Advanced Certification in AI Data Science with Gen AI

o Python, Variables & Data Types, Functions, Object-Oriented Programming, NumPy, Pandas, Data Manipulation, File Handling, APIs, Jupyter Notebook, Data Preprocessing

Module 2: Mathematics & Statistics for AI

Linear Algebra, Matrices & Vectors, Calculus Basics, Probability, Bayes Theorem, Statistical Analysis, Hypothesis Testing, Correlation, Optimization & Gradient Descent

Module 3: Data Analytics & Visualization

Exploratory Data Analysis, Data Cleaning, Feature Engineering, Data Visualization, Matplotlib, Seaborn, Plotly, Dashboard Concepts, Business Analytics

Module 4: Machine Learning

Supervised & Unsupervised Learning, Regression, Classification, Decision Trees, Random Forest, Clustering, PCA, Model Evaluation, Cross Validation, Hyperparameter Tuning

Module 5: Deep Learning & Neural Networks

Artificial Neural Networks, Activation Functions, Backpropagation, TensorFlow, PyTorch, CNN, RNN, LSTM, Transfer Learning, Deep Learning Applications

Module 6: Natural Language Processing (NLP)

Text Preprocessing, Tokenization, TF-IDF, Word Embeddings, Sentiment Analysis, Text Classification, Named Entity Recognition, Transformer Models, BERT

Module 7: Generative AI & Large Language Models

Generative AI Fundamentals, LLM Architecture, Transformers, Prompt Engineering, OpenAI & Gemini APIs, Embeddings, Vector Databases, RAG Applications, LangChain, AI Chatbot Development

Module 8: Agentic AI & AI Automation

AI Agents, Multi-Agent Systems, AI Workflows, Function Calling, Intelligent Automation, AI Product Design, Human-in-the-Loop Systems, AI Orchestration

Module 9: AI Deployment & MLOps

FastAPI, Streamlit, Model Deployment, Docker Basics, GitHub Integration, Cloud Deployment, Monitoring & Optimization, Responsible AI Practices

Module 10: Real-Time Projects & Capstone

AI Chatbot Projects, Predictive Analytics Systems, Document Intelligence Applications, AI Assistants, Industry Case Studies, Capstone Project Development & Presentation