Artificial Intelligence (AI) & Machine Learning (ML)
Artificial Intelligence (AI) & Machine Learning (ML): Foundations for Data Science introduces core AI and ML concepts, algorithms, and tools. ...
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- Description
- Curriculum
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This 12-week live weekend course equips learners with the core skills in AI and Machine Learning required to succeed in the field of Data Science. Delivered with live faculty interaction and hands-on projects, the course blends theoretical knowledge with practical
applications. Students will gain proficiency in programming, mathematical foundations, and real-world data analysis, building the foundation to pursue advanced AI/ML careers.
Learning Objectives
By the end of this course, learners will be able to:
- Understand AI & ML concepts and industry terminology.
- Apply programming skills in data-driven scenarios using Python.
- Use mathematical principles (statistics, linear algebra, calculus) for ML models.
- Perform data preprocessing, cleaning, and feature engineering.
- Train, test, and evaluate ML models effectively.
- Work on live projects simulating real-world industry problems.
Career Opportunities
Graduates of this course can pursue roles such as:
- Data Scientist
- Machine Learning Engineer
- AI Researcher
- Data Analyst
- Business Intelligence Specialist
- AI Product Developer
- ML/AI Consultant
Course materials
Week 1
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Course details
Duration
12-week
Video
72 Hours
Level
Beginner
Successful learners will earn a RiseBack Certificate in Artificial Intelligence & Machine Learning Foundations, endorsed for career readiness in Data Science & AI.
6 Months
Basic info
Schedule: 6 Hours/Week (Sat & Sun, 3 Hours each) → 72 Total Hours
Course requirements
- Programming Knowledge: Variables, loops, functions, data types.
- Mathematics: Basic statistics, linear algebra, calculus.
- Data Handling: Familiarity with datasets, spreadsheets, or visualization tools.
- Machine Learning Fundamentals: Knowledge of supervised and unsupervised learning, regression, classification,
clustering.
Intended audience
- Fresh graduates aspiring to enter the AI/ML and Data Science industry.
- Working professionals in IT, software, data analysis, or business intelligence.
- Entrepreneurs looking to apply AI in startups or product development.
- Researchers and academicians exploring AI/ML for applied studies.
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