Our Courses
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ADVANCED PROMPT ENGINEERING WITH AI
"Engineering Essentials" provides a comprehensive overview of core engineering principles, spanning disciplines like mechanical, electrical, and civil engineering. Covering key concepts such as problem-solving methodologies, design processes, and technological advancements, the course equips students with a foundational understanding of engineering. Practical applications and case studies enhance learning, preparing participants for real-world challenges in diverse engineering fields.
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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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HOW TO LEARN WITH AI
Course Synopsis - How to Learn with AI is a 40-day (60-hour) practical, project-based course designed for beginners, especially SEE-appeared students. It helps students use AI tools for studying, note-taking, content creation, and problem-solving through hands-on learning and real tasks. Evaluation is based on attendance, assignments, projects, and final performance. Required Tools / ResourcesAI Tools: ChatGPT, Google Gemini, ImageFX, Canva, CapCutPersonal laptop with internet accessOptional: Google AI Studio, ElevenLabs(No prior experience required) Completion Criteria90% attendance required80% average in assignments60% minimum in final project/evaluationActive participation in practical tasksInstructor approval for course completion PrerequisitesBasic computer and internet knowledgeInterest in learning AI toolsWillingness to practice 5–10 hours weeklyNo prior AI or design knowledge required Note: Best suited for students interested in practical learning and hands-on AI use.
