Master AI & Machine Learning – Career Program
A six-month, project-driven program that takes you from Python and statistics to machine learning, deep learning and generative AI, ending with a deployed capstone you can show to employers.
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Program Overview
AI & Machine Learning – Career Program is an advanced-level live online course running 6 months (180 hrs), priced at $2,000 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
A six-month, project-driven program that takes you from Python and statistics to machine learning, deep learning and generative AI, ending with a deployed capstone you can show to employers. What you will build: a churn-prediction model, an image classifier, an NLP sentiment service and a retrieval-augmented (RAG) chatbot deployed behind an API. Tools and technologies: Python, NumPy, Pandas, scikit-learn, XGBoost, PyTorch, Hugging Face, LangChain, MLflow, Docker, Git, GitHub Copilot. Format: 180 hours of live, instructor-led online training over about 24 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Machine Learning Engineer, AI Engineer, Data Scientist, ML Analyst. Includes resume and LinkedIn review, mock interviews and job-search guidance for the US and Canadian markets. Career support is guidance, not a guarantee of employment.
Course Highlights
- 180 hours of live instructor-led training
- Portfolio projects and a capstone
- Tools: Python, NumPy, Pandas
- Certificate of completion
- Resume, LinkedIn and mock interview support
- Recorded sessions and mentor support
Minimum Requirements
- Basic programming logic; high-school level maths
- Laptop or desktop with stable internet
Who is this for ?
- Career changers targeting AI/ML roles
- Software developers moving into machine learning
- STEM graduates building an AI portfolio
Curriculum
Course Curriculum
8 modules · 39 topics0 hours total
- 1Python for data work
- 2NumPy and Pandas
- 3linear algebra essentials
- 4probability and statistics
- 5exploratory data analysis report
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the AI & Machine Learning – Career Program program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
AI and data science are among the fastest-growing, highest-value skill sets in the technology market. Learning them online, through live instructor-led sessions and hands-on projects, lets you build practical experience with Python, statistics, and machine learning while keeping your current job. Because the field rewards demonstrated ability over credentials, a strong project portfolio built during the course is what employers actually respond to.
Who this is for
- ✓Analytical professionals who enjoy math and code
- ✓Analysts wanting to move into modeling and AI
- ✓Career switchers targeting high-ceiling data roles
Career outcomes
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Analyst (advanced)
Frequently asked questions
How much does the AI & Machine Learning – Career Program course cost?
The AI & Machine Learning – Career Program course costs $2,000 (USD) for 6 Months (180 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in AI & Machine Learning – Career Program?
You will build a churn-prediction model, an image classifier, an NLP sentiment service and a retrieval-augmented (RAG) chatbot deployed behind an API.
Which tools and technologies does AI & Machine Learning – Career Program cover?
AI & Machine Learning – Career Program covers Python, NumPy, Pandas, scikit-learn, XGBoost, PyTorch, Hugging Face, LangChain, MLflow, Docker, Git, GitHub Copilot.
Is the AI & Machine Learning – Career Program course online or in person?
The AI & Machine Learning – Career Program program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the AI & Machine Learning – Career Program course?
The AI & Machine Learning – Career Program program runs for 6 Months (180 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the AI & Machine Learning – Career Program course — is it suitable for beginners?
The AI & Machine Learning – Career Program program is pitched at a advanced level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing AI & Machine Learning – Career Program?
Yes — you receive a verifiable certificate of completion for the AI & Machine Learning – Career Program program, which you can share with employers and add to your LinkedIn profile.
Does the AI & Machine Learning – Career Program course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join AI & Machine Learning – Career Program?
Recommended prerequisites: Basic programming logic; high-school level maths; Laptop or desktop with stable internet.
Do I need a math background for AI and data science?
Comfort with basic math helps, but the fundamentals — statistics and the math behind common models — are taught as part of a structured program. What matters most is consistent practice and building real projects.
Is Python required for AI and data science?
Yes, Python is the core language of the field. A good course starts from Python fundamentals and builds up to data libraries and machine learning, so you can start even if you are new to coding.
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