Architecting Autonomy: Agentic AI Bootcamp

Duration

4 Weeks

Course Code

BDT 531

Available Formats

Instructor-Led Online and Classroom

Description:

Join us for the Architecting Autonomy: Agentic AI Bootcamp, a transformative 4 weeks bootcamp designed for the “Builder Era”. This program equips corporate developers and architects with the skills to move beyond simple chatbots and into the realm of Autonomous Agentic Systems.

Throughout this intensive program, you will master “Vibe Coding” – the art of using AI-native IDEs like Cursor to build software at 10x speed-and dive into LangGraph and Pydantic AI to create stateful, reliable agents. We focus on the Model Context Protocol (MCP) to securely bridge the gap between the Large Language Models (LLMs) and your proprietary enterprise data. By the end of this bootcamp, you will have built a multi-agent system capable of research, decision-making, and execution, fully deployed with enterprise-grade security & observability.

Duration:

4 Weeks

Course Code: BDT 531

Learning Objectives:

After this course, you will be able to:

Docker Introduction: Basic introduction to Docker as it makes it easier to build Agentic AI systems.
Vibe Coding & AI Velocity: Master Agent development IDE, Python, and spec-driven deployment to automate 80% of boilerplate coding .
Stateful Agents with LangChain/LangGraph: Move beyond linear chains to build cyclical state-machine-based agents with persistent memory and human-in-loop approvals.
Pydantic Agents with Pydantic AI: Leverage strict type-safety, dependency injection, and Pydantic structures for production-grade agentic behavior
The MCP Revolution: Build custom servers to connect LLMs directly to your SQL databases, local files, and internal APIs without exposing data to the public web.
Multi-Agent Orchestration: Use to tools like n8n, LangFlow to manage a “digital workforce” where specialized agents collaborate on complex business goals.
Enterprise RAG & Search: Optimize document retrieval using hybrid search, advanced chunking, and vector databases (Pinecone, Supabase, Chroma). (RAG: Retrieval Augmented Generation)
Local AI and Sovereignty: Deploy high-performance models like DeepSeek, Llama locally using Docker for total data privacy.
Voice and Vision Automation: Build real-time voice assistants and automated media pipelines.
AI Security & Compliance: Practical training on the EU AI Act, preventions for prompt injection, and data poisoning defense.

By the end of this AI Bootcamp, you will have the confidence and competence to tackle building Agentic AI systems.

This bootcamp is designed for individuals with a strong interest in AI and a desire to build AI Agents into existing corporate infrastructure. It might include Technical Leads, Software Engineers, and Solution Architects, QA Engineers.

One or more years technical experience
Programming experience with Python is must.
Basic understanding of using Large Language Models, including prompting

Course Outline:

Foundational Python for Agentic AI

Pydantic Library
- Structured inputs/outputs for tools, agents, and workflows
- Typed schemas for message passing
- Models, fields, validators and using BaseModel
AsyncIO Fundamentals
- Event loops, tasks, coroutines, and concurrency primitives
- Running parallel tool calls, API requests

Containerization With Docker

Introduction to Containers
Docker overview
Docker commands
Understanding Dockerfile
Building Docker Containers
Using Docker-Compose for building and testing software

AI Engineering & Vibe Coding

Understanding AI in Software Development
- AI’s role in modern programming workflows
- Strengths and Limitations of AI-powered coding tools
Exploring Free AI Coding Tools
- GitHub Copilot: Auto completion & suggestions
- Codeium: Full AI coding assistant
- Tabnine: AI-assisted code predictions
- Google Gemini for code: AI-generated coding assistance

Pydantic AI: Pythonic Agent Framework

Schema-First Agents: Defining strict I/O using Pydantic Models to ensure JSON reliability
Dependency Injection: Injecting database connections and API clients into agents securely

LangChain & LangGraph: Stateful Intelligence

LangChain Essentials
- Prompt templates
- LCEL (LangChain Expression Language)
- Tool-calling loops
LangGraph Core Concepts
- Nodes & Edges: Building state machines instead of linear chains
- State Management: Using reducers to merge agent updates into a “source of truth”
- Persistence & Checkpointing: Implementing SQLite/Postgres savers to pause and resume agent tasks
- Human-in-loop: Designing nodes that wait for human approval before executing sensitive API calls
LangSmith
- Debugging complex traces
- Running automate eval-frameworks

Model Context Protocol (MCP)

The Protocol Spec
- Understanding the Client-Server relationship in MCP
- STDIO and Streamable HTTP
Pre-built Servers
- Connecting to GitHub, Google Drive and Postgres
Building Custom MCP Servers
- Creating Python/Node.js servers to expose internal legacy APIs to LLMs
- Secure Resource Management: controlling file/data that the AI can “see”

Automation & Low Code Orchestration

Multi-Agent n8n Workflows: building orchestrators that manage multiple sub-agents
Self-Healing Workflows: Implementing error-handling loops that ask an LLM to “fix” a failed HTTP request
Self-Hosting n8n: Deploying via Docker for enterprise data sovereignty

Enterprise RAG & Database Integration

Advanced Vector Search: Hybrid search (Keyword + Semantic), reranking, and parent-document.
Database bridges: Using SQL Agents to turn natural language into secure, read-only Postgres queries

Local AI, Privacy & Security

Local LLM Deployment: Running Ollama, DeepSeek, and Qwen via Docker
The AI Security Stack
- Guardrails: Using Guardrails to prevent toxic or off-topic outputs
- Compliance: Mapping agent behavior to GDPR and the EU AI Act
- Prompt Injection Defense: Techniques for sanitizing user inputs in agentic workflows

Multi-Modal Agents & Deployment

Voice Agents: Low-latency architecture for creating voice agents
Generative Pipelines: Using tools to create visual assets
Cloud hosting: Containerizing agents with Docker and deploying them to cloud

Capstone Project & Use Case

Project Overview
Complete projects to get experience and practice
Presentation of project findings and Insights
Industry Use Case Studies

Certification (Optional)

Certification Overview
Identify the right certification for you
Tips to prepare for certification

1. What is Big Data Trunk?

Big Data Trunk provides professional technology training, including live courses, on-demand learning, corporate training, and certification preparation.

