Production Level Agentic AI Course
is a hands-on course that takes learners from building their first 40-line AI agent to deploying, monitoring, and optimizing a production-grade agentic system. Through the course, learners build Atlas, a running AI assistant project, while learning LLM fundamentals, prompt engineering, tool use, MCP, RAG, memory, LangGraph, multi-agent orchestration, evaluation, guardrails, deployment, monitoring, and capstone projects. The curriculum includes 15 modules, 73 sub-modules, and 144 lessons, designed to help learners understand the theory and immediately apply it through real-world builds
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Course Overview
Course Overview
Production Level Agentic AI Course is a hands-on, build-first program designed to take you from AI curiosity to engineering production-ready intelligent systems.
Instead of only learning concepts, you will build Atlas—your own evolving AI assistant—from a simple 40-line agent into a deployed, monitored, secure, and scalable agentic product. Along the way, you will learn how modern LLMs work, how to make them reason and use tools, connect them to real-world services through MCP, retrieve trusted information with RAG, remember users across sessions, collaborate through multi-agent systems, and operate reliably in production.
The course is structured for learners who want practical clarity, not framework magic. You will first build core systems from scratch to understand what happens under the hood, then level up using industry-relevant tools such as LangChain, LangGraph, FastAPI, Docker, Langfuse, LangSmith, and cloud deployment workflows.
By the end, you will have the skills and portfolio projects needed to design, build, evaluate, secure, deploy, and improve real AI agents—whether for customer support, coding assistance, research, finance, or voice-based applications. With 15 modules, 73 sub-modules, and 144 lessons, this course gives you a complete path from your first agent to a production-grade Agentic AI Engineer.
Course Curriculum
17 Subjects
Generative & Agentic AI Engineering
1 Exercises • 2 Learning Materials
Introduction to the course
LMS Introduction
How To Complete this course successfully Video
Quiz: Welcome & How to Succeed in This Course
Python Foundations
35 Exercises • 34 Learning Materials
Python Basics
Python Course Intro
Google colab tutorial step by step guide for be
Quiz: Google Colab Tutorial
Keywords and identifiers and comments
Quiz: Keywords, Identifiers & Comments
Indentation and statements and variables
Quiz: Indentation, Statements & Variables
Data types vs data structures explained
Quiz: Data Types vs Data Structures
Numeric data types and strings
Quiz: Numeric Data Types & Strings
Lists in python methods and manipulation
Quiz: Lists: Methods & Manipulation
Tuples in python mastering immutable data struc
Quiz: Tuples: Immutable Data Structures
Sets in python methods and manipulations
Quiz: Sets: Methods & Manipulations
Dictionaries in python methods and manipulation
Quiz: Dictionaries: Methods & Manipulation
Type casting in python very easy
Quiz: Type Casting
Operators in python part 1
Quiz: Operators (Part 1)
Bitwise operators in python 2s complement
Quiz: Bitwise Operators & 2
If else statement tutorial python
Quiz: if / else Statements
While loops in python how to avoid infinite loo
Quiz: while Loops
Python for loop tutorial real life examples
Quiz: for Loops (Real-life Examples)
