AI Accessible to Everyone: Master the Basics
Acquire an extensive understanding of the AI industry, including its core principles, ethical challenges, and career paths.
Description for AI Accessible to Everyone: Master the Basics
AI and Its Applications: Gain an understanding of the real-world applications of AI and the ways in which it is revolutionizing a variety of sectors.
Key AI Concepts: Obtain a deeper understanding of fundamental concepts such as Neural Networks, Deep Learning, and Machine Learning.
Ethical Considerations in AI: Investigate the primary ethical challenges and concerns that are linked to AI technology.
Expert Advice on Careers: Acquire professional advice on how to initiate a career in AI and expand your expertise in the field.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 13
Offered by: On edX provided by IBM
Duration: 1�2 hours per week approx 4 weeks
Schedule: Flexible
Pricing for AI Accessible to Everyone: Master the Basics
Use Cases for AI Accessible to Everyone: Master the Basics
FAQs for AI Accessible to Everyone: Master the Basics
Reviews for AI Accessible to Everyone: Master the Basics
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI Accessible to Everyone: Master the Basics
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.
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.
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.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Featured Tools
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.
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.
Learn to develop a text processing pipeline and understand LSTM and Recurrent Neural Networks to train and assess deep learning models.
Gain a foundational understanding of generative AI, including its functions, key concepts like large language models, datasets, and prompts, and the components used to build and operate AI solutions.
Through hands-on coding lessons and tasks, this course teaches you the complete process of using TensorFlow to create deep learning models, from creating and training models to checking their accuracy and saving them.