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AI Programming: Master Large Language Models for Coding

Learn to leverage AI and LLMs for efficient software development. Master code writing, debugging, and optimization using ChatGPT and other AI tools.

Learn to leverage AI and LLMs for efficient software development. Master code writing, debugging, and optimization using ChatGPT and other AI tools.

This comprehensive course explores the practical application of AI large language models in software development. Students learn to harness AI tools like ChatGPT and Bard to enhance coding efficiency and productivity. The curriculum covers essential topics including AI-assisted code writing, debugging, refactoring, and documentation. With a focus on ethical considerations and best practices, the course provides hands-on experience through browser-based activities. Designed for both professionals and students, it emphasizes responsible AI usage while teaching practical strategies for code optimization and comprehension.

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AI Programming: Master Large Language Models for Coding

This course includes

12 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Understand AI and LLMs fundamentals for software development

  • Master AI-assisted code writing and debugging techniques

  • Learn effective code refactoring using AI tools

  • Develop skills in AI-powered code documentation

  • Implement ethical AI practices in programming

  • Gain practical experience with multiple AI programming tools

Skills you'll gain

AI programming
LLMs
code optimization
software development
ChatGPT
code refactoring
ethical AI
debugging
documentation
bioinformatics

This course includes:

21 Minutes PreRecorded video

13 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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There are 4 modules in this course

This comprehensive course focuses on leveraging AI and large language models for efficient software development. Through four detailed modules, students explore the fundamentals of AI-assisted programming, ethical considerations, and practical applications. The curriculum covers essential topics including code writing, debugging, refactoring, and documentation using AI tools. Special emphasis is placed on responsible AI usage and practical implementation strategies, with hands-on activities and real-world examples. The course concludes with specialized applications in bioinformatics and handling private data.

Introduction; Ethics of Using AI

Module 1 · 2 Hours to complete

Writing Code; Refactoring Code

Module 2 · 4 Hours to complete

Annotating Your Code; Understanding Unfamiliar Code

Module 3 · 4 Hours to complete

AI for Bioinformatics

Module 4 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructors

Carrie Wright, PhD
Carrie Wright, PhD

3.9 rating

16 Reviews

3,977 Students

6 Courses

Pioneering Data Science Education and Computational Biology Innovation

Carrie Wright, PhD, serves as a Senior Staff Scientist at Fred Hutchinson Cancer Center and holds an affiliated faculty position at Johns Hopkins Bloomberg School of Public Health, where she focuses on making data science and computational biology more accessible to diverse audiences. Her expertise spans multiple domains, teaching courses including "AI for Decision Makers," "AI for Efficient Programming," "Avoiding AI Harm," "Best Practices for Ethical Data Handling," "Data Management and Sharing for NIH Proposals," and "Write Smarter with Overleaf and LaTeX." Her distinguished career includes significant contributions as a former Assistant Scientist in Biostatistics at Johns Hopkins and postdoctoral research at the Lieber Institute for Brain Development, where she studied genetic mechanisms in psychiatric disease. As a member of the Open Case Studies team, the Genomic Data Science Community Network, and chair of the ITCR OPEN Group, she demonstrates her commitment to advancing science, medicine, and social justice through accessible data science education. Her innovative work includes co-founding the LIBD rstats club and teaching at various institutions, including the Baltimore Underground Science Space and Johns Hopkins Center for Talented Youth.

Ava Hoffman, PhD
Ava Hoffman, PhD

1,422 Students

4 Courses

Bridging Data Science, Ecology, and Genomics Research

Ava Hoffman, PhD, serves as a Senior Staff Scientist at Fred Hutchinson Cancer Center, where she leads groundbreaking initiatives in making genomics research more accessible through cloud-based resources. Her unique expertise spans both ecological and data sciences, with particular focus on population genetics and statistical modeling in natural environments. As an instructor for multiple courses including "AI for Decision Makers," "AI for Efficient Programming," "Data Management and Sharing for NIH Proposals," and "Exploring AI Possibilities," she brings a practical approach to complex topics. Her research interests include urban plant evolution and its connection to public health outcomes, particularly studying how plants adapt to city environments. Beyond her academic work, she serves on the board of Slow Food Baltimore, demonstrating her commitment to sustainable practices. Her work with the AnVIL Project and the Genomic Data Science Community Network (GDSCN) showcases her dedication to democratizing genomics research. She combines her technical expertise with practical applications, engaging in activities from coding to climbing, while maintaining a DIY approach to problem-solving.

AI Programming: Master Large Language Models for Coding

This course includes

12 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.