Training programme
AI & Machine Learning
A complete path into modern AI. You start with Python and data, move through classic machine learning and deep learning, then build with generative AI, large language models, retrieval-augmented generation and AI agents, and finish by deploying and operating models in production.
Skills & technologies covered
- Python
- Pandas
- scikit-learn
- PyTorch
- LLMs
- RAG
- LangChain
- MLOps
- Clean, analyse and visualise data
- Train and evaluate ML and deep learning models
- Build GenAI, RAG and agent applications
- Deploy and monitor models
Curriculum & modules
Module 01
Python programming
- Python fundamentals
- Data structures
- Functions and modules
- Working with files and APIs
Module 02
Data science & analytics
- NumPy and Pandas
- Data cleaning
- Exploratory analysis
- Visualisation and storytelling
Module 03
Machine learning algorithms
- Regression and classification
- Clustering
- Model evaluation
- Feature engineering
Module 04
Deep learning
- Neural networks
- CNNs and sequence models
- Transfer learning
- Training at scale
Module 05
Generative AI & LLMs
- How LLMs work
- Prompt engineering
- Fine-tuning basics
- Evaluating outputs
Module 06
RAG & agentic AI
- Embeddings and vector search
- Retrieval-augmented generation
- Tool use and planning
- Multi-agent workflows
Module 07
Deployment & MLOps
- Serving models as APIs
- Containers
- Monitoring and drift
- CI/CD for ML
Practical projects
- 1
Predictive analytics model on a real dataset
- 2
Document Q&A assistant using RAG
- 3
AI agent that completes a multi-step task with tools
- 4
Deployed model with a monitored API
Learning outcomes
- Work confidently with data in Python
- Choose, train and evaluate the right model for a problem
- Build production-style GenAI and RAG applications
- Ship and maintain models with MLOps practices
Who should join
- Students in computer science, IT, engineering or data-related courses
- Developers who want to move into AI
- Working professionals upskilling in AI and data
Training methodology
- 01
Live, mentor-led sessions
Learn concepts with mentors from the industry and ask questions as you go.
- 02
Build as you learn
Every module ends with hands-on work, so theory turns into skill quickly.
- 03
Reviews and feedback
Your code and projects are reviewed, with practical feedback to improve.
- 04
Portfolio projects
You finish with real projects you can show employers or clients.
Duration & learning format
Duration, batch timings and the learning format (online, in person or blended) are shared when you enquire, so we can match you to the right batch.
Fees aren’t listed online. The team shares full details with you directly after your enquiry.
Apply for AI & Machine Learning
Ready to build your future in technology?
Send an enquiry and the Nivaaso team will get in touch with the next steps.