AI Foundations & Applied Programming

This course comprises 5 purposely designed modules that take you on a carefully defined learning journey.

Our proven learning methodology blends the best that instructor-led training and self-paced learning have to offer. Leveraging the power of instructor feedback, mentor-supported hands-on practice, and additional home-based studying, you will build the deep technical and practical understanding todays employers are looking for.

Additionally, you will enjoy learning via an interactive online classroom environment where you will be able to participate and actively engage with your peers, instructors, and mentors. Plus, you will get the opportunity to earn recognized certifications which will help your resume and LinkedIn profile stand out.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exam questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.

Once you have successfully completed the course, you will earn your Certificate of Completion.

By the end of this course, you will have:

• Mastered data handling with Python, Pandas, and NumPy.
• Enhanced SQL skills for query optimization in AI pipelines.
• Gained proficiency in exploratory data analysis (EDA) and feature engineering.
• Built expertise in AI model evaluation, including SHAP, LIME, and fairness in AI.

• Software engineers & developers Integrating AI into software solutions.
• Data analysts & BI professionals Expanding AI-driven data processing & modeling.
• Data engineers Utilizing AI for data transformations & model deployment.
• IT professionals & system administrators Exploring AI & MLOps applications.
• Product managers & tech consultants Managing AI product development & strategy.
• Aspiring AI/ML engineers Transitioning into AI & machine learning roles.

• Basic programming knowledge Familiarity with Python or any other programming language is recommended but not mandatory.
• Fundamental math & statistics Understanding of basic algebra, probability, and statistics is helpful for AI concepts.
• Basic SQL knowledge (Optional) Prior experience with databases and writing queries is beneficial.
• No prior AI/ML experience required The course covers AI fundamentals from the ground up.