AI Agent Engineer – Complete Career Accelerator Program

Teacher

Deepthi Managalagiri

Categories

Machine Learning

₹25,000.00 ₹15,000.00

ChatGPT Image May 30, 2026, 07_22_03 AM

Course Features

Lectures 272
Quiz 0
Duration 10 weeks
Skill level All levels
Language English
Students 0
Certificate No
Assessments Yes

Curriculum

67 Sections
272 Lessons
10 Weeks

Expand all sectionsCollapse all sections

Programming Fundamentals
6
- 1.1
  Logic Building & Computational Thinking
- 1.2
  What is Programming?
- 1.3
  VS Code Installation & Extensions
- 1.4
  Python Installation & Setup
- 1.5
  How Software Works
- 1.6
  Development Environment Setup
AI Fundamentals
7
- 2.1
  What are AI Agents?
- 2.2
  Traditional AI vs Generative AI
- 2.3
  Real-World AI Use Cases
- 2.4
  Introduction to Artificial Intelligence
- 2.5
  AI Applications vs AI Agents
- 2.6
  Modern AI Ecosystem Overview
- 2.7
  AI Engineering Career Roadmap
Python Basics
4
- 3.1
  Variables & Data Types
- 3.2
  Input & Output Operations
- 3.3
  Operators & Expressions
- 3.4
  Typecasting & Comments
Control Flow
4
- 4.1
  Conditional Statements (if, elif, else)
- 4.2
  Loops (for, while, range)
- 4.3
  break & continue
- 4.4
  Problem Solving with Loops
Data Structures
3
- 5.1
  Strings
- 5.2
  Lists & Tuples
- 5.3
  Sets & Dictionaries
Functions & Recursion
4
- 6.1
  Functions in Python
- 6.2
  Scope & Arguments
- 6.3
  Lambda Functions
- 6.4
  Recursion
Object-Oriented Programming
9
- 7.1
  OOP Introduction
- 7.2
  Classes & Objects
- 7.3
  Constructors
- 7.4
  Attributes & Methods
- 7.5
  Inheritance
- 7.6
  Polymorphism
- 7.7
  Encapsulation
- 7.8
  Abstraction
- 7.9
  Access Modifiers
Advanced Python
6
- 8.1
  Exception Handling
- 8.2
  File Handling
- 8.3
  Modules & Packages
- 8.4
  Virtual Environments
- 8.5
  Package Management (pip)
- 8.6
  Python Module Index & PyPI
Practice & Assignments
3
- 9.1
  Python Practice Problems
- 9.2
  Mini Projects
- 9.3
  Python Revision Sessions
API Basics
5
- 10.1
  What are APIs?
- 10.2
  REST APIs
- 10.3
  HTTP Methods
- 10.4
  Request & Response Cycle
- 10.5
  Status Codes
Working with APIs
5
- 11.1
  JSON Handling
- 11.2
  Sending HTTP Requests
- 11.3
  API Authentication
- 11.4
  Webhooks
- 11.5
  API Testing
Backend Development
5
- 12.1
  FastAPI Introduction
- 12.2
  Flask Basics
- 12.3
  Building APIs
- 12.4
  Environment Variables
- 12.5
  Backend Best Practices
Database Fundamentals
3
- 13.1
  Introduction to Databases
- 13.2
  SQL Basics
- 13.3
  CRUD Operations
SQL & NoSQL Databases
3
- 14.1
  PostgreSQL
- 14.2
  MongoDB
- 14.3
  Firebase
AI Data Management
4
- 15.1
  Storing Conversations
- 15.2
  User Memory Systems
- 15.3
  Session Management
- 15.4
  Knowledge Persistence
Database Security
3
- 16.1
  Authentication & Permissions
- 16.2
  Database Optimization
- 16.3
  Secure Data Storage
Git, GitHub & Developer Workflow
10
- 17.1
  Introduction to Git
- 17.2
  Git Installation & Setup
- 17.3
  Git Commands
- 17.4
  GitHub Fundamentals
