Description
Generative AI vs Agentic AI Course. This course examines the key differences between generative and agentic AI. Generative AI, such as GPT and diffusion models, operates on learned patterns and is primarily responsible for creating a variety of content such as text, images, or code. In contrast, agentic AI refers to systems that can make autonomous decisions, set specific goals, and intelligently interact with their environment to achieve them. These systems, which utilize frameworks such as reinforcement learning and multi-agent architectures, exhibit capabilities such as planning, reasoning, and adaptation. This course is designed for developers, researchers, and managers who need to understand these critical distinctions. The course content includes analyzing technical fundamentals, case studies of real projects, and examining the ethical and practical implications of these technologies in industries such as health, business, and robotics, so that participants can design intelligent solutions and critically evaluate advanced systems.
What you will learn
- Understanding the basics and evolution: Understanding the path of AI progress from rule-based systems to generative models and ultimately agent-based systems.
- Exploring Generative Artificial Intelligence: Learn how systems generate content (text, images, music, and code) and get acquainted with popular tools such as ChatGPT, DALL-E, and Midjourney.
- Agentic AI Analysis: Understanding the characteristics that make an AI an agent, such as autonomy, goal setting, and decision-making power, with examples such as AutoGPT and ReAct.
- Expert Comparison: Exploring key differences in the areas of memory, learning, and interaction and using visual frameworks to discern the role of each in real-world scenarios.
- Practical exercises: Carrying out practical activities in the field of Prompt Engineering for generative models and designing workflows for agent systems, along with examining ethical constraints.
This course is suitable for people who:
- Enthusiasts and Beginners: Anyone interested in machine learning (ML) and artificial intelligence.
- Technical professionals: Data Scientists and Software Engineers looking to update their knowledge.
- Managers and Leaders: Product managers and business leaders who want to harness the potential of automation in their organization.
- Futurist researchers: Anyone who is eager to learn more about the future of artificial intelligence, automation, and its societal impacts.
Generative AI vs Agentic AI Course Specifications
- Publisher: Udemy
- Instructor: Sumit Puri
- Training level: from beginner to advanced
- Training duration: 1 hour and 19 minutes
- Number of lessons: 22
Course topics
Prerequisites for the Generative AI vs Agentic AI course
- No programming and IT skills required in this
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
854 MB
