Data Science, Data Analysis & AI Diploma
Dive deep into the world of Artificial Intelligence and explore machine learning, neural networks and intelligent automation through hands-on projects and real-world tools.
Introduction to AI
- What is Artificial Intelligence
- Definition of Large Language Models
- What is Generative AI
- AI in the market
Data Analysis for AI
- Fundamentals of Data Analysis
- Structured vs Unstructured Data
- Data Analysis Workflow
- Industry Applications
Programming with Python
- Intro to Programming
- Python Basics (Variables, loops, conditions)
- Functions with Python
- Data Structures
- Python Libraries: NumPy, Pandas, Matplotlib, Sklearn
Data Handling
- Reading Data from Files
- Data Preprocessing
- Data Visualization
- Feature Selection
SQL and Databases
- Intro to Databases
- SQL Queries & SELECT
- Filtering, Aggregation, Joins
- Subqueries and CTEs
- Data Cleaning in SQL
Data Visualization with Power BI
- Business Intelligence Concepts
- Power BI Data Modeling
- Interactive Dashboards
- DAX Calculations
- Integrating SQL & Python
Machine Learning
- Supervised Learning
- Regression & Classification
- Model Evaluation
- Unsupervised Learning & Clustering
Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks
- Large Language Models
- Transfer Learning
- Object Detection (YOLO)
MLOps
- From Notebook to Production
- Model Deployment & Monitoring
- CI/CD for Machine Learning
- Model Tracking
- Automating ML Lifecycle
LangChain & LangGraph
- Building LLM Applications
- Connecting Models with APIs & Tools
- Designing Multi-Agent Systems
- RAG Systems
- AI Chatbots
Soft Skills
- Interview Skills
- Career Planning
- LinkedIn Optimization
- Presenting Ideas
- Freelancing
Graduation
- Final Project Presentation
- Certificate Ceremony