Break vs continue vs pass statement in python
Quiz: break vs continue vs pass
Functions in python
Quiz: Functions in Python
Arguments vs parameters in functions args vs kw
Quiz: Arguments vs Parameters (*args / **kwargs)
Map reduce filter in python inbuilt vs user def
Quiz: map / reduce / filter (Inbuilt vs User-defined)
Recursive functions and lambda functions in pyt
Quiz: Recursive & Lambda Functions
Exception handling in python try except finally
Quiz: Exception Handling (try / except / finally)
File handling in python reading and writing to
Quiz: File Handling (Reading & Writing)
Python Fundamentals Assignment
NumPy Arrays
NumPy Arrays Part 1
Quiz: NumPy Arrays Part 1
NumPy Arrays Part 2
Quiz: NumPy Arrays Part 2
NumPy Arrays Part 3
Quiz: NumPy Arrays Part 3
Numpy Assignment
Pandas
Pandas Part 1
Quiz: Pandas Part 1
Pandas Part 2
Quiz: Pandas Part 2
Pandas Part 3
Quiz: Pandas Part 3
Pandas Part 4
Quiz: Pandas Part 4
Pandas Part 5
Quiz: Pandas Part 5
Pandas Part 6
Quiz: Pandas Part 6
Pandas Part 7
Quiz: Pandas Part 7
Pandas Assignment
Interview Questions
Python_Interview_Questions
Advanced python
23 Exercises • 22 Learning Materials
Python OOPS
Python OOP - Why OOP Concepts Matter
Quiz: Why OOP Concepts Matter
Python OOP - Classes and Instances
Quiz: Classes and Instances
Python OOP - __slots__
Quiz: __slots__
Python OOP - Class Variables and Instance Variables
Quiz: Class Variables and Instance Variables
Python OOP - Need for Class Methods and Static Methods
Quiz: Need for Class Methods and Static Methods
Python OOP - Class Methods vs Static Methods
Quiz: Class Methods vs Static Methods
Python OOP - Dunder Methods
Quiz: Dunder Methods
Python OOP - Why We Need Inheritance
Quiz: Why We Need Inheritance
Python OOP - Class Inheritance in Detail
Quiz: Class Inheritance in Detail
Python OOP - Method Overriding and Polymorphism
Quiz: Method Overriding and Polymorphism
Python OOP - Property Decorator, Getter, Setter, and Deleter
Quiz: Property Decorator, Getter, Setter, Deleter
Python OOP - Data Classes
Quiz: Data Classes
Json
JSON - Java Script Object Notation
Quiz: JSON - Java Script Object Notation
Json Code
Quiz: Json Code
API
API Theory Explained
Quiz: API Theory Explained
How to Create a Groq API Key
Quiz: How to Create a Groq API Key
Creating and Saving an OpenAI API Key
Quiz: Creating and Saving an OpenAI API Key
Communicating with APIs via Requests, OpenAI, and Groq
Quiz: Communicating with APIs via Requests, OpenAI, and Groq
Capstone Project - Building Your Own LangChain Framework
Power of LangChain Framework
Quiz: Power of LangChain Framework
Capstone - Building Your Own LangChain Project from Scratch
Quiz: Capstone - Building Your Own LangChain Project from Scratch
Loading Your Mini LangChain as a Package
Quiz: Loading Your Mini LangChain as a Package
Python OOPS 1 Assignment
Python OOPS 2 Assignment
Interview Questions
Advanced_Python_Interview_Questions
NLP Basics, Intuition-First
18 Exercises • 18 Learning Materials
How Machines Learned to Understand Language (Deep Learning, No Math)
How Mahcines Undertsand Language
Quiz: How Machines Understand Language
Tokens: How AI Actually Reads Text
Tokenizaiton
Quiz: Tokenization (Theory)
Tokenizaiton Code
Quiz: Tokenization (Code Walkthrough)
Embeddings: Turning Meaning Into Numbers
Bag Of Words
Quiz: Bag of Words (Theory)
BOW Code
Quiz: Bag of Words (Code Walkthrough)
Word2Vec and Avg Word2Vec
Quiz: Word2Vec and Avg Word2Vec
Word2Vec Code
