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Course available for 3 months after purchase

🎓 Course Title:
Mastering Agentic AI: Design, Build & Deploy Intelligent AI Agents

"Learn how to design autonomous agents that think, reason, and act – from foundations to real-world deployment."

📘 Course Overview:
This course teaches the principles of Agentic AI – the art and science of building intelligent, autonomous, and goal-driven agents. Learners will explore agent architecture, decision-making models, memory, tool use, LLM-powered agents, and popular agent frameworks like LangChain, AutoGPT, CrewAI, AgentVerse, and ReAct.

🧠 Target Audience:
AI/ML Engineers

Python Developers

Product Developers and Innovators

Startup Founders

Anyone exploring intelligent automation and LLM integration

📚 Module-wise Course Breakdown
Module 1: Introduction to Agentic AI
What is an AI Agent?

Evolution from Traditional AI to Agentic AI

Components: Perception, Memory, Planning, Action

Difference between Prompt Engineering and Agentic Thinking

Real-world use cases (Support bots, Robo-traders, Autonomous research)

Module 2: Core Concepts of Intelligent Agents
Types of Agents: Reactive, Model-based, Goal-based, Utility-based

Agent Architecture:

Perception → Thinking → Planning → Acting

Knowledge Representation and Reasoning (KRR)

Multi-agent Systems & Cooperative Agents

Module 3: Building Blocks of Agentic AI
Internal Memory (Short-term vs Long-term)

Tool Usage & Environment Interaction

Goals, Tasks, and Prioritization

Decision Trees, FSM, and Behavior Trees

Evaluation Metrics for Agents

Module 4: LLM-Powered Agent Frameworks
Introduction to LangChain Agents

Overview of AutoGPT, BabyAGI, and CrewAI

Comparison of major frameworks: Pros & Cons

When to use which framework?

Module 5: Hands-On with LangChain Agents
Setting up LangChain

Creating a Simple ReAct Agent

Toolkits and Tools Integration (Search, Calculator, FileReader)

Memory Integration: ChatMemory and Vector Databases

Agent Executor Flow

Module 6: Advanced Agent Orchestration
Multi-Agent Collaboration using CrewAI / AutoGen

Delegation and Workflow Planning

Role Assignment and Agent Autonomy

Tools Routing and Tool Selection

Creating Autonomous Research Agents

Module 7: Real-World Use Cases
Agentic AI for:

Customer Support

Content Creation

Market Research

Trading Bots

Personal Assistants

Workflow Automation in Enterprise

Case Study: Building a “Research Assistant” Agent

Module 8: Tools, APIs & Deployment
Integrating APIs: Google Search, Zapier, Notion, Slack, etc.

Connecting to Vector Stores (Pinecone, Chroma, FAISS)

Logging, Monitoring, and Analytics

Deploying Agents on the Web using Streamlit / Gradio

Security & Guardrails

Module 9: Challenges & Future of Agentic AI
Ethical and Safety Considerations

Limitations of Agentic AI Today

Future Trends: Agentic AGI, Self-Improving Agents

Human-Agent Co-evolution and Alignment

🧪 Bonus Module: Capstone Project
🛠 Project Title: “Design Your Own Personal Research Assistant”

Define agent goal and tools

Add memory and context

Make it search, summarize, and answer

Deploy with UI

Submit for review and get feedback

🏅 What Learners Will Get
Certificate of Completion

Downloadable Jupyter Notebooks and Scripts

Access to a Private Community

Templates for Reusable Agent Designs

Lifetime Access to Course Updates



Agentic AI Mastery

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Module 1-Introduction to Agentic AI

3 Month(s)

6 Month(s)

1 Year

Maharashtra

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Hey! I’m learning with Dr AI Academy and you can too. Here’s a course you might like: Agentic AI Mastery by Dr AI Academy
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Hey! I’m learning with Dr AI Academy and you can too. Here’s a course you might like: Agentic AI Mastery by Dr AI Academy
    https://courses.draiacademy.com/courses/668844?utm_source=copy-link&utm_medium=social&utm_campaign=web-course-share