2. What Big Data and technology courses do you offer?

We offer training in Big Data, Data Engineering, Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Business Intelligence, Salesforce, and other emerging technologies.

3. Which Big Data course is best for beginners?

Beginners can start with foundational Big Data and data engineering courses designed to build essential concepts and practical skills.

4. Do you offer online Big Data training?

Yes. Our live instructor-led and on-demand courses provide flexible online learning for professionals and individuals.

5. Do you provide corporate technology training?

Yes. We offer customized corporate training programs designed around your team’s technology requirements and business objectives.

6. Do your courses include hands-on Big Data training?

Yes. Our practical training approach includes real-world examples, exercises, and hands-on learning where applicable.

7. Do you offer certification training and exam preparation?

Yes. Our certification preparation programs help professionals develop the knowledge and skills needed for relevant technology certifications.

8. Are your technology courses suitable for working professionals?

Yes. Our live and on-demand learning options are designed to help working professionals upgrade their skills while managing their existing schedules.

9. How can I choose the right technology training course?

Consider your current experience, career goals, and preferred technology. Our team can also help you select a suitable learning path.

10. How can I enroll in a Big Data Trunk training program?

Browse the available courses and contact our team for course details, schedules, pricing, and enrollment assistance.

I completed the Big Data Developer and Mentorship Program. The course is very informative and interactive. A well defined plan, course contents (labs, extra course material, offshore support team) and tracking system help us learn each component with ease and helps us stay focused.

Java/Hadoop Developer

Overall the content of this training was very good and it provided all details required in slideshow. The trainer was also knowledgeable and was able to clarify the questions raised during the training.

Director

This was an excellent introductory class for a non-specialist that provided me with exactly the kind of foundation and background I was seeking. I would recommend it highly to anyone who wants to understand more about the subject or to use it as the first steps in getting into the field. It will help me evaluate proposals we receive and also guide faculty, staff and students on whether they might benefit from using ML/AI in their work.

Senior Manager

It was extremely helpful to have the beginning of the day explaining more about the background of data governance/etc. I did find that the Tableau exercise was helpful conceptually but I still don’t know if I feel like I know anything about the product. Overall, this was extremely helpful though! Thank you!

Data Architect

I thought Instructor did a great job in these difficult times. One suggestion would be to come up with a uniform plan for acknowledging questions and stick to it throughout the course. I feel like this course met my needs as a beginner to AWS and can’t wait to do more labs. Thanks.

Data Engineer

I love the way he taught Machine Learning class. He started with theory and followed up with some hands-on example of his own. Then he gave students to do some work based on the topics he covered. Also, he always tried to make class interactive, encouraged students to ask questions and clarified almost unlimited time if there are any questions. He is a great instructor and I love to take class with him in future.

Software Developer

I am very interested in further training in Machine Learning and Neural Network and would like to know which course to take next. This is exactly the class I have been looking for to try and set up my project of creating a “smart” medical record system. I would love to be in touch with Instructor in the future to get more advice.

Healthcare Practitioner

Run-through of all concepts. Learning the basic concept of GCP and connecting dot with my work. Simple concepts explained. Holding students attention in an 8 hours virtual class is not easy. I appreciate Instructor’s calm attitude and answering every question asked.

Director

The course was very well presented. An all-day Zoom class is challenging but it was interesting. I thought some of the exercises and quizzes could be made a little more advanced or challenging, but they are good for a general audience.

Software Developer

Large bulk of information being provided in the course as well as really good in depth explanations. The practice exercises are very helpful and I will be referring to them post the class completion.

Software Architect

We just wanted to reiterate our thanks for providing the Intro to ChatGPT training! We had so many individuals very interested in this topic and appreciate your guidance and graciousness in facilitating their learning. We hope to work with you in the future to provide additional sessions.

Project Manager

Looking for Team Training?

Up-skill your team with a customized, private training

Public Classes

Suitable for small teams and individuals

Public Classes

Join the Free 5-days AI LaunchPad Course →

Achieve your goals

Architecting Autonomy: Agentic AI Bootcamp

Description:

Course Outline:

Looking for Team Training?

Public Classes

Get Started

Headquarters

Quick Links

Resources

About Us

Newsletter

Achieve your goals

Architecting Autonomy: Agentic AI Bootcamp

Overview

Description:

Audience

Prerequisites

Curriculum

Course Outline:

FAQ

Reviews

Looking for Team Training?

Public Classes

Get Started

Related Courses

Byte Sized Series: Microsoft Copilot

AI & ML Basics For Executives

Fundamentals of Data Science

Introduction to Machine Learning Basics

AI/ML Byte-Sized Series: Machine Learning Model Optimization

Enter your Email to Download Full Course Details

Modal title