Certified in Artificial Intelligence & Machine Learning
Course CodeIT-AI-CERT
GroupIT
Overall Duration280:00 H
Module 1 – Python
- Introduction to Python60 Mins
- Python Syntax & Variables60 Mins
- Data Types in Python60 Mins
- Input & Output Operations60 Mins
- Operators in Python90 Mins
- Conditional Statements90 Mins
- Loops in Python120 Mins
- Loop Control Statements90 Mins
- Strings Basics90 Mins
- String Methods90 Mins
- Lists Basics90 Mins
- List Methods90 Mins
- Tuples90 Mins
- Sets90 Mins
- Dictionaries90 Mins
- Functions Basics90 Mins
- Function Arguments90 Mins
- Lambda Functions90 Mins
- Recursion90 Mins
- Modules & Packages90 Mins
- Exception Handling90 Mins
- File Handling Basics90 Mins
- Advanced File Handling90 Mins
- List Comprehension90 Mins
- Dictionary & Set Comprehension90 Mins
- Iterators & Generators90 Mins
- Object-Oriented Programming Basics90 Mins
- Encapsulation90 Mins
- Inheritance90 Mins
- Polymorphism & Abstraction90 Mins
- Advanced OOP Concepts90 Mins
- Regular Expressions90 Mins
- Date & Time Handling90 Mins
- Python Built-in Functions90 Mins
- Virtual Environments & Package Management90 Mins
- Python for Data Handling90 Mins
- Python Performance Optimization90 Mins
- Advanced Python for AI90 Mins
Module 2 – MySQL
- MySQL for AI/DA: Intro60 Mins
- MySQL Environment Setup90 Mins
- MySQL Tables90 Mins
- CRUD - I90 Mins
- CRUD - II90 Mins
- Filtering Data90 Mins
- Aggregate Functions90 Mins
- GROUP BY & HAVING90 Mins
- Joins - I90 Mins
- Joins - II90 Mins
- Subqueries90 Mins
- Analytics Storage90 Mins
Module 3 – Python Libraries – NumPy
- Introduction to NumPy60 Mins
- NumPy Operations90 Mins
- NumPy Math & Stats90 Mins
- Advanced NumPy90 Mins
- NumPy for AI90 Mins
Module 4 – Python Libraries – Pandas
- Introduction to Pandas60 Mins
- Pandas Data Exploration60 Mins
- Data Cleaning - I60 Mins
- Data Cleaning - II60 Mins
- Data Manipulation90 Mins
- GroupBy Operations90 Mins
- Pandas for AI90 Mins
Module 5 – Python Libraries – Matplotlib
- Matplotlib Basics30 Mins
- Matplotlib Charts30 Mins
- Advanced Matplotlib60 Mins
- Statistical Visualization60 Mins
- Matplotlib for AI90 Mins
Module 6 – Python Libraries – Seaborn
- Introduction to Seaborn60 Mins
- Seaborn Distributions60 Mins
- Categorical Plots60 Mins
- Correlation Plots60 Mins
- Seaborn for AI90 Mins
Module 7 – Python Libraries – SciPy
- Introduction to SciPy30 Mins
- Linear Algebra with SciPy60 Mins
- Statistical Functions60 Mins
- SciPy for AI90 Mins
Module 8 – Mathematics & Statistics For AI
- Statistics Basics90 Mins
- Central Tendency & Dispersion60 Mins
- Probability Fundamentals90 Mins
- Random Variables60 Mins
- Correlation & Sampling60 Mins
- CLT & Confidence Intervals60 Mins
- Hypothesis Testing60 Mins
- Statistics for ML90 Mins
Module 9 – Data Preprocessing & Feature Engineering
- Introduction to Data Preprocessing90 Mins
- Handling Missing Values60 Mins
- Handling Duplicate Data & Outliers60 Mins
- Encoding Techniques90 Mins
- Feature Scaling Techniques90 Mins
- Feature Transformation90 Mins
- Feature Selection Techniques90 Mins
- Handling Imbalanced Data90 Mins
- Dimensionality Reduction90 Mins
- Data Splitting & Pipelines90 Mins
Module 10 – Machine Learning
- Introduction to Machine Learning30 Mins
- ML Problem Types30 Mins
- Supervised Learning60 Mins
- Unsupervised Learning90 Mins
- Reinforcement Learning Basics90 Mins
