MACHINE LEARNING ALGORITHMS ARCHITECTURE, Big Data in the context of Machine Learning, Machine Learning Types & Algorithm Selection Strategy, Bias and Variance - Trade-off, Machine Learning Strategies for Business Improvement – An Overview, Preparing Data for Optimization in Production Manhours, Supervised Machine Learning Algorithm- Principle and types, Regression algorithm, Classification algorithm, Implementation framework of ML algorithms, Implementation framework of ML algorithms, PRINCIPLES OF UNSUPERVISED MACHINE LEARNING ALGORITHM,
Clustering algorithm, DBSCAN clustering algorithm, DIMENSIONALITY REDUCTION ALGORITHM – PRINCIPLE & IMPLEMENTATION OF PCA, Linear Discriminant Analysis - A Quantitative Approach, Autonomous vehicle embedded with Dimensionality Reduction Algorithm, REINFORCEMENT MACHINE LEARNING ALGORITHM – WITH A PRACTICE APPROCH IN HVAC SYSTEM, MODEL BASED RL
ALGORITHMS – PRINCIPLE AND EXAMPLE WITH DYNA Q ALGORITHM, Paradigm shift in health care diagnosis with reinforcement learning - a review exercise, Model Free Reinforcement learning – exploring policy based methods, DEPLOYMENT OF DEEP Q-LEARNING IN PICK AND PLACE COBOT - An Industrial application of ML, FUNDAMENTALS OF NEURAL NETWORK, DIGIT RECOGNITION USING MLP MODEL – HANDS-ON PRACTICE, GRADIENT DESCENT ALGORITHM- WORKING PRINCIPLE,
BACKPROPAGATION ALGORITHM – WORKING PRINCIPLE, Cross-Entropy cost function and its implementation using MLP, Overfitting and Regularization principles with a hands-on approach, DIGIT RECOGNITION SYSTEM FOR VISUALLY IMPARED – CNN BASED ML ALGORITHM, STOCHASTIC GRADIENT DESCENT ALGORITHM PRINCIPLE AND ANALYSIS USING IRIS DATASET, Simulation of
Neural Networks - Weka tool based exercise, Strategic deployment of shallow neural network for enhancing agriculture - a review exercise, VANISHING GRADIENT PRINCIPLES AND ITS MEASUREMENTS IN SIGMOID ACTIVATION FUNCTION, Unstable Gradient in Complex networks, Unstable Gradient in Complex networks, Introduction to convolutional neural networks, Introduction to convolutional neural networks, Applications of CNN, Generative Network Principles, Introduction to RNN, Properties and Construction of RNN, Implementation of RNN for NLP, Case-Study on Recommendation Systems
Demos on:
Bias and Variance, EDA, Classification on Iris dataset using SVM, Salary Prediction, EV Vehicle Purchasing, Lung Cancer Prediction, K-Means Clustering, DBSCAN Clustering, PCA, Reinforcement Learning, Digit Recognition Using MLP, Backpropagation Algorithm, Cross Entropy, Overfitting and Regularization, Digit Recognition for Visually Impaired, Stochastic Gradient Descent, WEKA Simulation, Vanishing Gradient, Unstable Gradient, Pneumonia Detection and NLP.

IoT General Architecture, IoT Architecture with AI, Case-Study Analysis, Issues and Challenges in IOT with Cloud AI, Revised IOT Architecture with Fog AI and Edge AI, Tiny ML working principle, Tiny ML as SaaS model, High Computing Machine based Edge Architecture, Distributed Training, Compression technique, Case Study-1 on flow sensing with totalizer, Case-Study-2 on Water management in public utilities, Software tools and their scope for AI and ML, Additional software requirements for Tiny ML, Example IDE for ML – Colab, Libraries required for ML, Tensor Flow Library – Principles, Keras Library – Principles, Arduino IDE for Edge Computing, Tensorflow Lite – Principles, Example – ML, Example - ML with ANN, Example - Tiny ML AI based Software development methodologies, Quick survey on the hardware resources, Basics of Arduino Nano BLE Board, Programming with Arduino Nano BLE(ANB), Programming with built-in Sensors in ANB, Design framework for Edge computing in ANB, Sinewave prediction model analysis, Demonstration using ANB, Word Detection model using ANB, Person Detection Model using ANB, Magic Wand model using ANB

Demos on:
Diesel Level Monitoring, Crop Analysis, Edge Impulse, WEKA, Blink, Air Quality Monitoring, Garbage Classification, Gesture Initial Model, Evolution of Software Development Methodologies, Colors Blink, Microphone & IMU (Gesture Recognition), Sine wave prediction, Wake Word and Magic Wand

Basics of Substation, ANN Architecture for Substations, Load Prediction in Substations - A case Study, Geo-spatial database for power infrastructure, Feature Extraction of substation using Deep Learning- A Case study, Power grid stability and secondary substation model, Estimation of unknown secondary substation profile - A case study, Characterization of substation site features-Practitioner approach, CNN based preliminary siting of substation - A Case Study, Substation Device Diagnosis using unsupervised ML algorithm, CNN based Infrared Fault Image Diagnosis - A Case Study, Impact of ML in O&G Industry - A Review, Seismic Data Processing Techniques, Geomodeling Process, ML in Reservoir Engineering, Optimal Production Engineering in O&G Industry, AI in upstream sector of O&G Industry, Advances in AI Technology for O&G Industry, Fundamentals of Data handling in O&G Industry, SOA of big data for O&G Industry ML for Civil Engineering, Cloud Data collection about the Construction Site, Generic ML modelling framework for Civil Engineering Applications, Deep Learning Techniques in Construction Industry, ML approach for Construction Management, CNN based Planetary Lego Brick, AI in Transport Engineering - A Survey, Road Traffic Prediction - Bayesian Approach, ML for Naval Architecture, AI based Wave Height Forecasting - A Case Study

Demos on:
Energy Prediction, Solar Energy Power Generation Analysis, Feature Extraction Substation using Deep Learning, Estimating the Power Grid Stability - A Hands on Approach, Practitioner approach, Fault Detection in Power Line System, Diesel Price Prediction, Salt Dome Detection, Reservoir Simulation, Well Bore Testing in Oil and Gas Industry, Stock Price Prediction for Oil and Gas Industry, Concrete Compressive Strength Prediction, IIoT Data Collection for ML Algorithms, Building Crack Detection, Classification of LEGO Bricks, Road Traffic Prediction and Ship Classification

Automated Vehicle support using ML, Fraud System Diagnosis using ML, Deep learning based shop floor management, Neural networks based ground water quality distribution analysis, Potential applications of AI in Healthcare – Discussion, Image Classification in IoT Devices - Case Study, Remotely Piloted Aircraft - Case Study, AI Products - A survey, Education Quality updates in Design, Development and Delivery using ML, AI impacts in Education, AI open source software libraries, Computer Vision (Image and Video), Language and Language Reasoning, Speech Recognition, Healthcare and Biology, Ethical Challenges in AI, Economy Implications due to AI, Policies and Strategies for AI

Demos on:
Email Spam Detection, Bosch Performance Line, Diabetic Retinopathy, Edge Impulse -Flower, Forest Fire, Graduate admission prediction, Car object detection, Language prediction, Speech recognition, Heart disease prediction and L&T Stock data analysis.