Master Agentic AI — create smart, self-directed agents powered by LLMs, memory, and orchestration frameworks.
Description
“This course contains the use of artificial intelligence”
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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.
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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:
Build a goal-driven autonomous agent 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 to complete complex tasks
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.
| Total Students | 337 |
|---|---|
| Duration | 3.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 17 |
| Number of quizzes | 0 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Data Science Academy |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 3.5 hours
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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