- 17.5
  Branching & Merging
- 17.6
  Collaboration Workflow
- 17.7
  Pull Requests
- 17.8
  Open Source Contributions
- 17.9
  Project Versioning
- 17.10
  Developer Best Practices
Fundamentals of Large Language Models (LLMs)
5
- 18.1
  What are LLMs?
- 18.2
  How LLMs Work
- 18.3
  Tokens & Embeddings
- 18.4
  Transformer Architecture
- 18.5
  Context Windows
LLM Parameters
4
- 19.1
  Temperature
- 19.2
  Top-P Sampling
- 19.3
  Max Tokens
- 19.4
  Hallucinations & Limitations
AI Models & Providers
5
- 20.1
  Anthropic Models
- 20.2
  OpenAI Models
- 20.3
  Gemini Models
- 20.4
  Open Source Models
- 20.5
  Ollama & OpenRouter
APIs & Cost Optimization
4
- 21.1
  LLM APIs
- 21.2
  API Pricing
- 21.3
  Model Selection Strategies
- 21.4
  Token Usage Optimization
Prompting Fundamentals
4
- 22.1
  Introduction to Prompt Engineering
- 22.2
  Zero-Shot Prompting
- 22.3
  Few-Shot Prompting
- 22.4
  Role-Based Prompting
Advanced Prompting
4
- 23.1
  Chain-of-Thought Prompting
- 23.2
  Self-Consistency Prompting
- 23.3
  Structured Output Prompting
- 23.4
  Prompt Chaining
Security & Optimization
4
- 24.1
  Prompt Optimization
- 24.2
  AI Safety
- 24.3
  Prompt Injection Attacks
- 24.4
  Context Engineering
RAG Fundamentals
3
- 25.1
  RAG Architecture
- 25.2
  Introduction to RAG
- 25.3
  Semantic Search
Embeddings & Vector Databases
5
- 26.1
  Embeddings
- 26.2
  Vector Stores
- 26.3
  Pinecone
- 26.4
  ChromaDB
- 26.5
  FAISS
Document Processing
4
- 27.1
  Text Loaders
- 27.2
  PDF Loaders
- 27.3
  CSV Loaders
- 27.4
  Web Loaders
Chunking & Retrieval
4
- 28.1
  Chunking Techniques
- 28.2
  Recursive Text Splitters
- 28.3
  Hybrid Search
- 28.4
  Document Retrieval
Building RAG Systems
4
- 29.1
  Chat with PDFs
- 29.2
  RAG Pipelines
- 29.3
  RAG Optimization
- 29.4
  Production RAG Systems
Memory Systems in AI
• Short-Term Memory • Long-Term Memory • Context Management • Conversation History • Persistent Memory • User Personalization • Session Handling • Memory Optimization • AI Context Engineering
0
Agent Basics
0
Reasoning & Planning
4
- 32.1
  Planning & Reasoning
- 32.2
  Autonomous Decision Making
- 32.3
  Task Execution Flow
- 32.4
  ReAct Framework
Tool Usage
3
- 33.1
  Tool Calling
- 33.2
  Function Calling
- 33.3
  Human-in-the-Loop Systems
External Integrations
3
- 34.1
  Tool Registration
- 34.2
  Working with External APIs
- 34.3
  Search Integrations
Real-World APIs
4
- 35.1
  Weather APIs
- 35.2
  Email APIs
- 35.3
  Calendar APIs
- 35.4
  Payment APIs
Automation
3
- 36.1
  Browser Automation
- 36.2
  Playwright Automation
- 36.3
  AI Automation Systems
LangChain Fundamentals
4
- 37.1
  Introduction to LangChain
- 37.2
  Prompt Templates
- 37.3
  Chains
- 37.4
  Output Parsers
LangChain Components
4
- 38.1
  Tools & Agents
- 38.2
  Memory
- 38.3
  Retrieval Chains
- 38.4
  Document Loaders
Advanced Frameworks
4
- 39.1
  LangGraph
- 39.2
  CrewAI
- 39.3
  AutoGen
- 39.4
  Semantic Kernel
Microsoft Copilot Fundamentals
4
- 40.1
