Books & Courses
Graphs and Networks
Description
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Model several real-world problems as graphs and solve them using various graph-theoretic concepts like planarity, coloring, matching, and domination.
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Design and analyze connected graphs and directed graphs.
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Understand different crucial parameters associated with a network, such as similarity and centrality.
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Learn about flow in a network and its related concepts, which are critical for optimizing network performance.
Features
- Tailored for Beginners: Whether you're new to AI or looking to expand your knowledge, this course breaks down complex topics into understandable segments, ensuring a solid foundation in Generative AI.
- Hands-On Learning Experience: Move beyond theory with practical exercises, including building your own Generative AI chatbot, getting real-world skills and experience. Note that the chatbot section is totally optional, and if you are from a non-technical background, its ok to skip or just watch along.
- Instructor Guidance: The instructor has deep knowledge and experience in AI and Generative AI, offering insights and guidance throughout the course.
Target audiences
- College Students
- Anyone interested by the buzz around Generative AI
- Aspiring AI/Generative AI Enthusiasts
- Business Professionals and Leaders
- Career Seekers in Tech
- Innovative Problem Solvers
Requirements
- A desire to learn...
- Chatbot section (Optional) requires OpenAI credits
