Description for Artifical Intellegience (AI)
Artificial Intelligence Foundations: Comprehend the history, principles, and development of AI, including the concept of sentient agents.
Intelligent Agent Design: Develop intelligent agents by employing techniques such as constraint satisfaction, logic, game theory, and search algorithms.
Machine Learning Algorithms: Acquire an understanding of the fundamental machine learning algorithms and their applications in artificial intelligence.
Practical Applications of AI: Investigate the practical applications of AI, such as Natural Language Processing, Robotics, and Vision, and resolve real-world issues using Python programming.
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by ColumbiaX
Duration: 8�10 hours per week approx 12 weeks
Schedule: Instructor-paced
Pricing for Artifical Intellegience (AI)
Use Cases for Artifical Intellegience (AI)
FAQs for Artifical Intellegience (AI)
Reviews for Artifical Intellegience (AI)
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Artifical Intellegience (AI)
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
Understand foundational knowledge of AI and RegTech, their societal implications, and the discourse around their future integration and obstacles.
Brief Overview: By enabling business professionals to use data science expertise in real-world scenarios, this specialization gets them ready for the CDSP certification.
Provides learners with the necessary skills to implement advanced AI concepts and practical applications through an examination of reinforcement learning.
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.
Develop proficiency in the utilization of generative AI to facilitate innovation, execute business strategies, and address ethical concerns.