Description for AI for Business
Features of the Course:
- Examine the historical development of Generative AI and AI in order to foster critical thinking.
- Distinguish between a variety of generative AI models and determine their advantages in different frameworks.
- Formulate strategies for the integration of generative AI applications into business environments and identify the most suitable models for particular contexts.
- Describe the advantages and benefits of incorporating generative AI into real-world business settings.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera offered by Coursera Instructor Network
Duration: 2 hours
Schedule: Flexible
Pricing for AI for Business
Use Cases for AI for Business
FAQs for AI for Business
Reviews for AI for Business
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI for Business
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.
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.
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.
Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Featured Tools
Become the leader your data team requires. In four courses, acquire the skills necessary to lead a data science team that produces high-quality analyses.
Generative AI for Data Privacy & Protection' course delves into the intersection of Generative AI and data privacy strategies, targeting professionals to gain insights, investigate methodologies, and comprehend AI's impact on data privacy, with accessibility for diverse audiences regardless of prior knowledge.
The course highlights the curriculum focused on statistics and machine learning, covering descriptive statistics, data clustering, predictive model development, and analysis capability development.
Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.
Learn to differentiate between deep learning, machine learning, and artificial intelligence (AI), select the appropriate AWS machine learning service for specific use cases, and understand the process of developing, training, and deploying machine learning models.