Quiz: Word2Vec Code
Vector Similarity: Measuring How Close Two Meanings Are
Cosine Similarity
Quiz: Cosine Similarity
Cosine Similarty Code
Quiz: Cosine Similarity (Code Walkthrough)
TF-IDF Theory
Quiz: TF-IDF (Theory)
TF IDF Code
Quiz: TF-IDF (Code Walkthrough)
Transformers & Attention: How a Model Decides What Matters
Transformers Architecture
Quiz: Transformers Architecture
Your First Build: Semantic Search Over Your Own Notes
Open Source vs Closed Source Embedding Models
Quiz: Open Source vs Closed Source Embedding Models
OpenAI API Key Creation Process
Quiz: OpenAI API Key Creation Process
Creating Voyage API Key
Quiz: Creating Voyage AI API Key
Capstone Project: Semantic Search building
Quiz: Project: Semantic Search Building
Cost vs Quality vs Infra Tradeoff
Quiz: Cost vs Quality vs Infra Tradeoff
NLP Assignment
Interview Questions
NLP_Interview_Questions
LLMs: Internals, Parameters, Benchmarking & Cost
20 Exercises • 18 Learning Materials
What an LLM Is: Training, Next-Token Prediction, Context & Limits
How LLMs Are Built - The Four-Phase Lifecycle
Quiz: The 4 Phases of LLM Building
LLM Pre-Training - Data Collection, Tokens, and Base Models
Quiz: Pre-Training Phase
Supervised Fine-Tuning - Building Instruction-Following Models
Quiz: Supervised Fine-Tuning
RLHF - Aligning LLMs with Human Preferences
Quiz: Reinforcement Learning via Human Feedback
LLM Inference - Hallucinations, Knowledge Cutoffs, and Core Terms
Quiz: Inference and Technical Terms
Context Windows - Limits, Long Conversations, and Hallucinations
Quiz: What Exactly is Context Window
Context Engineering - Managing Context for Better LLM Performance
Quiz: Need for Context Engineering
Reading LLM API Responses - OpenAI, Anthropic, and JSON
Quiz: Reading LLM API Responses - OpenAI, Anthropic, and JSON
Controlling Model Output: Decoding Dials & Reasoning vs Base Models
Controlling LLM Output - Multi-Turn Chats, Temperature, and Max Tokens
Quiz: Controlling LLM Output - Multi-Turn Chats, Temperature, and Max Tokens
Reasoning vs Instruct Models - Choosing the Right LLM
Quiz: Reasoning vs Instruct Models - Choosing the Right LLM
Benchmarking LLMs: What the Numbers Really Mean
Evaluating LLMs - Benchmarks, Arenas, and Real-World Testing
Quiz: Evaluating LLMs - Benchmarks, Arenas, and Real-World Testing
Choosing & Pricing an LLM (Incl. Open-Source Models)
LLM API Cost Optimization - Reasoning Effort and Model Choice
Quiz: LLM API Cost Optimization - Reasoning Effort and Model Choice
Choosing an LLM - Cost, Quality, Speed, and Deployment Trade-offs
Quiz: Choosing an LLM - Cost, Quality, Speed, and Deployment Trade-offs
Frameworks & a Provider-Agnostic Model Wrapper (LangChain + OpenAI SDK)
The LangChain Ecosystem - Components, Tooling, and Use Cases
Quiz: The LangChain Ecosystem - Components, Tooling, and Use Cases
Langchain - Working with Invoke, Stream, Batch, Reasoning
Quiz: Langchain - Working with Invoke, Stream, Batch, Reasoning
Capstone Project - Building Multi Model Chatbot - Probelm Overview
Quiz: Capstone Project - Building Multi Model Chatbot - Probelm Overview
Capstone Project - Building it Live
Quiz: Capstone Project - Building it Live
LLM Assignment 1
LLM Assignment 2
LLM Assignment 3
Interview Questions
LLM_Foundations_Interview_Questions
Prompt Engineering
Core Prompting Techniques: From Prompt Anatomy to Meta-Prompting
Foundations of Agentic Systems
What Is an Agent? Autonomy Levels, the Agent Loop & ReAct
