledge base, and a fully deployed AI Test Agent. The program covers 9 modules and 6+ hands-on projects — giving you a working AI QA system you can demonstrate to your team and use in production. By the end, you have a deployed AI Test Agent, not just a certificate.
Course Duration - 6 Weeks
Course Features:
(no prior technical skills required)
Duration: 4-5 weeks
Project: Mentor guided exclusive 6 - Real-world projects from finance Industry
For Whom: Finance and Accounting Professionals
Course Summary: Python, Pandas, Numpy, Matplotlib,Seaborn etc, complete forecating techniques using ARIMA and SARIMA using StatModel and Sklearn, real world projects with github profile alignment