Basic Course This syllabus provides a foundational understanding of AI and ML concepts, preparing students for further exploration and specialization in the field. Lesson 1: Introduction to AI – Definition and history of AI – Types of AI (Narrow, General, Superintelligence) – Applications and industries impacted by AI Lesson 2: Machine Learning Fundamentals – Introduction to Machine Learning (ML) – Types of ML (Supervised, Unsupervised, Reinforcement Learning) – ML workflow and key concepts Lesson 3: Data Preprocessing – Importance of data quality and preprocessing – Handling missing data, outliers, and feature scaling – Data visualization and exploration Lesson 4: Supervised Learning – Regression and classification problems – Linear Regression, Logistic Regression, Decision Trees – Model evaluation metrics (accuracy, precision, recall, F1 score) Lesson 5: Unsupervised Learning – Clustering (K-Means, Hierarchical Clustering) – Dimensionality reduction (PCA, t-SNE) – Anomaly detection and applications Lesson 6: Neural Networks – Introduction to Neural Networks (NNs) – Feedforward NNs, activation functions, and backpropagation – Basic NN architectures (MLP, CNN, RNN) Lesson 7: Deep Learning – Convolutional Neural Networks (CNNs) for image classification – Recurrent Neural Networks (RNNs) for sequence data – Long Short-Term Memory (LSTM) networks Lesson 8: Natural Language Processing – Text preprocessing and feature extraction – Sentiment analysis, text classification, and topic modeling – Introduction to language models and chatbots Lesson 9: Model Deployment and Ethics – Deploying ML models in production – Model interpretability and explainability – AI ethics, bias, and fairness considerations Lesson 10: Project and Case Studies – Hands-on project: applying AI concepts to a real-world problem – Case studies: AI applications in various industries (healthcare, finance, transportation)

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Colonel Chandrasekhar SM (Retd), M Tech, MBA, Soldier and Technologist, Teacher, carries 32 years of experience of having served in the Indian Army with his stints in Operations, Planning, procurement and Project management. A post Graduate Degree in Engineering and and MBA specialization has added value to his services rendered to the Nation. Soldier by Profession and Technologist by Trade, value addition to all the tasks assigned have been great constructs in the domains of efficiency and effectiveness. Commanded Communication Regiments in Deserts and Mountainous Terrains and resolved all the challenges offered in Battlefield conditions. Understand the importance of applied technology in operations, maintenance and logistics and has a proven record in all the domains. An alumni of the prestigious Defence Services Staff College and mentored highly skilled officers at the Faculty of Doctrine and Tactics carries instructional and communication skill.