0114 sessions
Foundations
The computer stops being a mystery box.
- Linux & the shell
- Git & GitHub
- Python fundamentals
- Documentation
Build A command-line tool
8 months · start from zero
Applied AI Engineering Diploma
No computer science background required. One hundred and forty sessions from the terminal to a deployed agentic system, with nine projects and a capstone along the way.
- 8 months
- Duration
- 140
- Sessions
- 210
- Contact hours
- 10
- Modules
- 9 + 1
- Projects
Who this is for
Anyone who can use a computer and read English technical text. No prior coding. Module 1 starts at the terminal.
What it takes
Four sessions a week, ninety minutes each, plus six to eight hours of self-study. The self-study is not optional and we say so before you enrol.
What you leave with
Nine projects and a deployed capstone, all public and all defensible in an interview.
The curriculum
Ten modules. Each one ends in something you shipped.
0216 sessions
Engineering
Stop writing scripts. Start writing software.
- Collections
- OOP
- pytest & TDD
- Type hints
- Big-O & data structures
Build A tested, installable package
0316 sessions
Data and the internet
Get data from anywhere to anywhere.
- HTTP & networking
- REST APIs
- FastAPI
- SQL & Postgres
- NumPy & pandas
Build A pipeline that runs unattended
0416 sessions
Machine learning
The classical toolkit still wins most real problems.
- Math for ML
- scikit-learn
- Gradient boosting
- Evaluation
- Data leakage
Build End-to-end machine learning
0512 sessions
Deep learning
Neural networks, without the magic.
- PyTorch
- Training loops
- Optimizers
- Regularization
- Debugging runs
Build A trained network, from scratch
0616 sessions
Computer Vision
Detection, video, and the edge.
- OpenCV
- CNNs
- Transfer learning
- YOLO
- Tracking & RTSP
- Edge deployment
Build A vision system on live video
0712 sessions
NLP and Transformers
Text, embeddings, fine-tuning.
- Tokenization
- Attention
- Hugging Face
- LoRA
- Urdu & multilingual
Build A fine-tuned language model
0816 sessions
Agentic AI and LLMs
RAG, tools, agents, guardrails.
- Prompting
- Structured output
- Vector stores
- RAG
- Tool calling
- Agents
- Guardrails
Build An agentic application
0912 sessions
DevOps and MLOps
Ship it, run it, and know when it breaks.
- Docker
- CI/CD
- Cloud & IAM
- MLflow
- Model registry
- Monitoring & drift
Build A deployed, monitored service
1010 sessions
LLMOps and capstone
Running systems that are not deterministic.
- Tracing
- Prompt versioning
- Online eval
- Caching & routing
- vLLM
- Compliance
Build Capstone — deployed, documented, defended
Full session-by-session outline, all 140 sessions, with every project brief. Download the PDF (23 pages).
Next cohort starts soon. Places are limited to 25.
Applications take ten minutes. We reply within three working days, either way — or just message us on WhatsApp.