Descriptions
Agentic AI: Building the Next Generation of Smart Agents, This course contains the use of artificial intelligence. Agentic AI — Building the Next Generation of Smart Agents introduces the evolution of systems that reason, plan, and act autonomously. You will learn how to create intelligent AI agents that combine decision-making, memory, and tool integration to perform tasks independently and safely, and explore how large language models, retrieval mechanisms, and workflow orchestration come together to solve real-world problems.
Through hands-on labs and practical exercises you will build goal-driven autonomous agents using Python, implement memory and knowledge retrieval for context-aware reasoning, integrate tools and APIs for real-time actions, design multi-agent systems that collaborate on complex tasks, and add ethical guardrails and safety layers to ensure responsible autonomy. Each section includes step-by-step coding labs in Jupyter or Google Colab, and by the end you’ll have the foundational principles and technical workflows to design, deploy, and manage agentic AI systems that are intelligent, explainable, and aligned with human values. No advanced AI knowledge is required — just passion, curiosity, and a desire to shape the future of autonomous intelligence.
What you’ll learn
- Understand the foundations of Agentic AI — grasp core principles of agency in AI and how it differs from simple chatbots
- Build and deploy intelligent AI agents — gain hands-on experience designing, coding, and orchestrating agents that can perceive, plan, and act
- Integrate memory, knowledge retrieval, and workflow automation — develop agents capable of retaining context and retrieving information to support reasoning
- Design safe, aligned, and ethical AI systems — implement safety mechanisms, ethical guardrails, and alignment strategies
Who this course is for
- AI enthusiasts and developers curious about how large language models evolve into agents capable of reasoning, planning, and acting autonomously
- Data scientists, ML engineers, and software developers looking to extend AI or automation skills into agentic systems by integrating memory, tools, APIs, and workflows
- Business analysts, product managers, and innovators interested in applying intelligent agents to real-world use cases such as customer support, workflow automation, or AI-driven decision-making
- Students and researchers seeking a practical, hands-on introduction to autonomous AI systems and multi-agent collaboration
- Anyone curious about the future of AI — technical or non-technical — who wants to understand how AI systems can safely act, adapt, and align with human goals
Specificatoin of Agentic AI: Building the Next Generation of Smart Agents
- Publisher : Udemy
- Teacher : Data Science Academy , School of AI
- Language : English
- Level : Beginner
- Number of Course : 17
- Duration : 3 hours and 35 minutes
Content of Agentic AI: Building the Next Generation of Smart Agents
Requirements
- Basic Programming Knowledge (Recommended) Familiarity with Python will help you understand and implement hands-on labs more easily.
- Interest in AI, Automation, or Machine Learning Curiosity about how intelligent systems think, reason, and act is more important than deep technical expertise.
- Comfort Using Online Tools or Jupyter Notebooks Labs will use browser-based environments such as Google Colab or Jupyter for coding demonstrations.
- Internet Connection and a Computer Needed to access course content, run AI demos, and explore APIs or frameworks introduced in the lessons.
Pictures
Sample Clip
Installation Guide
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Quality: 720p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
1.8 GB
