Serverless
This course unravels the concept of serverless infrastructure, exploring its benefits, how it works, and its real-world applications. We'll use everyday analogies, simple language, and engaging visuals to make this complex topic easy to grasp.
Serverless
419
This course delves into the principles and practices of tuning a large language model (LLM) to develop an engaging and educational AI chatbot tailored for young learners. We explore the intersection of technology and pedagogy to create a tool that fosters curiosity and a love for learning.
Ai
472
This course offers an in-depth exploration of managing projects with Git, focusing on the use of repositories and submodules. It is designed to provide a clear understanding of version control workflows, collaboration techniques, and submodule integration for complex projects.
Git
337
Explore the core principles of defining software requirements, understanding their importance, and identifying the key stakeholders involved. This course is designed to simplify complex concepts into understandable elements, using everyday language and practical examples.
Software
348
This course delves into the foundational concepts of computer science, focusing on boolean logic, abstraction, encapsulation, and interfaces. By exploring these concepts, students will gain a deeper understanding of how to design and structure software for better modularity and reusability.
Computer Science
345
This course dives deep into fundamental computer science concepts, exploring how they shape the efficiency and structure of software development. Through analogies, visualizations, and interactive challenges, students will gain a robust understanding of these essential topics.
Computer Science
337
This course dives deep into the design, implementation, and analysis of advanced data structures and algorithms. Students will explore various abstract data types (ADTs), algorithm complexities, and practical coding techniques to solve complex problems efficiently.
Data Structures
303
This course provides an in-depth exploration of how artificial intelligence can be applied to enhance instructional design in distance learning. It focuses on content curation, structuring educational pathways, and improving course accessibility and quality with AI tools.
Artificial Intelligence
286