Description for Introduction to Watson AI
Foundational Principles of AI and Watson Machine Learning: Develop a solid understanding of the fundamental principles of AI and Watson Machine Learning, which will serve as the foundation for further investigation.
The Workings of IBM Watson AI: Acquire a comprehension of the fundamental mechanisms and functions of IBM Watson AI.
IBM Cloud Watson AI Services: Investigate the Watson AI services that are accessible on the IBM Cloud and comprehend the manner in which they are employed by organizations.
Common Use Cases for AI: Identify and analyze the typical use cases in which AI, particularly Watson, is implemented in real-world scenarios.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX in IBM
Duration: 4�8 hours per week approx 8 weeks
Schedule: Flexible
Pricing for Introduction to Watson AI
Use Cases for Introduction to Watson AI
FAQs for Introduction to Watson AI
Reviews for Introduction to Watson AI
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Introduction to Watson AI
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.
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.
Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.
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.
Featured Tools
Define Large Language Models and their use cases, explain prompt tuning, and overview tools for Gen AI development at Google.
Gain a comprehensive understanding of AI concepts and practical skills by utilizing Python and visual tools to apply them to real-world tasks such as natural language processing, computer vision, and machine learning.
Potential for data-driven decision-making has been realized. Students will acquire the skills to access, manage, analyze, and visualize data to secure a competitive edge in strategic business decision-making.
Acquire proficiency in machine learning and deep learning methodologies, such as TensorFlow, CNNs, RNNs, LSTMs, and NLP, to facilitate efficient data analysis.
The course's main objectives are to deploy solutions using Vertex AI and integrate machine learning into Google Cloud data pipelines, such as AutoML and BigQuery ML.