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Fresh graduates who can code a little
You know the basics of programming and want your first job in AI.
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AI and Machine Learning
Learn how AI models work. Then train your own.
Machine learning is how a computer learns from examples instead of fixed rules. This program teaches it from the ground up. You finish able to train a model, test it and explain how it works.
program sheet
- You become
- Machine learning engineer
- Duration
- 1 to 6 months, depending on the program.
- Format
- Online and classroom
- You need first
- Basic programming and school math
- Start dates
- New batches through the year
- Job support
- 100% job enablement program
Overview
Who this program is for.
This program fits three kinds of learner. If you are not one of them, the list below shows a better place to start.
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Software engineers moving into AI
You already write code. You want to understand the AI models you use.
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Data professionals moving into AI
You work with data. You want to learn how models learn from it.
Start somewhere else if
You have never written code.
Start with ReskillingYou manage people and do not need to code.
See Programs for managersYou want to build apps with AI.
See AI EngineeringBy the end, you can
- Explain in simple words how an AI model produces an answer.
- Train a model on your own data.
- Improve an existing model for a new task (fine-tuning).
- Test a model and say how good it is.
- Choose the right kind of model for a problem.
- Present your result to people who do not code.
Skills covered
- Foundations
- Python, and the math you need, taught as you go.
- Models
- Classic machine learning, neural networks and transformers, the model type behind chat assistants.
- Practice
- Training, fine-tuning, testing and finding errors.
- Communication
- Writing and presenting your results clearly.
Tools and technologies
SampleReal-time projects
Projects you build yourself.
You build real-time projects: complete projects, made the way they are made at work. A working engineer checks each one.
Sample projectp-01
A small AI model you built and can explain
- Problem
- You use AI every day but cannot say how it produces an answer.
- Tools
- A small model of the kind behind chat assistants (a transformer), written and trained by you
- Skills
- How models read text, how they learn, training
- What you build
- A trained model and a short note on each choice you made
- Result
- You can explain how a model learns and spot when training goes wrong
checked on: it works, and you explain it clearly
Sample projectp-01
An improved model and a test report
- Problem
- A general AI model does one narrow task badly.
- Tools
- Extra training on your own examples (fine-tuning), a test set, error checks
- Skills
- Preparing data, training, testing
- What you build
- An improved model and a report on where it still fails
- Result
- You can say when extra training is worth it
checked on: measured improvement, honest reporting
Labs
Labs are where you practice and build each week.
How we teachSampleSample
Sample: proposed training details for review. Resources and completion rules are not confirmed yet.
- Environment
- Python notebooks with repeatable model-training and testing exercises.
- Data
- Public or synthetic text and tabular datasets, split into training and test sets.
- Compute
- Laptop-sized models first. Larger training may need cloud computing; access is not confirmed.
- Tools
- Python, PyTorch, scikit-learn, Jupyter and Git.
Mentors and support
Working engineers guide you.
Your mentors teach, check your work every week and help when you are stuck. After you join a job, technical support continues: a mentor keeps guiding you.
Mentors and technical supportJobs and certificates
The job you train for.
This program prepares you for a job as a machine learning engineer: the person who trains AI models and tests them. Later you can grow with AI Engineering and then Forward Deployed Engineer.
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Data scientist
Finds answers in data and helps the business decide.
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Machine learning engineer
Trains AI models and tests how good they are.
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AI engineer
Builds apps that use AI models and keeps them running.
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Forward deployed engineer
Makes an AI product work inside a customer's company.
100% job enablement program
- Resume help
- We help you write a resume that shows your skills and your projects.
- Mock interviews
- You practice interview questions and get feedback before the real interview.
- Referrals to hiring companies
- We refer you to companies that are hiring for your role.
Certificates
You receive a Ticker Academy certificate when you complete a program.
Sample
Proposed completion checks: finish the required labs, show a working final project, fix review feedback and explain your work.
A question first?
Ask before you apply.
Write to us about this program. We reply by email and call only if you ask us to.
How to apply
Apply for AI and Machine Learning.
About this program
You should be able to write a small program on your own: read a file, use a loop, write a function, fix an error. Never written code? Start with Reskilling.
School-level algebra is enough to start. The program teaches the rest at the point where you need it.
Yes. The 100% job enablement program gives you resume help, mock interviews and referrals to hiring companies. We make you job-ready. The job offer comes from the employer, so no academy can honestly guarantee one.
New batches start through the year. Apply and we send you the next start date for this program.
- Start dates
- New batches start through the year. You get the next date when you apply.
- Format
- Online and classroom
- Duration
- 1 to 6 months, depending on the program.
- Program details
- We send you the full program details when you apply.
Three short steps. We reply by email and call only if you ask us to.