🎓 AI Vidya 12-Month AI & ML Training + Internship Program

From Fundamentals to Full-Stack AI Professional

👉 Apply for the 12-Month Program

📘 Program Overview

AI Vidya 12-Month AI & ML Training

Duration	Structure	Key Outcome
12 Months	3 Phases (Foundation → Advanced → Specialization + Internship)	Become job-ready AI/ML Engineer with full portfolio & internship experience

Total Duration: 48 weeks (approx. 12 months)

Mode: Online + Mentor-Led Labs

Outcome: AI Vidya Certification + Internship + Job Assistance

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🔹 Phase 1: Foundations of AI & Data Science (Months 1–3)

🧠 Goal: Build strong fundamentals in programming, data, and mathematics.

Month 1: Python Programming & Math

• Python Programming – Data types, loops, functions, OOP

• Numpy, Pandas, and Matplotlib

• Basic Statistics, Probability, and Linear Algebra for ML

• Mini Project: Data Profiler & Visualization Dashboard

Month 2: Data Analysis & EDA

• Data Cleaning, Feature Engineering

• Exploratory Data Analysis with Pandas & Seaborn

• Correlation, Hypothesis Testing, Outlier Detection

• Project: Netflix or Zomato Data Analysis

Month 3: Core Machine Learning

• Supervised & Unsupervised Learning

• Linear / Logistic Regression, Decision Trees, Random Forest, SVM

• Cross-validation, Bias-Variance, Metrics (Accuracy, F1, ROC)

• Project: House Price Prediction + Customer Segmentation

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🔹 Phase 2: Advanced ML, Deep Learning & MLOps (Months 4–6)

⚙️ Goal: Develop hands-on mastery of ML systems, deep learning, and deployment.

Month 4: Advanced Machine Learning

• Ensemble Techniques (XGBoost, LightGBM, CatBoost)

• Hyperparameter Tuning

• Feature Importance, Explainable AI (SHAP, LIME)

• Project: Loan Approval or Churn Prediction

Month 5: Neural Networks & Deep Learning

• ANN Architecture & Backpropagation

• TensorFlow / Keras for Deep Learning

• CNN for Image Recognition

• Mini Project: MNIST Digit Recognition

Month 6: NLP & Transformer Models

• NLP Fundamentals (Tokenization, TF-IDF, Word2Vec)

• Sentiment Analysis, Text Classification

• Transformers: BERT, GPT Basics, HuggingFace Pipelines

• Project: Sentiment Analyzer or Resume Screening Bot

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🔹 Phase 3: Specialization Tracks (Months 7–9)

🚀 Goal: Choose and master a domain specialization through real-world case studies.

Month 7: AI for Computer Vision (Track 1)

• CNNs, Transfer Learning (ResNet, VGG, EfficientNet)

• Object Detection (YOLO, Faster R-CNN)

• Image Augmentation, Data Annotation

• Project: Defect Detection or Face Recognition System

Month 8: AI for NLP / GenAI (Track 2)

• Transformers Deep Dive – BERT, GPT, T5

• Text Generation, Summarization, and Chatbots

• Introduction to LangChain, OpenAI APIs, and RAG systems

• Project: GenAI Chatbot with RAG (Retrieval-Augmented Generation)

Month 9: Data Engineering + MLOps

• Data Pipelines: ETL, Airflow, Kafka

• Model Deployment with Flask, FastAPI, and Streamlit

• Docker, CI/CD, and Model Monitoring

• Project: End-to-End ML App on AWS or GCP

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🔹 Phase 4: Capstone & Internship (Months 10–12)

🎯 Goal: Apply everything learned in a professional AI project and internship.

Month 10: Capstone Project Phase I

• Project Proposal + Dataset Identification

• Real-world mentorship (AI Vidya + Industry Partner)

• Weekly reviews & sprint planning

• Example Themes:

  • Predictive Analytics for Real Estate / Finance

  • AI-Powered Recommendation System

  • Conversational AI / Generative AI Assistant

Month 11: Internship & Industry Collaboration

• Work with AI Vidya Partner Startups (RiVirtual, iTester, etc.)

• Internship Duration: 8–10 weeks (Flexible)

• Roles: AI Intern, Data Analyst Intern, ML Ops Trainee

• Deliverables:

  • Weekly progress reports

  • Final demo presentation

  • Industry mentor feedback

Month 12: Portfolio, Career & Demo Day

• Resume & LinkedIn Optimization

• Mock Interviews (Technical + HR)

• GitHub Portfolio Review

• AI Vidya Demo Day: Present Capstone Project to mentors & hiring partners

• Outcome: Internship Certificate + Job Readiness Badge

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🧩 Key Deliverables

✅ 12+ Hands-On Projects

✅ 1 Capstone Project

✅ 1 Industry Internship

✅ GitHub Portfolio & Resume Review

✅ AI Vidya Certificate (Verified via Blockchain)

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💬 Mentorship & Learning Support

• Weekly Mentor Connect Sessions

• 1:1 Project Review Calls

• Career Development Workshops

• Discord Community for Peer Learning

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💼 Career Outcomes

After completion, learners can apply for:

• Data Analyst / ML Engineer / AI Intern Roles

• AI Research Assistant (for academic paths)

• Junior MLOps Engineer / GenAI Developer

• Startup / Freelance AI Projects

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🌟 Bonus Modules (Optional Advanced Tracks)

• Generative AI Applications with OpenAI, Gemini, Claude

• Reinforcement Learning with Gym

• Autonomous Agents & AI Workflow Automation

• AI Ethics, Bias, and Model Governance

Learn from experts, build real AI projects, and land your dream role — start your journey today.

👉 Apply for the 12-Month Program