01
Python for AI & DataRequired
UpcomingUpcoming
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Data & AI pathway
beginner → Portfolio-ready
AI & Machine Learning Engineer Roadmap
A structured AI and machine-learning journey from Python, data, and mathematical foundations through classical machine learning, deep learning, responsible evaluation, MLOps, deployment, and a portfolio-ready capstone.
4 stages0 of 8 available12–15 months journeyEnglish medium
PythonData analysisMachine learningDeep learningMLOpsResponsible AI
Visual journey
From foundation to capstone
Use this overview to understand the sequence. Open each stage below for course details.
- 01Python, Data & Mathematical FoundationsUpcoming
- 02Applied Machine LearningUpcoming
- 03Deep Learning & Responsible EvaluationUpcoming
- 04Production ML & Portfolio CapstoneUpcoming
Enrol, learn and earn
Your AI & Machine Learning Engineer journey
Roadmap distinctionUnlocked after every required course and its verified course certificate.
Complete roadmap access
Enrol once for the full learning path
Included published courses are activated together. Your course certificates remain individual, and completing every required certified course unlocks the roadmap distinction.
Pricing coming soonpublished before enrolment opens
02
Mathematics, Probability & Statistics for MLRequired
UpcomingUpcoming
03
Data Preparation & Exploratory AnalysisRequired
UpcomingUpcoming
04
Supervised & Unsupervised Machine LearningRequired
UpcomingUpcoming
05
Neural Networks & Deep LearningRequired
UpcomingUpcoming
06
Model Evaluation, Explainability & Responsible AIRequired
UpcomingUpcoming
07
MLOps, Model APIs & DeploymentRequired
UpcomingUpcoming
08
AI & Machine Learning Portfolio CapstoneRequired
UpcomingUpcoming
Complete curriculum
Follow the stages in order
Required courses build the core skill. Optional courses let you specialise.
01
Stage 1
Python, Data & Mathematical Foundations
Build the programming, data, probability, statistics, and linear-algebra foundation used throughout machine learning.
UpcomingRequired
Python for AI & Data
Learn practical Python, NumPy, pandas, notebooks, and reliable data-processing habits.
PythonNumPypandasJupyter
UpcomingRequired
Mathematics, Probability & Statistics for ML
Develop the mathematical intuition needed to understand data, optimisation, uncertainty, and model behaviour.
Linear algebraProbabilityStatisticsOptimisation
02
Stage 2
Applied Machine Learning
Prepare real datasets and solve supervised and unsupervised learning problems with reproducible workflows.
UpcomingRequired
Your final roadmap credential
Preview the distinction certificate
This sample mirrors the issued certificate. Your name, verified results, QR code, and verification ID appear only after every required course certificate is earned.
MaheiLambiRoadmap distinction · verified · shareable
Verified Credential
Certificate of Distinction
This credential will be proudly awarded to
Student Full Name
for completing every required assessed course and earning each underlying course credential in
AI & Machine Learning Engineer
CredentialRoadmap distinction
Average scoreVerified at issue
Courses completed8 required
Learning time12–15 months
Skills demonstratedPython · Data analysis · Machine learning · Deep learning · MLOps · Responsible AI
Issued after verified completion · MLR-PREVIEW-ONLYAwarded for meeting the published learning and assessment requirements. Recognition is not implied.