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Everything Bundled
What comes with your seat.
12 items total
MITS Internship
Structure
Sprint-based Workflow
Real Agile sprints — standups, deliverables, deadlines. Identical to how product teams operate.
🤝
Support
Blended Team + Tech Leads
Peer teams, dedicated tech lead mentorship, industry expert sessions every alternate Sunday.
🏆
Prize
₹50K Prize Pool
Leaderboard competitions with real cash prizes for top performers every cohort.
🔗
Profile
Verifiable Public Profile + Certificate
Permanent, shareable, recruiter-readable — with your work, scores, and certification.
📣
Placement
HR Circle Shortlisting
Top performers surface directly to hiring partners. No cold applications needed.
📋
Weekly
Resume + LinkedIn Every Saturday
Reviews, LinkedIn optimization, and mindset coaching — every week without exception.
Free Advanced Course — Your Choice of Track
📚
Content
60 Full Chapters
Complete advanced tier, zero locked content. Every module from fundamentals to production.
₹13,999 free
🛠
Projects
14 Hands-on Projects
Weekly mini projects + 3 capstone projects deployed with live demos and walkthroughs.
Free
📝
Assessment
580+ Practice Questions
Module quizzes, coding challenges, theory tests, project evaluations, and capstone defense.
Free
🎤
Interview
250+ Interview Prep Questions
Role-specific pack with full solutions — Data Science or Generative AI engineer track.
Free
🌐
Portfolio
GitHub Portfolio + Live Demos
Every capstone ships with README, live deployment, and a recorded video walkthrough.
Free
🛡
AI Safety
AI Safety & Ethics (AI track)
Red-teaming, alignment, hallucination control, bias detection — production-grade coverage.
Free
Full Course Content
Advanced Tier.
Both tracks.
25
Chapters
8+
Projects
580+
Questions
3mo
Estimated
Included Free
01
Foundation & Career Roadmap
2 chapters · DS landscape, career paths, setup
01What is Data Science? — Roles, 2026 scope, roadmap, LinkedIn optimization
02Jumpstart to Data Science — Resources, environment setup, industry expectations
02
Python Programming Mastery
7 chapters · OOP, data structures, 100+ practice problems
03Python Basics — Variables, loops, functions, error handling
04Data Structures — Lists, Sets, Tuples, Dictionaries
05Data Structure Functions — Comprehensions, built-in methods
06Object-Oriented Programming — Classes, inheritance, encapsulation
07Python Theory — 50 conceptual questions
08Python Practice — 50 coding problems Advanced only
09Python Libraries — NumPy, Pandas overview, Colab + Jupyter setup
03
Data Manipulation — Pandas & NumPy
3 chapters · EDA, cleaning, vectorized operations
10Pandas Part 1 — Kaggle, sklearn intro, 50 practice Qs
11Pandas Part 2 — Cleaning, EDA, grouping, SQL integration
12NumPy — Arrays, broadcasting, linear algebra, vectorized ops
04–06
Visualization + Major Projects I & II
8 chapters · YouTube Analytics + Social Media Ad Performance
15Visualization Part 1 — Matplotlib, Seaborn, histograms, heatmaps
16Visualization Part 2 — Storytelling, box plots, time series
17–18Major Project I — YouTube Analytics (trends, engagement, geography) Project
19Mini Project — Streamlit/Plotly Interactive Dashboard Mini
20–21Major Project II — Social Media Ad Performance, CTR prediction Project
07
Statistics & Probability
7 chapters · A/B testing, Bayesian stats, 50 practice Qs
22Fundamentals — Mean, median, variance, distributions
23Probability — Bayes theorem, conditional probability, Poisson
24Correlation vs Causation — Biases, Simpson's paradox
25–26Implementation — Python stats libraries, A/B testing design
27Advanced — Multi-armed bandit, Bayesian stats, time series intro
2850 Practice Questions — Theory + practical + interview-style
08–09
Machine Learning — Complete Advanced
10 chapters · Ensemble, Deep Learning, Feature Engineering, 150 Qs
29Intro to ML — Supervised, Regression, KNN, Decision Trees
30Unsupervised Learning — K-means, DBSCAN, PCA, t-SNE
31–32Model Evaluation + Scikit-learn — Cross-val, ROC, GridSearchCV, pipelines
33Ensemble Methods — XGBoost, LightGBM, Random Forests Advanced only
34Neural Networks + Deep Learning — CNN, RNN, LSTM, Keras Advanced only
35–36Feature Engineering + Advanced — SMOTE, SHAP, Regularization Advanced only
37–39ML Practice — 150 questions across basic, intermediate, advanced tiers
10–14
Mega Projects + Cloud + Deployment
Sports Analytics · Medical Imaging · Recommendation System · AWS/Docker
