🎓 AI Vidya 6-Month Advanced AI & ML Program

From Advanced ML to Industry-Ready AI Deployment

Join the Advanced AI Program

🧭 Program Overview

AI Vidya 6-Month Advanced AI & ML Program

Duration	6 Months (24 Weeks)
Level	Advanced
Mode	Hybrid (Mentor-led + Self-paced + Projects)
Outcome	Capstone Project + Certification + Internship Eligibility

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: Machine Learning Mastery (Month 1–2)

Goal: Strengthen applied ML concepts, ensemble learning, and data pipeline design.

Month 1 – Advanced Machine Learning & Data Pipelines

• Review of ML workflow: feature selection, tuning, cross-validation

• Ensemble methods: Random Forest, XGBoost, LightGBM, CatBoost

• Model explainability (SHAP, LIME)

• Data pipelines (ETL concepts, scikit-learn pipelines)

• Mini Project: Customer Churn Prediction or Loan Default Classifier

Month 2 – Feature Engineering & Model Optimization

• Advanced feature engineering and transformations

• Outlier handling, PCA, dimensionality reduction

• Hyperparameter tuning (Grid, Random, Bayesian Search)

• Project: Predictive Analytics for Financial Risk or HR Attrition

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🔹 Phase 2: Deep Learning & Computer Vision (Month 3–4)

Goal: Build deep learning expertise and apply it to real-world computer vision problems.

Month 3 – Deep Learning Foundations

• Neural Networks, Backpropagation, Gradient Descent

• Keras/TensorFlow workflows

• CNN architectures (LeNet, ResNet, VGG)

• Image Augmentation & Transfer Learning

• Mini Project: Image Classification (e.g., Dog vs. Cat / Vehicle Detection)

Month 4 – Computer Vision & Advanced Applications

• Object Detection (YOLOv8, Faster R-CNN)

• Image Segmentation (U-Net, Mask R-CNN)

• Generative AI for Images (Diffusion Models Overview)

• Project: Defect Detection System or Traffic Monitoring AI

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🔹 Phase 3: NLP, GenAI & MLOps (Month 5–6)

Goal: Learn large language models, GenAI workflows, and deploy production-ready AI systems.

Month 5 – NLP & Generative AI

• NLP preprocessing, embeddings (Word2Vec, BERT)

• Transformers & Large Language Models (LLMs)

• Hugging Face and LangChain for Chatbot & Summarization tasks

• Prompt Engineering & RAG (Retrieval-Augmented Generation)

• Project: Resume Screening Bot or Sentiment Analyzer using Transformers

Month 6 – MLOps, Deployment & Capstone

• Model Deployment (Flask, FastAPI, Streamlit)

• Dockerization, Git, and CI/CD basics

• Model monitoring, version control, and cloud (AWS/GCP) integration

• Capstone: End-to-End AI Product (choose one)

  • Chatbot with LangChain

  • Vision-based Detection AI

  • Predictive Analytics Dashboard

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🧩 Key Deliverables

6+ Hands-on Projects

• 1 Capstone Project

• GitHub Portfolio

• AI Vidya Advanced AI Certificate

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💼 Career Outcomes

After this 6-month program, learners can apply for:

• ML Engineer / AI Developer / MLOps Associate

• Data Scientist (Applied AI Focus)

• AI Internship / GenAI Specialist Roles

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🧠 Bonus Add-ons

• Access to AI Vidya Discord Mentor Community

• Weekly live sessions with industry mentors

• Internship pathway with RiVirtual, iTester, and AI Vidya network

Build, deploy, and scale — become an industry-ready AI professional in just 6 months.

Join the Advanced AI Program