From Goal Based to Self Learning AI Agnts
Are you interested in learning how to create intelligent systems that can solve real-world problems? Do you want to explore the fascinating field of artificial intelligence and its applications? If yes, then this course is for you! This course consists of six lectures as well as several handouts and resources. By utilizing everything in this course, you can become an expert in AI Agents today! Don’t miss out on this exciting opportunity, and this exciting course.
What you’ll learn
- Define the concept of an AI agent and its components, such as sensors, actuators, state, and goals..
- Compare and contrast different types of AI agents, such as simple reflex agents, model-based agents, goal-based agents, utility-based agents, learning agents.
- Implement AI agents using Python and various tools and frameworks, such as ML-Agents, Q-learning, and reinforcement learning..
- Apply AI agents to solve real-world problems, such as games, robotics, natural language processing, and computer vision..
Course Content
- Introduction –> 6 lectures • 45min.
Requirements
Are you interested in learning how to create intelligent systems that can solve real-world problems? Do you want to explore the fascinating field of artificial intelligence and its applications? If yes, then this course is for you! This course consists of six lectures as well as several handouts and resources. By utilizing everything in this course, you can become an expert in AI Agents today! Don’t miss out on this exciting opportunity, and this exciting course.
In this course, you will:
- Learn the basic concepts and terminology of AI and intelligent agents
- Understand the different types of AI agents, such as simple reflex agents, model-based agents, goal-based agents, utility-based agents, learning agents, and hierarchical agents
- Implement AI agents using Python and various tools and frameworks, such as ML-Agents, Q-learning, and reinforcement learning
- Apply AI agents to solve real-world problems, such as games, robotics, natural language processing, and computer vision
- Evaluate the performance and limitations of AI agents, and explore the ethical and social implications of AI
By the end of this course, you will have a solid foundation of AI and intelligent agents, and you will be able to create your own AI projects and applications. You will also receive a certificate of completion that you can showcase on your resume and portfolio.