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Data Science & Machine Learning With Generative AI

6-month “Data Science & Machine Learning with Generative AI” Internship Program

Master the tools, theory & techniques behind the AI/ML that’s reshaping the work.This Program Designed to turn learners into job-ready AI professionals.

🚀 Why This Course?

In today’s world, data is gold—but only those who can turn it into insights and intelligent systems will lead. With Generative AI revolutionizing every industry, this course bridges the gap between data science, machine learning, and cutting-edge AI applications.

  • Traditional Data Science is not enough.

  • Generative AI adds creativity and automation to the mix.

  • This course blends real-world data skills + ML mastery + Generative AI tools.

🎯 What You Will Gain

  • 🧠 Solid foundation in Python, Data Analysis, and ML Algorithms

  • 🤖 Experience with Generative AI tools like ChatGPT, Midjourney, Claude, etc.

  • 📊 Real project experience: dashboards, prediction models, AI content engines

  • 💼 Job-ready portfolio with live projects + internship experience

  • 🧩 Critical thinking, problem-solving, and AI storytelling skills

🗓️ Course Structure Overview

PhaseDurationFocus Area
FoundationWeeks 1–4Python, Data Analysis & Tools
Core MLWeeks 5–10Algorithms, Model Building, Metrics
GenAI PowerWeeks 11–16LLMs, AI apps, Prompt Engineering
Live ProjectsMonth 5Real-world team projects
InternshipMonth 6Industry experience, job-ready prep

📚 Week-by-Week Breakdown

📌 Weeks 1–4: Core Foundations

  • Week 1: Python for Data Science
    Data types, functions, NumPy, Pandas, Matplotlib

  • Week 2: Data Wrangling & EDA
    Cleaning, missing values, groupby, visual storytelling

  • Week 3: SQL for Data Analysts
    Queries, joins, aggregations, subqueries

  • Week 4: Git, Jupyter, and Cloud Tools
    Version control, notebooks, Colab, Kaggle workflows

📌 Weeks 5–10: Machine Learning Core

  • Week 5: Intro to ML + Scikit-Learn
    Train/test split, pipelines, metrics, supervised vs unsupervised

  • Week 6: Regression, Classification Models
    Linear, logistic, decision trees, KNN, Naive Bayes

  • Week 7: Feature Engineering + Hyperparameter Tuning
    Grid search, normalization, encoding, imbalance handling

  • Week 8: Model Evaluation & Deployment Basics
    Precision, recall, AUC-ROC, streamlit, flask basics

  • Week 9: Clustering & Recommendation Systems
    KMeans, DBSCAN, Collaborative filtering

  • Week 10: Capstone ML Challenge
    Mini Kaggle-style competition with leaderboard

📌 Weeks 11–16: Generative AI + LLMs

  • Week 11: Intro to GenAI + Prompt Engineering
    OpenAI API, best practices, ChatGPT use cases

  • Week 12: Text & Code Generation
    LangChain, code assistants, GPT agents

  • Week 13: Image & Video Generation
    Midjourney, DALL·E, RunwayML, AI design tools

  • Week 14: AI Chatbots & App Integration
    No-code bots, RAG, Gradio, streamlit integrations

  • Week 15: Responsible AI & Ethics
    Bias, transparency, misuse of generative models

  • Week 16: Portfolio Week
    Finalize personal GitHub, resume, and project page

💻 Month 5: Live Industry Projects

  • Work in teams with mentors to build:

    • Data dashboards

    • Forecasting models

    • Chatbot assistants

    • AI content generators

  • Tools: Streamlit, Hugging Face, LangChain, Python, GitHub

🧑‍💼 Month 6: Internship & Job Readiness

  • Placement in partner startups / AI firms

  • Tasks: data cleaning, reporting, ML model support, chatbot scripts

  • Career prep:

    • Resume + LinkedIn revamp

    • Mock interviews + feedback

    • 1:1 mentorship sessions

  • Final Certification + Letter of Recommendation

📅 Week-wise Course Outline

🔹 Weeks 1–4: Digital & AI Foundations

  • Week 1: Intro to Digital Marketing & AI in Marketing
    Marketing funnels, trends, job roles, future of AI

  • Week 2: Consumer Behavior & Content Psychology
    What makes people click? Emotional triggers, decision-making

  • Week 3: AI Basics for Marketers
    NLP, image recognition, prompt engineering, ChatGPT, Claude, etc.

  • Week 4: SEO + AI Tools
    ChatGPT for SEO, Surfer SEO, Jasper, Frase, Semrush

🔹 Weeks 5–10: Tool Mastery & Campaign Design

  • Week 5: Social Media Marketing + AI Content Automation
    Content calendars, post generation, Canva AI, Copy.ai

  • Week 6: Email Marketing + Personalization with AI
    Mailchimp, Mailmodo, AI for segmentation & targeting

  • Week 7: Performance Marketing + Paid Ads
    Meta Ads, Google Ads + AI-enhanced A/B testing

  • Week 8: Web Analytics & Conversion Optimization
    GA4, Hotjar, Tag Manager + AI to analyze & predict

  • Week 9: Chatbots, Voice AI & Automation
    ManyChat, Chatfuel, Dialogflow for customer journeys

  • Week 10: No-code Marketing Platforms + CRM Integration
    Zapier, Make, Hubspot + lead scoring with AI

🔹 Weeks 11–16: Strategy, Branding, & Job Prep

  • Week 11: Building Funnels & AI-driven Customer Journeys
    From cold to loyal – strategy-backed automation

  • Week 12: Growth Hacking Techniques
    Referral loops, viral strategies, growth case studies

  • Week 13: Branding + Personal Brand on LinkedIn using AI
    Profile building, resume with AI, social proof

  • Week 14: Campaign Simulation Week
    Create a mock brand + run campaigns (solo + group)

  • Week 15: Analytics Presentation Week
    Pitch deck, reporting, insights using data storytelling

  • Week 16: Portfolio Week
    Wrap-up: Compile personal projects into a sharable portfolio

🎯 2-Month Live Project Phase

  • Work with a real brand/startup

  • Create & run full campaigns

  • Get mentorship from real marketers

  • Weekly feedback loops and retrospectives

Leave Us A Message

    Course Duration:

    24 Weeks

    Batch Size/Mode :

    3 - 6 Students
    Online/Offline

    👥 Who Can Join?

    🧑‍🎓 College Students (B.Tech/BCA/BSc/any UG stream)
    👩‍💻 Ideal for those in CS, IT, ECE, Maths, Stats, or aspiring to be in data or AI
    ❌ No prior ML required — we teach from fundamentals
    ✅ Must be committed to learning, building, and thinking big

    Class Time:

    11:00am - 4:00pm / 2h

    Language:

    English,Hinglish

    🔓 Unlock the Power of AI/ML

    AI isn’t coming. It’s already here.
    Learn how it works. Create with it. Make smarter decisions.

     

    👉 Enroll Now

    ✅ Final Outcomes

    • 📁 3+ Industry Projects on GitHub

    • 🧪 1 ML Capstone & 1 Generative AI App

    • 💼 Internship Certificate & LOR

    • 🎯 Job-ready resume and career support

    • 🧠 Confidence to apply for Data Analyst, ML Intern, and AI Assistant roles