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Data Science with AI & ML

Build intelligent ML models with Python, stats & real datasets

  • Course Type
    Data Science & AI
  • Pre-requisites
    Basic computer skills.
    No technical background required.
  • Delivery Mode
    Online/Offline
  • Trainer
    Hrishikesh Jadhao
  • Duration
    6 months
  • Who can enrol?
    ➤ Freshers from any background
    ➤ Non-IT learners planning to enter AI
    ➤ Working professionals seeking a career switch
    ➤ Students interested in Data Science & AI
    ➤ Anyone wanting a future-proof tech career

Course Overview

Become a future-ready Data Science professional with complete training in Python, Machine Learning, Data Analytics, Visualization, Generative AI, LLMs and Agentic AI workflows. Designed for freshers, non-IT learners and working professionals entering the high-growth AI industry. This program trains you in the full Data Science lifecycle: data cleaning, analysis, ML modeling, visualization, AI automation, and Generative AI applications. You will build a strong portfolio of AI-powered projects and work with real datasets used in industry decision-making.

Why Choose Us?

  • Arrow-icon Beginner-friendly and ideal for freshers & non-IT learners
  • Arrow-iconComplete Data Science + GenAI + Agentic AI stack covered
  • Arrow-icon Hands-on training with real business datasets
  • Arrow-iconLearn Python, ML, GenAI, Prompt Engineering, RAG, LLM usage
  • Arrow-icon Real-time AI & data projects included
  • Arrow-iconInternship & Placement assistance included

Skills Covered

    • Arrow-icon Python (pandas, numpy, matplotlib)
    • Arrow-icon Machine Learning Models (Regression, Classification)
    • Arrow-icon SQL for Data Science
    • Arrow-icon Power BI / Tableau
    • Arrow-icon Generative AI (ChatGPT, LLMs, AI Models)
    • Arrow-icon Prompt Engineering Techniques
    • Arrow-icon Agentic AI workflow automation
    • Arrow-icon RAG (Retrieval Augmented Generation)
    • Arrow-icon Data Engineering basics
    • Arrow-icon Mini AI deployment skills

Syllabus Modules

  1. ●  Module 1: Python for Data Science
  2. ●  Module 2: Data Cleaning & Exploratory Data Analysis
  3. ●  Module 3: Machine Learning Fundamentals
  4. ●  Module 4: Data Visualization with Power BI / Tableau
  5. ●  Module 5: Generative AI Fundamentals
  6. ●  Module 6: Large Language Models (LLMs)
  7. ●  Module 7: Prompt Engineering
  8. ●  Module 8: Agentic AI Workflow
  9. ●  Module 9: RAG + AI Integrations
  10. ●  Module 10: Real Projects + Portfolio Building
  11. ●  Module 11: Mock Interviews & Placement Preparation
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