What's included

• Course Syllabus

  A detailed document outlining the course structure, objectives, prerequisites, module breakdown, and assessment methods.

• Lecture Slides

  Comprehensive slides for each lesson, covering theoretical concepts, practical examples, and key takeaways.

• Recorder Video Lectures

  Pre-recorded video lectures for each lesson, providing detailed explanations of the topics covered in the slides.

• Course Notes

  Written notes summarizing each lesson, including important definitions, formulas, and examples.

• Python Notebooks

  Interactive Jupyter notebooks containing code examples and exercises for hands-on practice.

• Hands-on Projects

  Practical projects at the end of each module, allowing students to apply their knowledge to real-world problems.

• Final Project

  A comprehensive project that integrates concepts from all modules, requiring students to develop an AI solution from scratch.

• Weekly Q&A Sessions

  Scheduled live sessions where students can ask questions and get clarifications on the course material.

• Final Mentorship Session

  One-on-one mentoring sessions to provide personalized guidance and feedback at the end of the Course.