Description for Gen AI - Art of the Possible An Intro
Level: Beginner
Certification Degree: No
Languages the Course is Available: 21
Offered by: On Coursera provided by Amazon Web Services
Duration: 1 hour to complete
Schedule: Flexible
Pricing for Gen AI - Art of the Possible An Intro
Use Cases for Gen AI - Art of the Possible An Intro
FAQs for Gen AI - Art of the Possible An Intro
Reviews for Gen AI - Art of the Possible An Intro
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Gen AI - Art of the Possible An Intro
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
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.
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
Learn to load data, create features, and build and evaluate both supervised and unsupervised models in BigQuery for fraud and anomaly detection.
While addressing privacy and security concerns, learners will acquire proficiency in the use of LLMs and tools for a variety of applications.
Learners gain essential AI engineering abilities from the course, such as prompt engineering, LangChain integration, and RAG approach application.
Gain a comprehensive understanding of NLP, machine learning, deep learning (including TensorFlow, CNNs, RNNs, and LSTMs), and deep learning to facilitate the development of models and data analysis.
Brief Summary This course analyzes the deployment of machine learning models on Arm microcontrollers, with an emphasis on real-world applications in edge computing.