AI COURSE CATEGORY · 07
Machine Learning
courses built around real work.
Move from Python and data to tested models, evaluation and deployment.
Machine Learning courses are built for learners who want to understand how predictive AI is made. Study Python, data preparation, model selection, testing and deployment through guided code and projects. Specialist routes cover deep learning, NLP, computer vision, MLOps and responsible evaluation.
11programs and workshops
Livetrainer-led classes
6+portfolio projects
2026updated toolset
WHO THESE COURSES ARE FOR
Choose by the work you want to do.
Python learners
Analysts moving into modelling
Developers building AI systems
RECOMMENDED STARTING PROGRAMS
Choose one of these three first.
Start with the broad program, choose the beginner route, or go directly to a specialist skill. Click anywhere on a card to open it.
01 Broadest route02 Beginner-friendly03 Specialist route
24 weeks
Best overall starting pointMachine Learning
Machine Learning with Python
Learn Python, data preparation, supervised learning, unsupervised learning and model deployment through projects.
Online + Offline
10 weeks
Best for beginnersMachine Learning
AI for Predictive Maintenance and Smart Manufacturing
Use equipment data, anomaly detection and industrial AI to predict failures, support maintenance and reduce unplanned downtime.
Online + Offline
10 Weeks
Best specialist routeMachine Learning
Telecom AI — GenAI, Network Intelligence & Agentic Operations
Apply Generative AI, network intelligence, RAG, predictive methods and supervised agents across NOC, service-assurance, customer and telecom operations.
Online + Offline
Still unsure?
Tell us your current work and goal. We will shortlist the right level instead of asking you to compare every course.
Help me choose ↗HOW SKILLS DEVELOP
A practical learning path.
Each stage adds a working method and a review point before the next step.
Prepare
Python, data cleaning, statistics and features.
Train
Select algorithms and build repeatable experiments.
Evaluate
Measure quality, bias, errors and generalisation.
Deploy
Package, serve and monitor a model.
TOOLS YOU WILL MEET
Current tools, lasting methods.
PythonPandasscikit-learnTensorFlowPyTorchHugging FaceMLflowDocker
PROJECT DIRECTIONS
Work you can present.
- Customer prediction model
- Text classification system
- Computer vision detector
- Deployed model API
CONNECTED CAREER DIRECTIONS
Machine Learning AssociateJunior Data ScientistNLP DeveloperMLOps Associate
ALL MACHINE LEARNING COURSES
Compare every course.
Not sure which level fits? Our advisor can compare your background, goal and weekly schedule.
24 weeks
Machine Learning
Machine Learning with Python
Learn Python, data preparation, supervised learning, unsupervised learning and model deployment through projects.
Online + Offline
10 weeks
Machine Learning
AI for Predictive Maintenance and Smart Manufacturing
Use equipment data, anomaly detection and industrial AI to predict failures, support maintenance and reduce unplanned downtime.
Online + Offline
10 Weeks
Machine Learning
Telecom AI — GenAI, Network Intelligence & Agentic Operations
Apply Generative AI, network intelligence, RAG, predictive methods and supervised agents across NOC, service-assurance, customer and telecom operations.
Online + Offline
12 months
Machine Learning
Artificial Intelligence & Machine Learning Diploma
A long-form program covering Python, machine learning, deep learning and applied AI.
Online + Offline
12 weeks
Machine Learning
Deep Learning
Build neural networks for image, text and prediction tasks through guided projects.
Online + Offline
10 weeks
Machine Learning
Natural Language Processing
Work with text classification, embeddings, language models and NLP applications.
Online + Offline
10 weeks
Online + Offline
10 weeks
Machine Learning
MLOps & Model Deployment
Package, deploy, monitor and update machine-learning models.
Online + Offline
8 weeks
Machine Learning
Python for AI
Learn the Python skills required for data, machine learning and AI application work.
Online + Offline
6 weeks
Machine Learning
Responsible AI & Model Evaluation
Assess bias, quality, safety, drift and responsible use of AI systems.
Online + Offline
12 weeks
Machine Learning
Physical AI & Robotics with NVIDIA Isaac, ROS 2 & LeRobot
Build and test simulation-first robotics workflows covering perception, control, robot learning and safe deployment planning.
Online + Offline
CATEGORY QUESTIONS
Before you choose
Can I take Machine Learning courses online?
Yes. Every course is available through live online classes, with trainer interaction, guided labs and project reviews. Selected batches also run in our classrooms.
＋Are weekday and weekend batches available?
Yes. Choose weekday or weekend classes, with regular and selected fast-track options. An advisor will confirm the current schedule.
＋Will I complete practical projects?
Yes. You will practise during class, complete reviewed assignments and finish portfolio work tied to real tasks.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.