Certification Course · Gen AI-powered Data Science with Machine Learning
Gen AI-powered Data Science with Machine Learning
6 months | Mode - Offline
- Fee
- ₹95,000 + GST
- Schedule
- 6 Months | Mode - Offline
- Seats
- 100
- Enrolled
- 42
- Trainer
- Upgrad
- Rating
- ★ 4.5
100 seats
GL
Overview
About this course
Course Overview:
The program offers a modern, expert-designed curriculum that is fully modular and aligned with the latest industry standards. Learners benefit from:
Live interactive classes with experienced faculty.
Graded assignments to measure progress.
Industry case studies for applied learning.
Hands-on projects that replicate real workplace challenges.
This structured approach ensures learners gain both theoretical knowledge and practical skills, making the curriculum comprehensive and career-focused.
The program offers a modern, expert-designed curriculum that is fully modular and aligned with the latest industry standards. Learners benefit from:
Live interactive classes with experienced faculty.
Graded assignments to measure progress.
Industry case studies for applied learning.
Hands-on projects that replicate real workplace challenges.
This structured approach ensures learners gain both theoretical knowledge and practical skills, making the curriculum comprehensive and career-focused.
Outcomes
What you'll achieve
- 6-Month Intensive, Industry-Built Program
- Masterclasses by IIT faculty and Senior Industry Experts
- Build a Real Portfolio with Industry Projects and Business Case Studies
- Hands-on with Python, SQL, Power BI, ML & GenAI tools
- Placement Support - Interview Prep, CV Reviews and Hiring Partner Network
Curriculum
Download the course curriculum
Voices
Learner testimonials
- Excel For Business Problem-solving (CRISP-DM).
- Advanced Formulas, Logical Functions & Analytics Tools.
- Goal Seek, Scenario Manager & Data Tables.
- GenAI For Formula Generation, KPI Explanation & Summaries.
- End-to-end ETL & Data Modeling.
- DAX Fundamentals to Advanced Use Cases.
- Power BI & Tableau Visual Analytics.
- Data Storytelling With Gen AI-assisted Narratives.
- Relational Databases & ER Modeling.
- Advanced SQL: Joins, Subqueries, Window Functions.
- Query Optimization Using GenAI.
- SQL + Azure Cloud Integration.
- Python Fundamentals, Logic & Data Structures.
- Functional Programming & OOP.
- NumPy, Pandas & Data Visualization.
- EDA Techniques With Genai Support.
- Descriptive & Inferential Statistics.
- Hypothesis Testing, ANOVA & Chi-square.
- Statistical Interpretation Using AI Tools
- 18+ ML Algorithms & ML Pipelines.
- Feature Engineering & Hyperparameter Tuning.
- Model Explainability (SHAP, LIME).
- Deep Learning: CNNS, RNNS, LSTMS.
- Generative AI, RAG & LLM Workflows.
- Prompt Engineering For NLP, Vision & Agents.