Data Science & AI Diploma
Master Python, SQL, machine learning, deep learning, Transformers, RAG, and AI agents through hands-on notebooks, tasks, and a final graduation project.
The diploma path
Sixteen modules, each building on the last. Every lecture is paired with a practice section, and every module comes with slides, a notebook, and a hands-on task.
Foundations, the code and data skills behind every AI system
Python
The language of data and AI.
- Python basics: variables, conditions, loops
- Functions: write reusable, clean code
- Data structures: lists, dictionaries, sets, tuples
- Key libraries: NumPy, Pandas, Matplotlib
SQL
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 Preparation
Turn messy data into model-ready data.
- Data cleaning: missing values, duplicates, outliers
- Encoding & scaling: prepare features for models
- Visualization: charts that reveal patterns
- Feature selection: keep what drives results
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, CNN & Computer Vision
The engine behind modern AI, and how machines see.
- Neural networks: how artificial neurons learn
- CNNs: image recognition
- Computer vision: classification and detection
- Transfer learning: reuse powerful pre-trained models
Language & LLMs, from sequences to Transformers to GPT
NLP Foundations & RNN
How machines read and model text.
- Text processing: tokenization and embeddings
- RNNs: learning from sequences
Attention & Transformers
The architecture that changed everything.
- Attention: why context matters
- Transformers: the architecture explained step by step
Pretrained LLMs, BERT & GPT
Use powerful models instead of training from scratch.
- BERT: understanding text
- GPT: generating text
- Pretrained models: load and apply them to real tasks
Build AI apps, connect models to your data, tools, and workflows
Prompt Engineering & LangChain
From a prompt to a real LLM application.
- Prompt engineering: get reliable outputs
- LangChain: chains, tools, and memory
RAG & Vector Databases
Answers grounded in your own documents.
- Embeddings: turn text into searchable vectors
- Vector databases: store and retrieve by meaning
- RAG pipeline: retrieve, augment, generate
Agents with LangGraph
AI that plans, uses tools, and takes action.
- Agent workflows: graphs, state, and control flow
- Tools: let agents call functions and APIs
- Multi-step reasoning: agents that collaborate
AI Speech (ASR & TTS)
Give your AI a voice and ears.
- ASR: convert speech to text
- TTS: convert text to natural speech
MCP & Integration
Connect AI to the tools your business already uses.
- Model Context Protocol: a standard way to connect tools
- Integration: link models, data, and services
Productivity & capstone, apply everything you learned
AI Tools
Work faster with the best modern AI tools.
- AI productivity tools: choose the right tool for each task
- Practical use cases: research, content, and automation
Final Graduation Project
Show what you built.
- Final project: an end-to-end data or AI solution
- Presentation: demo your work to a panel
Launch your career, turn your skills into income
Soft Skills, Freelancing, AI Tools & Prompting
Get hired, land clients, and work faster with AI.
- Soft skills: communication, interviews, and presenting your work
- Freelancing: build your profile, find clients, and price your services
- AI tools: the modern tools that speed up everyday work
- Prompting: write prompts that get reliable, professional results
Diploma at a glance
48 live sessions (lectures plus practice sections) and 133 hours of training in total.
| Module | Sessions | Hours |
|---|---|---|
| Python | 2 | 6 |
| SQL | 2 | 6 |
| Data Preparation | 2 | 6 |
| Machine Learning | 4 | 12 |
| Deep Learning, CNN & Computer Vision | 4 | 12 |
| NLP Foundations & RNN | 1 | 3 |
| Attention & Transformers | 1 | 3 |
| Pretrained LLMs, BERT & GPT | 1 | 3 |
| Prompt Engineering & LangChain | 1 | 3 |
| RAG & Vector Databases | 1 | 3 |
| Agents with LangGraph | 1 | 3 |
| AI Speech (ASR & TTS) | 1 | 3 |
| MCP & Integration | 1 | 3 |
| AI Tools | 1 | 4 |
| Final Graduation Project | 1 | 3 |
| Lectures (modules 1 to 15) | 24 | 73 |
| Practice sections | 24 | 48 |
| Soft Skills, Freelancing, AI Tools & Prompting | - | 12 |
| Total | 48 | 133 |
The tech stack you'll master
Industry-standard tools, taught through real projects.
Programming & data
Write and prepare
Machine & deep learning
Predict and see
Language models
Understand and generate
LLM apps
Build with AI
Real-world use cases you'll build
The same problems companies hire data and AI talent to solve.
Predictive analytics
- Churn prediction: spot customers about to leave
- Customer segmentation: group buyers by behavior
Computer vision
- Image classification: recognize products, defects, or documents
- Transfer learning: strong results with small datasets
Language & text
- Text understanding: classify and analyze with BERT
- Text generation: draft content with GPT models
Business AI apps
- Company chatbot: RAG answers from internal documents
- Multi-step agents: research, summarize, and report
Voice AI
- Speech to text: transcribe calls and meetings
- Text to speech: voice assistants that talk back
Integration & automation
- MCP connections: let AI use your tools and data
- AI tools: automate everyday work tasks
What you walk away with
A portfolio that proves your skills, not just a certificate.
8+ end-to-end projects
A portfolio built on real data, plus notebooks and tasks for every module.
Trained ML and DL models
From churn prediction to image classification.
A RAG chatbot
Built with LangChain and a vector database.
An AI agent
A working multi-step workflow with LangGraph.
A final graduation project
An end-to-end solution you present live.
A career-ready profile
Soft skills, freelancing know-how, and a pitch for your best project.
A diploma certificate
Awarded at graduation.
Graduate ready to build AI
133 hours, 48 live sessions, 16 modules, and 8+ end-to-end projects. From your first line of Python to your own AI application.
