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
Understand Python methodologies like lambdas, csv file manipulation, and prevalent data science features, including cleansing and processing DataFrame structures.
Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.
Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.
This course provides a comprehensive overview of AI applications, leadership skills, ethical considerations, and policy development for effective and responsible AI usage.
Gain hands-on experience and comprehensive knowledge of GenAI, emphasizing critical thinking and leveraging AI to enhance idea development and prepare for the future of work.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI Tools
Aimed Labs