Our Courses
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Fundamentals of US Healthcare and Data Analytics
Embark on a transformative journey through the fundamentals of US healthcare and data analytics in this three-month course, blending theory with practical applications for 2 hours daily. Explore crucial data components like eligibility, claims, pharmacy, and provider files, delving into MRF, SQL, MongoDB, PySpark, ETL techniques, and data quality considerations. The course concludes with an introduction to AWS services, empowering participants to master advanced data modeling and ETL techniques, ultimately leading to proficient use of AWS-driven data analysis and visualization tools.
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DATA SCIENCE AND MACHINE LEARNING IN PYTHON
Course SynopsisThis course is targeted for beginners who want to learn how to think and write meaningful pieces of code or read codes written by someone else in Python. This course teaches how to map literary description of a problem (requirement) to an application/library coded in Python. This is a core basic level course that is essential for anyone who has no prior programming experience but wishes to be a professional Python engineer in future. Required Textbooks Chris Albon, “Machine Learning with Python Cookbook”, O’Reilly Media Inc. US.LazyProgrammer, “Deep Learning in Python”, LazyProgrammer, US.Oliver Theobald, “Machine Learning for Absolute Beginners”, Scatterplot Press. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module: Has attended 90% of all classes held.Has received an average grade of 80% on all assignment. Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (Varying from student-to-student) per week outside of the training class to self-study and practice.There is no prior educational level requirement for this course. Anyone from 10+2 student to someone who is doing their PHD in Genetic Engineering is welcome to take this course.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.
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DIGITAL MARKETING
Course SynopsisIn Digital Marketing, explore key strategies in social media, content creation, SEO, email marketing, and more. Acquire practical skills to effectively reach target audiences, enhance brand presence, and drive online success. Required TextbooksDave Chaffey and Fiona E. Chadwick, “Digital Marketing: Strategy, Implementation and Practice”, Pearson.Eric Enge, Stephan Spencer and Jessie C. Stricchiola “The Art of SEO”, O’Reilly. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes heldHas received an average grade of 80% on all assignmentsHas received an average of 60% in assessmentsThe tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesThere is no prior educational level requirement for this course.
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SOFTWARE QUALITY ASSURANCE (QA)
Course SynopsisThe course is structured to assist students in learning key topics in Software Quality Assurance, such as software testing objectives, processes, criteria, strategies, and methodologies. The course also covers subjects like how to create test cases and test data, how to execute testing operations, how to manage software problems and defects, software test automation using real-world examples, and how to perform software security and performance testing. Required TextbooksSagar Naik and Piyu Tripathy, “Software Testing and Quality Assurance”, Wiley.Cem Kaner, Jack Falk and H.Q. Nguyen, “Testing Computer Software”, Wiley. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held.Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the second module. PrerequisitesFundamental understanding of programming, bits/bytes, procedures, classes, and computer architecture. It's absolutely acceptable if you only have a theoretical understanding of programming, but you should be certain about what programming is and what you intend to gain from this session.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.
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FULL STACK WEB DEVELOPMENT - MERN STACK
Course SynopsisHTML and CSS, browser programming (using JavaScript, jQuery, Angular, or Vue), and server programming (using PHP, ASP, Python, or Node) are all covered in this course to help you become a full stack web developer. Required TextbooksVasan Subramanian, “Pro MERN Stack”, 1st Edition, Apress.Shama Hoque, “Full-Stack React Projects”, Packt.Greg Lim, “Beginning MERN Stack”, Greg Lim. Completion CriteriaAfter fulfilling all of the following criteria, the student will be deemed to have finished the Module:Has attended 90% of all classes held. Has received an average grade of 80% on all assignments.Has received an average of 60% in assessments.The tutor believes the student has grasped all of the concepts and is ready to go on to the next module. PrerequisitesBasic knowledge about programming, bits/bytes, procedures, classes, computer architecture, etc. If you just have theoretical knowledge that is perfectly okay but you should have strong convictions on what programming is, and what you hope to achieve from this class.Willing and eager to spend at least 10-20 hours (varying from student-to-student) per week outside of the training class to self-study and practice.If you are only interested in theory and have no interest/patience in spending at least 10 hours every week throughout the duration of the course, then this course might not be for you.If you have absolutely no idea about programming or do not see yourself doing programming in the next six -odd months, then this class may not be for you.
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Project Management Professional
A Project Management Professional (PMP) is a globally recognized certification offered by the Project Management Institute (PMI) to individuals who demonstrate extensive knowledge and experience in project management. To obtain the PMP certification, candidates must meet specific educational and professional requirements, pass a rigorous examination, and adhere to a professional code of conduct. PMP-certified professionals are equipped with advanced project management skills, methodologies, tools, and techniques to effectively initiate, plan, execute, monitor, control, and close projects. They possess a deep understanding of project management processes, best practices, and principles, enabling them to lead and manage projects of varying sizes and complexities successfully. The PMP certification signifies a commitment to excellence, continuous learning, and professional development in the field of project management.
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The Smart Coder: Building Apps with AI Agents
Course Outline Course SynopsisThe Smart Coder: Building Apps with AI Agents is a beginner-friendly course that teaches how to create applications using Generative AI tools. Students will learn how to turn ideas into real apps by giving instructions (prompts) to AI, designing interfaces, and building projects without deep coding knowledge. This course focuses on practical learning and real-world application development using AI. Required ResourcesGoogle AI StudioFigma MakeGoogle StitchCLI AI tools (Gemini CLI, Claude Code, etc.)Instructor-provided materials Completion CriteriaMinimum 90% attendanceCompletion of assignments and activitiesSuccessful final project (capstone) PrerequisitesNo prior programming knowledge requiredBasic computer skillsWillingness to practice and learn AI toolsCommitment to spend time on self-learning
