Course curriculum
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1
Module 2: Introduction to AI
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2
Module 3: Foundations of AI
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3
Module 4: AI Technologies and Algorithms
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4
Module 5: Practical Applications of AI
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5
Module 6: AI in Technology
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6
Module 7: Explainable AI (XAI)
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7
Module 8: AI Ethics
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8
Module 9: Generative AI and Prompt Engineering
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9
Module 10: Fundamentals of ML
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10
Module 11: Data Preprocessing
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11
Module 12: Supervised Learning Regression
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12
Module 13: Regression
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13
Module 14: Classification
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14
Module 15: Unsupervised Learning
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15
Module 16: Reinforcement Learning
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16
Module 17: Model Deployment & MLOps
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17
Module 18: Deep Learning
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18
Module 19: Federated Learning
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19
Module 20: Natural Language Processing
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20
Module 21: Time Series Forecasting
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21
Module 22: Ethical and Advanced Concepts
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22
Module 23: Cloud & AI Services
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23
Module 24: Interactive coding and AI labs
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24
Module 25: ML in Cybersecurity
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25
Module 26: ML Techniques for Cybersecurity
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26
Module 27: Applications of ML in Cybersecurity
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27
Study Material
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Introduction to Artificial Intelligence (AI) Brief history and evolution of AI Current state of AI and future trends Quiz -
Types of AI: Narrow AI, General AI, and Superintelligent AI Major Approaches to AI: Symbolic, Machine Learning, and Hybrid Quiz -
Fundamental Algorithms in AI and ML Introduction to Neural Networks Architecture based Neural Networks ( FNNs, RNNs/LSTM, Transformer) Data processing based Neural Networks ( CNNs, GNNs) Functionality based Neural Networks ( GANs, SNNs) Natural Language Processing (NLP) Computer Vision (CV) Quiz -
AI in Healthcare AI in Business AI in Autonomous Vehicles AI in Entertainment AI in Finance Quiz -
AI with Blockchain AI in Technology AI for Edge computing Quiz -
Basics of XAI Quiz -
Understanding AI Ethics Potential Pitfalls and Controversies in AI Strategies for Responsible AI Deployment Quiz -
Generative AI What is Prompt Engineering? Importance of Prompt Engineering Applications of Prompt Engineering Quiz -
What is Machine Learning? Types of Machine Learning Importance of Data in ML Bias and Variance in ML Curse of Dimensionality Dimensionality Reduction Difference Between AI, ML, and Deep Learning Quiz -
Importing data Data Cleaning Data Transformation Feature Engineering Concepts Feature Scaling and Normalization Feature Extraction Quiz -
Supervised Learning Overfitting vs. Underfitting Quiz -
Linear Regression Polynomial Regression Decision Tree Regression Random Forest Regression Quiz -
Logistic Regression Support Vector Machine Naive Bayes -
Clustering using K-means in Python Hierarchical Clustering Applications of Clustering in Real Life Difference Between Supervised and Unsupervised Learning Quiz -
Reinforcement Learning Concept of Rewards and Penalties in RL Types of RL Algorithms (Value-Based, Policy-Based, Model-Based) Quiz -
Basics of Model Deployment Introduction to MLOps Quiz -
Introduction to Deep Learning Introduction to Optimization Activation Functions in Neural Networks Transformers Quiz -
Federated Learning Quiz -
Natural Language Processing (part 1) Natural Language Processing (part 2) Quiz -
Stationarity in Time Series Time Series Decomposition -
Ethical Concerns in ML (Bias, Fairness, Transparency) Interpretability of ML Models Future Trends in ML AutoML (Automated Machine Learning) Gradient Boosting Quiz -
AI and ML in cloud Quiz -
Interactive AI coding environment Rise of AI augmented coding Quiz -
Role of Machine Learning in Cybersecurity Difference Between Traditional Security and AI-Driven Security Quiz -
Anomaly Detection in Network Security Supervised vs. Unsupervised Learning for Threat Detection Deep Learning for Intrusion Detection Systems (IDS) Behavior-Based Malware Detection Quiz -
Phishing Detection Using ML Spam Filtering and Email Security Fraud Detection in Financial Transactions ML in Identity and Access Management (IAM) Quiz -
Study Material