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Programming with Generative AI

NPTEL via Swayam

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Details

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Provider

Swayam
Pricing

Free Online Course
Languages

English
Certificate

Paid Certificate Available
Effort

8 weeks
Sessions

Self-Paced
Level

Intermediate

Found in

ABOUT THE COURSE:Generative AI tools are being rapidly integrated into professional software development workflows because, for well-specified problems, they often (but not always!) write accurate code. To help students use generative AI tools effectively, this course teaches programming using such tools. It develops two essential skills that are under-emphasised in traditional programming courses: critiquing code (including AI-generated code) and asking clarifying questions.INTENDED AUDIENCE: Primary: Undergraduate Engineering students Secondary: Computer Science facultyPREREQUISITES: High-school MathematicsINDUSTRY SUPPORT: IT Industry (e.g., Infosys, Wipro, Tata Consultancy Services)

Syllabus

Week 1: Introduction: What is programming and how effective are modern GenAI tools at programming? Optional: Installing GenAI tools on your computer.
Week 2:Representing and manipulating data: Fundamental data types (and potential mismatches with a problem’s needs), objects, expressions, assignments, and error handling in Python.
Week 3:Decomposing complex problems: Using functions to represent and solve sub-problems, principles of good function design. Introduction to conditionals and recursion in Python.
Week 4:Critiquing code: Comprehending and testing code (including AI-generated code) to identify potential errors. Introduction to lists and iteration in Python.
Week 5:Debugging problem statements and code: Asking clarifying questions, manual and AI-assisted debugging. Introduction to dictionaries in Python.
Week 6:Learning a new programming language (C): C vs Python: key differences. Introduction to arrays and structs in C.
Week 7:Introduction to memory management in C: A deeper understanding of Python lists by developing a simplified implementation of Python lists in C.
Week 8:Fast implementations: Identifying “hot” Python code and translating into C, a peek ahead into Data Structures and Algorithms.