40–41Sports Analytics — Player Similarity Dashboard Mini
42–43Mega Project — Medical Imaging Classifier (CNN + Transfer Learning) Mega
44–45Mega Project — Hybrid Recommendation System with Deep Learning Mega
46–47Big Data + Cloud — Spark, Hadoop, AWS SageMaker, Google BigQuery
48–49Deployment + Git — Flask, Docker, REST APIs, Streamlit, GitHub portfolio
15
Capstone Projects
3 capstones · Portfolio-ready · Deployed · Presented
50Capstone 1 — Resume Recommendation System (NLP-powered) Capstone
51Capstone 2 — Bias & Fairness Dashboard for AI Models Capstone
52Capstone 3 — Ethical AI Investment Analyzer (ESG scoring) Capstone
60
Chapters
14
Projects
580+
Questions
3mo
Estimated
Included Free
01
Build Your First Chatbot
5 chapters · LLM Day 1, Prompt Engineering, Q&A Bot
01Course Kickoff — Install Python, run Llama-3.1-8B Day 1
02AI Landscape 2026 — Classic ML vs transformer era, live demos
03Prompt Engineering — Zero-shot, few-shot, chain-of-thought, role prompting
04Build Chatbot — Hugging Face inference pipeline, chat loop
05Mini Project — ChatGPT-lite Q&A Bot (Wikipedia retrieval) Mini
02
Embeddings — The Math Behind the Magic
5 chapters · Sentence Transformers, FAISS, Semantic Search
06Why LLMs Understand Text — Tokens to dense vectors, semantic meaning
07Hands-on Sentence Transformers — Generate and compare semantic vectors
08Visualize Embeddings 2D — t-SNE, UMAP, cluster interpretation
09FAISS Similarity Search — Build index, query top-k similar items
10Mini Project — AI Movie Plot Search Engine Mini
03–04
Classic ML + Neural Networks
10 chapters · Supervised learning, backprop, GPT reverse-engineering
11–14Supervised/Unsupervised, Classification, Spam detection (DistilBERT vs LogReg)
15Mini Project — Classic vs Modern Spam Detector Mini
16–19Neurons, Backpropagation (animated), Mini NN from Scratch, Next-word Predictor
20Mini Project — Tiny Harry Potter Fanfic Generator Mini
05–06
Computer Vision + Transfer Learning
10 chapters · CNNs, ResNet, MobileNet, fun AI apps
21–24CNNs — Filters, MNIST, CIFAR-10, data augmentation
25Mini Project — AI Selfie Emotion Detector Mini
26–29Transfer Learning — ResNet fine-tuning, Marvel vs DC, MobileNet
30Mini Project — AI Meme Classifier (ResNet) Mini
07–08
NLP Evolution + Transformers in Depth
10 chapters · RNNs, BERT, T5, GPT, Summarization
31–34Word2Vec, RNNs/LSTMs (animated), character-level gen, RNN vs Transformer
35Mini Project — AI Joke Generator (RNN on joke dataset) Mini
36–39BERT/GPT/T5 — Translation (MarianMT), Summarization, Sentiment
40Mini Project — AI News Summarizer with Streamlit Mini
09
LLMs — Advanced Fine-tuning
5 chapters · LoRA, QLoRA, WhatsApp personal fine-tune
41How GPT Works — Autoregressive gen, token prediction, scaling laws
42Fine-tuning vs LoRA vs Prompt-tuning — trade-offs, QLoRA on consumer GPU
43–44Fine-tune on FAQ + Train chatbot on WhatsApp export
45Mini Project — Personalized AI Twin (LoRA fine-tuned chatbot) Advanced
10–11
RAG Systems — Foundations + Production
10 chapters · FAISS, chunking, hallucination control, Legal RAG
46–49Dense retrieval, FAISS indexing, chunking strategies, Retrieve → Augment → Generate
50Mini Project — AI Study Assistant (upload notes → ask questions) Advanced
51–54Production RAG pipeline, hallucination prevention, multi-doc, Legal chatbot
55Mini Project — AI Lawyer Assistant (contract Q&A with RAG) Advanced
12
Capstone + Deployment
5 chapters · FastAPI, Streamlit, GitHub, 3 Capstones
56–57MLOps Basics + FastAPI/Streamlit — Quantization, serving, cloud deploy
58Capstone — AI Tutor (personalized Q&A from uploaded notes) Capstone
59Capstone — AI Resume Reviewer + Job Matcher (RAG) Capstone
60Capstone — AI Caption & Hashtag Generator for Social Media Capstone
Hands-on Work
What you'll actually ship.
01
Data Exploration Dashboard
EDA deep dive with Streamlit/Plotly interactive interface.
Mini
02
YouTube Analytics
Trend analysis across categories, engagement, geography, word clouds.
Major
03
Social Media Ad Performance
ML-powered CTR prediction with demographic insights dashboard.
Major
04
Sports Analytics Platform
Player similarity finder with cosine distance and clustering.
Mini
05
Medical Imaging Classifier
CNN + Transfer Learning (VGG, ResNet) with ethical AI layer.
Mega
06
Hybrid Recommendation System
Neural collaborative filtering, cold-start handling, A/B testing.
Mega
07
Resume Recommendation AI
NLP-powered career advisor with skill gap identification.
