Description for GenAI and LLMs on AWS
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Duke University
Duration: 45 hours (approximately)
Schedule: Flexible
Pricing for GenAI and LLMs on AWS
Use Cases for GenAI and LLMs on AWS
FAQs for GenAI and LLMs on AWS
Reviews for GenAI and LLMs on AWS
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for GenAI and LLMs on AWS
This AI Forecast tool, powered by machine learning, offers accurate forecasts for business needs, featuring automated data processing, customizable models, and seamless integration with AWS, yet novices may find its ML-based approach challenging, and data transfer costs may apply.
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
Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.
Explore the use of generative AI for creating and optimizing code, employing tools like IBM Watsonx Code Assistant and GitHub CoPilot, while addressing associated ethical considerations and challenges.
Construct and train neural networks and tree ensemble methods using TensorFlow, while applying effective machine learning practices for real-world data generalization.
Learn to analyze meeting recordings for improving plans and team coordination, utilize Microsoft 365 Copilot effectively, and develop personalized marketing content using Generative AI.
Learn to use TensorFlow for computer vision and natural language processing, manage image data, prevent overfitting, and train RNNs, GRUs, and LSTMs on text repositories.
Compare & Review AI Tool Directory AI Course Marketplace
Today's Featured Blogs
AI and the Future of VotingAI in CookingAI in Enhancing Mindfulness and Meditation How AI is Personalizing Fitness Plans Power of AI in Emotion Recognition AI and Personal Safety
Aimed Labs