- Linear Regression Basics90 Mins
- Simple Linear Regression90 Mins
- Multiple Linear Regression90 Mins
- Polynomial Regression90 Mins
- Regression Evaluation Metrics90 Mins
- Logistic Regression Basics90 Mins
- Logistic Regression Advanced90 Mins
- K-Nearest Neighbors (KNN)90 Mins
- Support Vector Machine (SVM) Basics90 Mins
- Advanced SVM90 Mins
- Decision Tree Basics90 Mins
- Advanced Decision Trees90 Mins
- Random Forest90 Mins
- Extra Trees Classifier90 Mins
- AdaBoost Algorithm90 Mins
- Gradient Boosting90 Mins
- XGBoost90 Mins
- LightGBM & CatBoost90 Mins
- Naive Bayes Basics90 Mins
- Clustering Basics90 Mins
- K-Means Clustering90 Mins
- Hierarchical Clustering90 Mins
- DBSCAN Clustering90 Mins
- PCA for ML90 Mins
- Model Evaluation Techniques90 Mins
- Cross Validation90 Mins
- Hyperparameter Tuning90 Mins
- Bias-Variance Tradeoff90 Mins
- ML Pipelines90 Mins
Module 11 – Deep Learning
- Introduction to Deep Learning90 Mins
- Artificial Neural Networks Basics90 Mins
- Activation Functions90 Mins
- Loss Functions90 Mins
- Gradient Descent90 Mins
- Backpropagation90 Mins
- ANN Architecture90 Mins
- Deep Neural Networks90 Mins
- TensorFlow Basics90 Mins
- Keras Basics90 Mins
- CNN Basics90 Mins
- Advanced CNN90 Mins
- RNN Basics90 Mins
- LSTM & GRU90 Mins
- Autoencoders90 Mins
- Transfer Learning90 Mins
- Model Evaluation in DL90 Mins
- Deep Learning Optimization90 Mins
Module 12 – Natural Language Processing (NLP)
- Introduction to NLP30 Mins
- Text Preprocessing60 Mins
- Text Cleaning60 Mins
- Text Representation Basics30 Mins
- Word Embeddings60 Mins
- POS Tagging & NER60 Mins
- Sentiment Analysis90 Mins
- Text Classification90 Mins
- Topic Modeling90 Mins
- Sequence Models for NLP90 Mins
- Attention Mechanism60 Mins
- Transformers Basics60 Mins
- BERT Basics90 Mins
- NLP Pipelines90 Mins
Module 13 – Large Language Models (LLM)
- Introduction to LLMs90 Mins
- Transformer Architecture90 Mins
- Popular LLMs90 Mins
- Tokenization in LLMs90 Mins
- Fine Tuning Basics90 Mins
- Embeddings & Vector Databases90 Mins
- Retrieval Augmented Generation (RAG)90 Mins
- LLM Evaluation90 Mins
- Open Source LLMs90 Mins
- Building LLM Applications90 Mins
Module 14 – Generative AI
- Introduction to Generative AI90 Mins
- Foundation Models90 Mins
- Text Generation90 Mins
- Image Generation Basics90 Mins
- Audio & Video Generation90 Mins
- Prompt-based Generation90 Mins
- Personalization in GenAI90 Mins
- Multimodal AI90 Mins
- Ethical AI & Risks90 Mins
- GenAI Applications90 Mins
Module 15 – Prompt Engineering
- Introduction to Prompt Engineering90 Mins
- Prompt Fundamentals90 Mins
- Types of Prompts90 Mins
- Prompt Components90 Mins
- Prompt Writing Techniques90 Mins
- System, User & Assistant Prompts90 Mins
- Chain of Thought Prompting90 Mins
- Advanced Prompting Techniques90 Mins
- Prompt Optimization90 Mins
- Prompt Evaluation90 Mins
- Domain-Specific Prompting90 Mins
- Multimodal Prompting90 Mins
- Prompt Templates90 Mins
- Prompt Safety & Ethics90 Mins
- Prompt Engineering Frameworks90 Mins
Module 16 – MLOps & Deployment Basics
- Introduction to MLOps30 Mins
- ML Pipeline Basics60 Mins
- Model Versioning60 Mins
- Data Versioning60 Mins
- Model Deployment Basics60 Mins
- APIs for ML Models60 Mins
- Docker for ML60 Mins
- CI/CD for ML60 Mins
- Monitoring ML Systems90 Mins
- Production AI Systems60 Mins