Coding with Generative AI
Learn to use Generative AI for programming, including neural networks, code generation, fixing syntax errors, and converting procedural code to OOP.
Learn to use Generative AI for programming, including neural networks, code generation, fixing syntax errors, and converting procedural code to OOP.
This comprehensive course explores Generative AI's application in coding, equipping you with the skills to enhance your programming efficiency. You'll learn fundamental concepts of neural network architectures and generative models, discovering how to implement AI tools to generate code quickly. The curriculum covers practical skills like implementing functions and classes, transforming procedural code into object-oriented code, and fixing syntax errors with AI assistance. You'll also explore the differences between exact search methods like StackOverflow and semantic search in ChatGPT. Designed for AI enthusiasts, engineers, data scientists, and solution architects, this course bridges the gap between traditional programming and AI-assisted development, providing hands-on experience through real-world coding challenges.
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What you'll learn
Understand the fundamental concepts of Generative AI and its application in coding
Learn to use generative AI tools to generate code quickly and efficiently
Master techniques for implementing functions and classes with AI assistance
Transform procedural code into object-oriented code using generative tools
Develop skills for identifying and fixing syntax errors with AI
Discover the differences between exact search and semantic search in coding
Skills you'll gain
This course includes:
0.81 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 2 modules in this course
This microlearning course provides a comprehensive introduction to using Generative AI for coding applications. The curriculum is structured to build both theoretical knowledge and practical skills in applying AI to programming tasks. Students first learn about neural network architectures and generative models, establishing a foundation in AI concepts. The course then transitions to practical applications, teaching how to generate code efficiently, implement functions and classes, transform procedural code to object-oriented code, and fix syntax errors using AI tools. Throughout the modules, students engage with hands-on labs and assignments that reinforce the concepts covered, including a project to create an AI-assisted application. The course concludes with discussions on ethical considerations and the future of software development with generative AI.
Course Introduction
Module 1 · 3 Hours to complete
Generate code with GenAI
Module 2 · 8 Hours to complete
Fee Structure
Instructors
Bridging Academia and Industry in Data Science Education
Dr. Arjun Sivasundar has established himself as a distinguished expert in data science education and mentorship, drawing from over two decades of experience across academic and industrial sectors. His academic journey includes prestigious research positions at Stanford University in the USA, the University of Bern in Switzerland, and NCBS-TIFR in India, providing him with a rich international perspective. Currently leading the analytics and data science Learning & Development program at Fractal Analytics, he combines his academic background with practical industry applications to create innovative training solutions. His role extends beyond traditional training as he spearheads innovation contests that encourage creative applications of data science in solving complex business challenges. As an instructor specializing in Coding with Generative AI, he focuses on developing practical skills while fostering out-of-the-box thinking among his students, effectively bridging the gap between theoretical knowledge and real-world application in the rapidly evolving field of data science.
Leading the Future of AI Education with Comprehensive Course Portfolio
Fractal Analytics has established itself as a premier provider of cutting-edge technology education through its extensive course offerings on Coursera, spanning artificial intelligence, data science, and business strategy. The curriculum encompasses sixteen specialized courses, including foundational programs like "Python for Data Science" and "Structured Approach to Problem Solving," alongside cutting-edge offerings in Generative AI with courses such as "GenAI for Everyone," "Generative AI Essentials," and "Coding with Generative AI." The platform demonstrates its commitment to responsible technology implementation through courses like "Responsible AI - Principles and Ethical Considerations" and "Responsible AI in the Generative AI Era," while also addressing human aspects of technology through "Behavior Architecture - Understanding Human Behavior" and "Human Decision Making and its Biases." Advanced technical courses include "Introduction to Vertex AI" and "Quantum Computing For Everyone," complemented by practical business applications through "Data Storytelling," "Generative AI for Consultants," and "Successful AI Strategies: A CEO's Perspective." This comprehensive portfolio reflects Fractal Analytics' dedication to providing well-rounded education in emerging technologies while emphasizing ethical considerations and practical applications.
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Frequently asked questions
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