Coding with Generative AI
This course is part of Generative AI for Developers Specialization.
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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Instructors:
English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 20 more
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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
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI for Developers Specialization
Instructors
Diverse, Industry-Focused AI and Data Science Courses
Fractal Analytics, as a leading Coursera partner, provides a comprehensive suite of online courses and professional certificates in English, covering topics such as Generative AI, data science, human behavior, coding, data storytelling, responsible AI, and quantum computing. Their offerings include foundational and advanced programs like "GenAI for Everyone," "Coding with Generative AI," "Data Frameworks for Generative AI," and "Python for Data Science," catering to learners from various backgrounds and industries. These courses are designed for continuous learning, blending instructor-led, eLearning, and blended formats, and aim to equip professionals and organizations with in-demand skills for the evolving digital economy, while also supporting career advancement through recognized certifications and practical, hands-on projects
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.
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Frequently asked questions
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