[100% Off] Agentic Ai: Building The Next Generation Of Smart Agents
Master Agentic AI — create smart, self-directed agents powered by LLMs, memory, and orchestration frameworks.
What you’ll learn
- Understand the Foundations of Agentic AI Learners will grasp the core principles of agency in AI
- differentiating between chatbots.
- Build and Deploy Intelligent AI Agents Students will gain hands-on experience designing
- coding
- and orchestrating AI agents that can perceive
- plan.
- Integrate Memory
- Knowledge Retrieval
- and Workflow Automation Learners will develop agents capable of retaining context
- retrieving information.
- Design Safe
- Aligned
- and Ethical AI Systems Students will learn to implement safety mechanisms
- ethical guardrails
- and alignment strategies.
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.
Description
“This course contains the use of artificial intelligence”
Agentic AI – Building the Next Generation of Smart Agents
Step into the future of Artificial Intelligence with this comprehensive course on Agentic AI — the evolution of systems that don’t just react but reason, plan, and act autonomously.
In this course, you’ll learn how to create intelligent AI agents that combine decision-making, memory, and tool integration to perform tasks independently and safely. You’ll explore how Large Language Models (LLMs), retrieval mechanisms, and workflow orchestration come together to build powerful agentic systems capable of solving real-world problems.
Through hands-on labs and practical exercises, you will:
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Build a goal-driven autonomous agent using Python
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Implement memory and knowledge retrieval for context-aware reasoning
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Integrate tools and APIs for real-time actions
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Design multi-agent systems that collaborate to complete complex tasks
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Add ethical guardrails and safety layers to ensure responsible autonomy
Each section includes step-by-step coding labs in Jupyter or Google Colab, helping you gain practical skills from theory to implementation.
By the end of this course, you’ll have mastered 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 required — just passion, curiosity, and a desire to shape the future of autonomous intelligence.
