AI & ML Foundations
Problem types, data, models and evaluation
Career-focused program
AI & Machine Learning Course
Learn practical AI and machine learning foundations, Python workflows, model evaluation and AI API automation.
Who it is for
A structured path for learners who want to build.
- Learners with basic programming knowledge
- Developers who want practical AI integration skills
- Data learners ready to move into ML foundations
BY THE END, YOU SHOULD BE ABLE TO
- Prepare data for machine learning workflows
- Train and evaluate introductory ML models
- Understand classification/regression fundamentals
- Use AI APIs inside practical applications
- Build an explainable AI/automation capstone
Tools covered
Learn a connected technology stack.
PythonPandasScikit-learnML WorkflowAI APIsAutomation
Detailed syllabus
Learn in modules, not a random list of topics.
Each module combines concepts, practice and a milestone. Exact lesson order can change by batch as the curriculum is updated.
Python for ML
NumPy/Pandas refresh, cleaning and feature preparation
Supervised Learning
Regression, classification and model evaluation
Model Workflow
Train/test split, metrics, overfitting and iteration
AI APIs & Automation
Integrating generative AI APIs into useful workflows
Capstone
Plan, build, test and explain an AI-enabled project
Project work
Turn modules into portfolio evidence.
Prediction workflow on a public dataset
Plan the problem, build the solution, review your work and practice explaining it.
AI-assisted support/knowledge workflow
Plan the problem, build the solution, review your work and practice explaining it.
Automation capstone using APIs
Plan the problem, build the solution, review your work and practice explaining it.
Career trajectories
Roles this learning path can support.
AI/ML TraineePython Automation DeveloperJunior Data/ML PractitionerAI Application Developer Trainee
Role suitability depends on your completed skills, projects, prior background, interview performance and employer requirements. These are learning-path examples, not job guarantees.
Schedule & fees
Get the current batch details.
Batch scheduleAsk admissions for current weekday/weekend availability.
Fees & EMICurrent fees and EMI availability are confirmed before admission.
Learning modeConfirm current classroom/online options for your batch.
Frequently asked
AI & Machine Learning course FAQs
The listed level is Intermediate. Admissions can help you compare your current level with the program prerequisites before you enroll.
Yes, the learning design is project-based. Ask for the current batch project list because project scope can evolve with the curriculum.
Career guidance can include resume, portfolio, interview and job-search support. Employment should not be treated as guaranteed unless the academy provides a specific written guarantee.
Course guidance
Want the current syllabus, fee and batch schedule?
Speak with admissions before enrolling so you can confirm the latest curriculum and learning format.