Google AI Essentials
Generative AI facilitates daily tasks, decision-making, and idea generation, emphasizing responsible use, leveraging prompting techniques, and staying updated on AI advancements.
Description for Google AI Essentials
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 2
Offered by: On Coursera provided by Google
Duration: 3 weeks at 3 hours a week
Schedule: Flexible
Pricing for Google AI Essentials
Use Cases for Google AI Essentials
FAQs for Google AI Essentials
Reviews for Google AI Essentials
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Google AI Essentials
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.
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.
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
Explore AI's applications, benefits, and challenges, with beginner-friendly content and practical insights for professionals and industry leaders.
Learn the Rasa framework to create AI-powered chatbots, which is suitable for Python programmers who are new to chatbot development and lack prior machine learning experience. This course covers the fundamental components and practical applications.
Machine learning mathematics. Find out about the mathematical prerequisites for applications in machine learning and data science.
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Gain a foundational understanding of generative AI, including its functions, key concepts like large language models, datasets, and prompts, and the components used to build and operate AI solutions.
Compare & Review AI Tool Directory Best AI Course Marketplace
Aimed Labs