Gen AI Assisting Software Developers
Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.
Description for Gen AI Assisting Software Developers
- Describe the most common generative AI models and tools for text, code, image, audio, and video, and identify their real-world applications.
- Describe the concepts, examples, and common tools of generative AI prompt engineering, and acquire the necessary techniques to develop effective, impactful prompts.
- Discover the tools and methods that can be employed to produce code fragments, scripts, test cases, and applications by utilizing generative AI models.
- Utilize AI-powered tools and LLMs to create innovative software engineering solutions.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera offered by IBM
Duration: 1 month at 10 hours a week
Schedule: Flexible
Pricing for Gen AI Assisting Software Developers
Use Cases for Gen AI Assisting Software Developers
FAQs for Gen AI Assisting Software Developers
Reviews for Gen AI Assisting Software Developers
4.2 / 5
from 5 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Miko Rani
It behaves predictably, which gives me peace of mind.
Grant Voss
Definitely reduces the time I spend on everyday digital chores.
Owen Barnes
Doesn't require constant adjustments�just works the way you'd expect.
Kara Bloom
Has helped me finish work that would otherwise be delayed.
Ellis Vaughn
Clean, fast, and incredibly easy to adopt.
Alternative Tools for Gen AI Assisting Software Developers
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
Comprehend generative AI basics, practical applications, ethical implications, and potential impacts on student learning in education.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
This course will provide you with an understanding of the technical underpinnings and essential terminology associated with generative artificial intelligence (AI).
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.
Featured Tools
The course provides comprehensive coverage of AI and ML's increasing integration, structured into three sections focusing on business strategy, fundamental technologies, and hands-on projects, to aid in strategy development and technical planning.
Study the potential of machine learning to transform quantum computing experiments by facilitating the precise calibration of semiconductor quantum devices.
Develop advanced AI techniques, including prompt engineering and chatbot development, as well as master large language models and their implementation on Google Cloud.
Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.
In this course, the main business applications of AI/ML are introduced, with an emphasis on tool selection and ethical behavior.