Gen AI Fundamentals
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.
Description for Gen AI Fundamentals
- Define the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models.
- Utilize potent prompt engineering strategies to develop effective prompts and produce the intended results from AI models.
- Explain the ethical concerns and considerations associated with the responsible use of generative AI, as well as the limitations of the technology.
- Acknowledge the potential of generative AI to better your professional life and assist in the implementation of workplace improvements.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera offered by IBM
Duration: 1 month at 5 hours a week
Schedule: Flexible
Pricing for Gen AI Fundamentals
Use Cases for Gen AI Fundamentals
FAQs for Gen AI Fundamentals
Reviews for Gen AI Fundamentals
4.6 / 5
from 5 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Tova Ray
A great add-on to any productivity toolkit.
Asher Lane
The features are aligned well with what I need day-to-day.
Grant Thomas
Has helped sharpen the way I communicate and present information.
Andre Bates
Every time I use it, I save effort and mental energy.
Cleo Vaughn
Helped me streamline my planning process dramatically.
Alternative Tools for Gen AI Fundamentals
Ecommerce Prompts, an AI-powered tool, swiftly creates personalized prompts for online stores, featuring over 2 million pre-designed options and rapid content generation capabilities.
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.
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.
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).
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Featured Tools
Leverage ChatGPT to enhance productivity by automating Excel and programming in Python.
The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.
Gain comprehensive knowledge of ML pipelines, model persistence, Spark applications, data engineering, and hands-on experience with Spark SQL and SparkML for regression, classification, and clustering.
The final course in the Google Advanced Data Analytics Certificate provides an optional capstone project that enables learners to apply their newly acquired skills to real-world business problems. This project is supervised by Google employees and is designed to prepare students for advanced data analytics and data science positions.
Master logistic regression for cancer classification, dataset acquisition via Kaggle API, and cloud-based development with Google Colab.