Detailed Course Syllabus:
Duration: 13 Weeks
Course Description:
This course will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. We will finish the program by learning how to envision, create, and maintain integrated systems that run constantly in production. Production systems must manage constantly changing data, in stark contrast to typical machine learning modeling. The production system must also operate continuously at the lowest possible cost while delivering the highest possible performance.
Course Outline:
AI Applications:
This section should cover some of the popular AI applications, including chatbots, recommendation systems, fraud detection, and autonomous vehicles.
AI Tools and Technologies:
This section should cover some of the popular AI tools and technologies, including Python, TensorFlow, Keras, and PyTorch.
AI Implementation:
This section should cover the practical aspects of implementing AI, including data preparation, model training, deployment, and evaluation.
AI Future:
This section should cover the future of AI, including emerging trends, opportunities, and challenges.