Giving an Agent Tools: Function Calling & Tool Use
Real APIs, Tool Sandboxing & Self-Correction
Why Tools Fall Short: An Intro to MCP
Cognitive Framework: Plan-and-Solve
Cognitive Framework: Self-Reflection Loop
RAG — Retrieval-Augmented Generation
Naive RAG
Advanced RAG
Graph RAG
Agentic RAG
Multimodal RAG
Evaluation
MCP — Model Context Protocol
What Exactly Is an MCP — and Why We Need Them
Build Your Own MCP Server From Scratch
Build an MCP for Google (Gmail & Calendar)
Plugging In Third-Party MCP Servers
Where MCP Falls Short: Context Bloat & Limitations
Securing an MCP Server: Auth, Config & Secrets
Memory & Optimization
Short-Term Memory & the Context Window
Long-Term Memory (Vector DBs, Profiling)
Episodic vs Semantic Memory
Context Optimization & Token Budgeting
Context Engineering & Loop Engineering
State Machines & DAGs (LangGraph)
From Loops to State: Why Agents Need a Single Source of Truth
Modeling Agents as Graphs: Nodes, Edges & State in LangGraph
Deterministic Routing: Letting Code Decide the Path
Human-in-the-Loop: Pausing for Approval Before Risky Actions
Evaluation
Why Agents Are Hard to Evaluate
Success-Rate Evaluation: Scoring Non-Deterministic Agents
Trajectory Benchmarking: Did the Agent Take the Efficient Path?
LLM-as-Judge, Eval Datasets & Regression Suites
Multi-Agent Orchestration
Specialized Agents: When a Team Beats One Generalist
Orchestration Patterns: Hierarchical vs Peer-to-Peer Teams
How Agents Communicate: Message Passing vs Shared Memory (A2A / M2M)
Choosing a Multi-Agent Framework: LangGraph vs OpenAI SDK vs CrewAI
Security & Guardrails
Input & Output Guardrails: The First Line of Defense
Tool Guardrails: Constraining What an Agent Can Do
Human-in-the-Loop Guardrails: Approval Gates for Risky Actions
Prompt Injection: How to Break Agents
Sandboxing & Least Privilege: Don't Hand Over the Master Key
Secrets, PII & Data Handling: What an Agent Must Never Leak
Deployment (incl. FastAPI)
Serving an Agent as an API With FastAPI
Containerizing Your Agent With Docker
Async for Agents: Don't Let One Call Freeze Everything
Shipping to the Cloud With CI/CD
Reliability: Retries, Timeouts, Queues & Scaling
Monitoring & Operations
8 Learning Materials
Tracing Every Step of a Live Agent
Build It: Full-Trace Logging for Live Atlas
Observability Tooling: Langfuse & LangSmith
Observability for Agents: Traces, Dashboards & Alerts
Langfuse vs LangSmith: Choosing Your Observability Stack
Build It: Instrument Atlas With Langfuse & LangSmith
Token & Cost Optimization in Production
The 3 AM Bill: Cutting Agent Token Costs in Production
Build It: A Cost & Quality Dashboard for Atlas
Feedback Loops & Continuous Improvement
Closing the Loop: Turning Live Feedback Into a Better Agent
Build It: A Feedback → Eval → Improve Loop for Atlas
Capstone Projects & Portfolio
6 Learning Materials
Choosing & Scoping Your Capstone
How to Scope an Agentic Project That Actually Ships
Capstone A — Customer-Support Agent
Build, Deploy & Monitor a Support Agent End-to-End
Capstone B — Coding / Dev Agent
Build, Deploy & Monitor a Coding Agent End-to-End
Capstone C — Personal-Finance Agent
Build, Deploy & Monitor a Finance Agent End-to-End
Portfolio, Resume & Interview Prep
From Project to Job: Portfolio, Resume & Agent-Engineer Interview Prep
Bonus Capstone — Voice-to-Voice Agent
A Voice-to-Voice Atlas (STT → Agent → TTS)
Course Instructor
Balaji Chippada
18 Courses • 128 Students
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