Online Live Courses

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

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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

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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

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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

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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

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