Capstone
08
Bias & Fairness Dashboard
Demographic parity, equal opportunity metrics, bias mitigation tools.
Capstone
09
Ethical AI Investment Analyzer
ESG-based portfolio recommendations with sentiment analysis.
Capstone
01
ChatGPT-lite Q&A Bot
LLM chatbot on Wikipedia or course documents.
Mini
02
AI Movie Search Engine
Semantic search with embeddings + FAISS on movie plots.
Mini
03
Classic vs Modern Spam Detector
DistilBERT vs Logistic Regression — empirical face-off.
Mini
04
Harry Potter Fanfic Generator
GPT-style text gen from scratch with temperature control.
Mini
05
AI Selfie Emotion Detector
Classify emotions from webcam selfies with CNN.
Mini
06
AI Meme Classifier
Transfer learning with ResNet to classify meme categories.
Mini
07
AI Joke Generator
RNN trained on joke dataset, compared with transformer output.
Mini
08
AI News Summarizer
T5-based summarizer with Streamlit interactive interface.
Mini
09
Personalized AI Twin
LoRA fine-tune on your WhatsApp data — chat like you.
Advanced
10
AI Study Assistant
Upload notes → ask questions. Full RAG Q&A system.
Advanced
11
AI Lawyer Assistant
Legal document RAG with accuracy & safety focus.
Advanced
12
AI Tutor
Personalized learning Q&A with uploaded study material.
Capstone
13
AI Resume Reviewer
Job matching with RAG — skill gap + fit analysis.
Capstone
14
AI Caption Generator
Social media content creator — captions + hashtags.
Capstone
Career Outcomes
Roles you'll be ready for.
RoleSalary RangeCore Skills
Data Scientist₹6 – ₹12 LPAPython, ML, Statistics, SQL, Cloud
Machine Learning Engineer₹7 – ₹14 LPADeep Learning, MLOps, Deployment
AI Research Associate₹6 – ₹11 LPAResearch, Advanced Math, Python
Junior Data Science Manager₹8 – ₹15 LPALeadership, ML, Business Acumen
Associate Solutions Architect₹7 – ₹13 LPACloud, System Design, ML
Business Intelligence Analyst₹4.5 – ₹9 LPASQL, Dashboards, Statistics
AI/ML Technical Lead₹9 – ₹18 LPAArchitecture, Team Leadership
Freelance AI Consultant₹5 – ₹10 LPAEnd-to-end DS, Client Management
RoleSalary RangeCore Skills
Junior Generative AI Engineer₹6 – ₹12 LPALLMs, RAG, Fine-tuning, FastAPI
Associate LLM Engineer₹7 – ₹14 LPALoRA/QLoRA, Quantization, vLLM
AI Product Developer₹5 – ₹10 LPAPrompt Engineering, RAG, Streamlit
AI Research Associate₹6 – ₹11 LPATransformers, Safety, Evaluation
MLOps Associate₹6 – ₹12 LPADeployment, Docker, FastAPI
AI Safety Analyst₹7 – ₹13 LPARed-teaming, Alignment, Ethics
Computer Vision Engineer₹7 – ₹13 LPACNNs, Transfer Learning, PyTorch
NLP / Transformers Specialist₹7 – ₹14 LPABERT, GPT, Fine-tuning, Generation
Practice & Assessment
580+ questions.
Both courses.
580+
Total questions per course
Weekly module quizzes
Coding challenges
Theory deep dives
Project-based evaluations
Capstone defense
250+
Interview prep questions
Technical coding challenges
Conceptual ML/AI questions
System design scenarios
RAG & fine-tuning (AI track)
Behavioral interview guidance
80+
In-video solved examples
Step-by-step walkthroughs
Real interview simulations
Code review sessions
Portfolio review workshops
Expert AMA sessions
Reserve Your Seat
One price. Everything included.
97 seats · May 2026
BridgeGap MITS — May–June 2026
97 Seats Available
College-friendly Schedule
2-Month Virtual InternshipSprint-based · Agile standups · Real deliverables
₹12,000
Advanced DS or Modern AI Course60 chapters · 14 projects · 580+ Qs — your choice
₹13,999
FREE
580+ Assessment QuestionsQuizzes, coding, capstone defense
₹3,000
FREE
250+ Interview Prep PackRole-specific with full solutions
₹4,000
FREE
Blended Team + Tech Lead Mentorship
₹5,000
FREE
₹50K Prize Pool Eligibility
Included
HR Circle Shortlisting
Included
Resume + LinkedIn Every Saturday
Included
Verifiable Public Profile + Certificate
Included
Industry Expert Sessions (alt. Sundays)
Included
Total (you pay)
₹40,000+
₹15,000
Standard Pricing
Reserve Your Seat →
EMI: ₹2,667 × 3 months · No hidden fees
Early Believer · First 20 Seats Only
₹12,999
₹15,000
17
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Also included free
Full Advanced course (₹13,999 value)
3 deployed capstone projects + live demos
GitHub portfolio + recorded walkthroughs
Founding member badge on profile