Description for AI for Decision Makers
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Fred Hutchinson Cancer Center
Duration: 3 weeks at 4 hours a week
Schedule: Flexible
Pricing for AI for Decision Makers
Use Cases for AI for Decision Makers
FAQs for AI for Decision Makers
Reviews for AI for Decision Makers
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI for Decision Makers
The course on artificial intelligence (AI) compares AI to human intelligence, investigates the evolution of AI and its implications in industry, and addresses computational thinking, ethical considerations, and curriculum-based thinking skills.
This AI course instructs data scientists on the development of automated algorithms using Watson Studio's AutoAI, with an emphasis on hyperparameter optimization, feature engineering, and model selection.
Begin your AI voyage with our comprehensive course on Microsoft Azure, which covers key AI concepts, responsible AI principles, and preparation for the AI-900 certification exam. This course is suitable for both beginners and experienced professionals.
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.
Secure your organization's future in unstable markets. Acquire the knowledge and abilities necessary to acclimate and succeed in a business environment that is undergoing rapid change.
Learn to develop a text preprocessing pipeline, understand the theory behind Naive Bayes classifiers, and evaluate their effectiveness after training.
Gain a comprehensive understanding of AI applications, concepts, technological progression, software architecture, and deployment considerations across various environments.
This project guides you in setting up and using an Azure Computer Vision Cognitive Services resource to make API calls, providing foundational skills for AI and Machine Learning solutions in Microsoft Azure.
Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.
Learn to identify suitable applications for machine learning, integrate human-centered design principles for privacy and ethical considerations in AI product development, and lead machine learning projects following data science methodology and industry standards.
Featured Tools
The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.
Learn linear algebra concepts, including eigenvalues and eigenvectors, and apply them to practical problems using Python and Jupyter notebooks.
Learn the basics of Generative AI and its economic and business impact, employment consequences, potential risks, and insights from industry leaders like Google and OpenAI.
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
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.
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