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Agentic AI Bootcamp

Grow Data Skills

By Shubhankit In Grow Data Skills

Live Classes ( From 19-July-2025 )
English
Completion Certificate

Education Images

1 Year

Validity (From the date of Enrollment)

50 Hours

Duration

16

Sessions

5

Projects

Reserve Your Seat 🚨 Enrollment Opens On 3-July-2025 At 5 PM IST

This course includes

Content Duration50 Hours
Total Live Session16
Total Industry Project5
Doubt solving in live classes and offline doubt support on private discord group
Quality Assignments & quizzes after each module
Interview preparation guide
Resume & Linkedin profile making
Dedicated placement assistance
Certificate of completion

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Tech stack you'll learn

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Course Content

✅ Class 1 - Theory

What is Agentic AI? (vs LLMs, Chatbots, Classical AI)
Introduction to MCP (Memory, Code, Planning) Server Concept
Components of an Agentic AI Architecture
Design Patterns: ReAct, ReWOO, Tool Use Pattern, Planning Pattern

✅ Class 2 - Capstone Project

Topic: LangGraph 101 — Finance Bot for Beginners
Understand the core architecture of Agentic AI and MCP
Build your first agent using LangChain and LangGraph
Implement basic memory and tool usage with a finance use case

✅ Class 1 - Theory

Buffer, Summary, VectorStore Memory Architectures
Short-term vs Long-term Memory
Introduction to Planning: Task Decomposition, Flow Design

✅ Class 2 - Capstone Project

Topic: Customer Whisperer — AI Support Bot with LangGraph
Explore Summary and Buffer memory architectures
Add planning capabilities to an agent with conditional flows
Create a chatbot that handles repeat queries with memory

✅ Class 1 - Theory

Why traditional memory fails at scale
RAG vs Agentic RAG
LlamaIndex vs LangChain RAG flows
Adaptive Retrieval Techniques (Cohere, LlamaIndex)

✅ Class 2 - End-to-End Enterprise Project

Topic: Sales Sensei — Report Analyzer with LlamaIndex
Connect to Pinecone or ChromaDB for document storage
Build a RAG-enabled agent to analyze sales reports
Implement summarization and memory over retrieved content

✅ Class 1 - Theory

Multi-Agent Designs: Static vs Dynamic Role Assignment
CrewAI vs LangGraph for role orchestration
Real-world agent team: Planner, Executor, Critic

✅ Class 2 - End-to-End Enterprise Project

Topic: CrewVerse — Multi-Agent Content Machine
Design a planner-executor-critic setup using CrewAI
Build conditional flows and role switching using LangGraph
Automate content creation with multiple collaborating agents

✅ Class 1 - Theory

Workflow Design in Agentic Systems
Phidata: What, Why, How
Autogen: Adaptive roles, HITL (Human-in-the-Loop), Code Execution, Termination Criteria

✅ Class 2 - End-to-End Enterprise Project

Topic: DataSense — Analyst Agent with Phidata
Use Phidata to design structured data analysis workflows
Integrate tools and code execution using Autogen
Build a stateful agent with persistent memory for insights

✅ Class 1 - Theory

What is MCP Server Architecture (Central Memory, Planning, Code Modules)
What is MCP Server Architecture (Central Memory, Planning, Code Modules)
Importance of Evaluation, Tracing, Prompt Management

✅ Class 2 - End-to-End Enterprise Project

Topic: Market Pulse — Stock Analysis Agent with CrewAI
Set up observability using LangSmith and Langfuse
Track tool usage, prompt flows, and evaluate agent output
Apply the MCP architecture for financial data automation

✅ Class 1 - Theory

Building AI agents with drag-and-drop tools
Langflow, Relevance AI, Wordware explained
SQL, SerpAPI, PDF tool integration

✅ Class 2 - End-to-End Enterprise Project

Topic: SEO Wizard — Agent with Relevance AI & Langflow
Build an SEO analysis pipeline using Relevance AI
Use Langflow for visual no-code agent building
Integrate PDF extraction, search ranking, and reporting

✅ Class 1: Planning + Architecture Design

Plans entire trip based on budget, visa, and travel prefs
Integrates mock APIs for booking, location search, visa info
Includes feedback loop + plan editing + memory
Uses LangGraph + Planning + Retrieval + UI (optional)

✅ Class 2: Final Build + Feedback

End-to-end project execution
Team presentations
AgentOps Evaluation
Certification + LinkedIn Showcasing Tips

Attention Seeking Resume Preparation and Interview Strategies
Strategies To Crack Tech Interviews
Linkedin Profile Making
How To Expand Your Professional Network On Linkedin
How To Use Various Job Portals
How To Approach For Referrals

Course Schedule

Course Start Date:

19-July-2025

Mode of the Course:

Live

Course Duration:

50 Hours

Total Sessions:

16

Total Projects:

5

Validity:

1 Year (Starting From The Date Of Enrollment)

Class Timing:

Saturday & Sunday [5:00 PM - 7:00 PM Live Teaching, 7:00 PM to 7:45 PM Live Doubt Session] (IST)

Class Duration:

2 Hours Live Teaching, 45 minutes Doubt Solving

Class Recording Provided:

Yes

Prerequisite:

Python

⚠️ Important Notice :

The video may not work on Linux due to DRM restrictions. It is only accessible on Chrome when using Windows or macOS.

Workaround: To access the video on Linux, you can create a Windows virtual machine (VM) and watch the video through the VM. Alternatively, you can use our Android or iOS application to view the video on your mobile device.

Instructor

Shubhankit Sirvaiya

Shubhankit Sirvaiya is a Data Scientist At World Wide Technology | Ex- Accenture Growth & Strategy , mentored over 700+ students around Data Science Domain.

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