Data Science, Data Analysis & AI Diploma
Learn Python, SQL, Power BI, machine learning, deep learning, and LLM apps through hands-on, real-world projects.
The diploma path
Twelve modules, each building on the last. Every module ends with a hands-on project.
Foundations, understand AI and how data drives it
Introduction to AI
What AI is, and why it matters now.
- Artificial Intelligence: core ideas in plain language
- Large Language Models: how ChatGPT-style models work
- Generative AI: creating text, images, and code
- AI in the market: real jobs, tools, and industries
Data Analysis for AI
Data is the fuel. Learn to read it.
- Fundamentals: what data analysis really answers
- Data types: structured vs unstructured data
- The workflow: question, collect, clean, analyze, share
- Industry applications: retail, finance, health, marketing
Code & data, the core skills every data professional needs
Programming with Python
The language of data and AI.
- Intro to programming: how computers follow instructions
- Python basics: variables, loops, conditions
- Functions: write reusable, clean code
- Data structures: lists, dictionaries, sets, tuples
- Key libraries: NumPy, Pandas, Matplotlib, Scikit-learn
Data Handling
Turn messy data into model-ready data.
- Reading data: CSV, Excel, and other files
- Preprocessing: missing values, outliers, encoding
- Visualization: charts that reveal patterns
- Feature selection: keep what drives results
SQL and Databases
Ask questions directly to your data.
- Databases: how business data is stored
- Queries: SELECT, filtering, sorting
- Aggregation & joins: combine and summarize tables
- Subqueries & CTEs: clean, advanced queries
- Data cleaning in SQL: fix data at the source
Insights, turn data into decisions
Data Visualization with Power BI
Dashboards that decision-makers love.
- BI concepts: KPIs, metrics, and reporting
- Data modeling: relationships and star schemas
- Interactive dashboards: filters, drill-downs, visuals
- DAX: calculated measures and KPIs
- Integration: connect SQL and Python
Build intelligence, teach machines to predict and see
Machine Learning
Predict outcomes from data.
- Supervised learning: learning from labeled examples
- Regression & classification: predict numbers and categories
- Model evaluation: accuracy, precision, recall
- Unsupervised learning: clustering and segmentation
Deep Learning
The engine behind modern AI.
- Neural networks: how artificial neurons learn
- CNNs: image recognition
- Large Language Models: transformers explained
- Transfer learning: reuse powerful pre-trained models
- Object detection: real-time detection with YOLO
Ship & scale, move from notebooks to real AI products
MLOps
Models that work in the real world.
- Notebook to production: package and serve models
- Deployment & monitoring: keep models healthy live
- CI/CD for ML: automated testing and releases
- Model tracking: versions, experiments, metrics
- Automation: an end-to-end ML lifecycle
LangChain & LangGraph
Build real LLM applications.
- LLM applications: from prompt to product
- Tools & APIs: connect models to the outside world
- Multi-agent systems: agents that collaborate
- RAG systems: answers from your own documents
- AI chatbots: smart, context-aware assistants
Launch your career, get hired and get paid
Soft Skills
Turn skills into a career.
- Interview skills: technical and HR interviews
- Career planning: choose your data or AI path
- LinkedIn optimization: get found by recruiters
- Presenting ideas: explain data to non-technical people
- Freelancing: land your first paid projects
Graduation
Show what you built.
- Final project: an end-to-end data or AI solution
- Presentation: demo to a live panel
- Certificate ceremony: celebrate your achievement
The tech stack you'll master
Industry-standard tools, taught through real projects.
Programming
Write and analyze
Databases & BI
Query and report
Machine learning
Predict and detect
MLOps
Deploy and monitor
LLM apps
Build with AI
Real-world use cases you'll build
The same problems companies hire data and AI talent to solve.
Retail & e-commerce
- Sales forecasting: predict next month's demand
- Customer segmentation: group buyers by behavior
- Recommendations: suggest the right next product
Finance & banking
- Fraud detection: flag suspicious transactions
- Credit risk: score loan applicants
Marketing
- Churn prediction: spot customers about to leave
- Campaign dashboards: track performance live in Power BI
Healthcare
- Medical image classification: support faster diagnosis
- Readmission prediction: identify high-risk patients
Manufacturing & operations
- Defect detection: find faults on the line with YOLO
- Inventory optimization: stock the right amount
Business AI apps
- Company chatbot: RAG answers from internal documents
- Multi-agent assistant: research, summarize, and report
What you walk away with
A portfolio that proves your skills, not just a certificate.
A project portfolio
12 hands-on projects on real data.
A Power BI dashboard
Ready to show employers.
A deployed ML model
Live, not stuck in a notebook.
A RAG chatbot
Built with LangChain and LangGraph.
A job-ready profile
Optimized LinkedIn and interview prep.
A diploma certificate
Awarded at graduation.
Graduate job-ready
Data Analyst, Data Scientist, or AI Engineer: pick your path and build it here.
