Online Live Courses
Power BI Professional Mastery in 4 Weeks
(Transform Your Analytics Career)
Course Features:
Duration: 4 weeks
Project: Mentor-guided capstone + 2 industry case studies - Real-world dashboard projects from banking, retail, and entertainment sectors
For Whom: Data professionals, Excel power users, analysts, and finance/operations professionals ready to scale into modern Business Intelligence. Ideal for 0 to 8 years of experience
Course Summary: This industry-focused Power BI program trains you to deliver executive-ready dashboards that drive business decisions. You will master end-to-end BI workflows — from data modeling and Power Query transformations to advanced DAX calculations and Power BI Service deployment. Work on banking credit risk monitoring, cafe operations analytics, and multiplex revenue dashboards. Build production-grade reports with proper data models, time intelligence, and row-level security. Graduate with job-ready skills, a portfolio of strategic BI projects, and the confidence to deliver insights that influence C-suite decisions.
Course Duration - 4 Weeks
GenAI and LLM Engineering
From Prompts to Production-Ready AI Agents
Course Features:
(Basic Python and data familiarity required)
Duration: 5-6 weeks
Project: Mentor-guided, hands-on projects focused on GenAI systems, including prompt-controlled assistants, data-grounded RAG pipelines, decision-making agents, and a production-style AI Analyst Agent with deployment exposure
For Whom: Designed for working professionals in analytics, software engineering, or related technical roles (typically 1–10 years of experience) who want to transition into GenAI and AI system engineering
Course Summary: This industry-aligned GenAI & LLM Engineering program trains you to design, control, and deploy real AI systems, not just experiment with tools. You will work with large language models, structured prompt engineering, retrieval-augmented generation (RAG), and AI agents that analyze data and make decisions. The course emphasizes system thinking, reliability, and practical deployment, helping you graduate with credible GenAI projects, a strong technical narrative, and the confidence to build AI solutions aligned with real industry practice
Course Duration - 6 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
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
Python for Financial Data Analysis and Forecasting
Course Features:
(no prior technical skills required)
Duration: 8 - 10 weeks
Project: Mentor guided 12 - Real-world analytics projects from finance Industry
For Whom: Finance and Accounting Professionals
Course Summary: Python (complete course 1), SQL, PowerBI, Gen AI real world projects with github profile alignment
Complete Data Analytics for Finance and Accounting with GenAI
Course Features:
(no prior technical skills required)
Duration: 16-20 weeks
Project: Mentor guided 20+ Real-world analytics projects from varied industries
For Whom: 0 to 5 years of experience who want to get into the world of Data Science and AI tech roles.
Course Summary: Course aims to prepare the student with solid skill-sets required to become data scientist and LLM Engineers. The course is synchronized with the current industry requirements. The course offers comprehensive mentorship, covering profile building, resume preparation, interview readiness, and enhancement of both oral and written communication skills. Not just basic projects but more that 20 real-world projects
Future-Ready Data Science and AI Engineering for the Real World
Python for Data Analysis and Visualizations
Course Features:
🐍 Master Base python (Data Structures, loops, function)
🧪 Hands-on Learning with Real Datasets
📚 Master Popular Libraries like pandas, numpy, matplotlib and seaborn
🧭 Step-by-Step Guidance for Beginners
🛠️ Project-based learning
🌍 Real-word project
📖 Free ebook
Course Duration: 4 weeks