  Introduction to Microsoft Copilot
- 40.2
  What is Microsoft Copilot Studio?
- 40.3
  Copilot Studio Architecture
- 40.4
  AI Agents in Microsoft Ecosystem
Building Agents with Copilot Studio
5
- 41.1
  Creating Your First Copilot Agent
- 41.2
  Topics & Conversations
- 41.3
  Generative AI Features
- 41.4
  Custom Instructions
- 41.5
  AI Agent Workflows
Enterprise Integrations
5
- 42.1
  Power Automate Integration
- 42.2
  Dataverse Integration
- 42.3
  Microsoft 365 Integration
- 42.4
  Teams Integration
- 42.5
  SharePoint Integration
Advanced Copilot Development
5
- 43.1
  Custom Connectors
- 43.2
  Plugin Integrations
- 43.3
  External API Integrations
- 43.4
  AI Actions & Triggers
- 43.5
  Human-in-the-Loop Systems
Copilot Security & Deployment
5
- 44.1
  Security & Permissions
- 44.2
  Environment Management
- 44.3
  Publishing Copilot Agents
- 44.4
  Enterprise Use Cases
- 44.5
  Monitoring & Analytics
MCP Fundamentals
4
- 45.1
  Introduction to MCP
- 45.2
  Why MCP was Created
- 45.3
  MCP Architecture
- 45.4
  MCP Communication Flow
MCP Components
4
- 46.1
  MCP Clients & Servers
- 46.2
  Tools in MCP
- 46.3
  Resources & Prompts
- 46.4
  Context Sharing
Building with MCP
4
- 47.1
  Building MCP Servers
- 47.2
  Building MCP Clients
- 47.3
  Local MCP Servers
- 47.4
  Remote MCP Servers
Security & Real Use Cases
3
- 48.1
  MCP Security & Permissions
- 48.2
  MCP with AI Agents
- 48.3
  Real-World MCP Applications
Multi-Agent Fundamentals
3
- 49.1
  Introduction to Multi-Agent Systems
- 49.2
  Agent Communication
- 49.3
  Task Delegation
Coordination & Collaboration
5
- 50.1
  Role-Based Agents
- 50.2
  Orchestrator Agents
- 50.3
  Collaborative AI Agents
- 50.4
  Parallel Task Execution
- 50.5
  Agent Coordination
Advanced Systems
3
- 51.1
  Distributed Agent Systems
- 51.2
  Multi-Agent Architectures
- 51.3
  Multi-Agent Projects
Automation Platforms
4
- 52.1
  Introduction to Automation Platforms
- 52.2
  n8n Fundamentals
- 52.3
  Make Fundamentals
- 52.4
  Zapier Fundamentals
Business Automation
3
- 53.1
  AI Business Automations
- 53.2
  Workflow Automation
- 53.3
  Building AI Pipelines
AI APIs & Providers
3
- 54.1
  OpenAI APIs
- 54.2
  Anthropic APIs
- 54.3
  Gemini APIs
Voice AI Systems
3
- 55.1
  Whisper
- 55.2
  ElevenLabs
- 55.3
  Speech-to-Text Systems
Browser & Automation Tools
3
- 56.1
  Browser Use
- 56.2
  Playwright Automation
- 56.3
  AI Browser Agents
Frontend for AI
4
- 57.1
  Building Chat Interfaces
- 57.2
  Streamlit Basics
- 57.3
  Gradio Basics
- 57.4
  React for AI Applications
Advanced AI Interfaces
6
- 58.1
  Real-Time Streaming Responses
- 58.2
  Voice Integration
- 58.3
  File Upload Systems
- 58.4
  AI Dashboards
- 58.5
  Responsive AI Interfaces
- 58.6
  User Experience Design
Deployment Fundamentals
3
- 59.1
  Environment Variables
- 59.2
  Docker Basics
- 59.3
  Containerization
Cloud & Infrastructure
3
- 60.1
  Cloud Deployment
- 60.2
  CI/CD Pipelines
- 60.3
  AI Infrastructure
Scaling & Monitoring
4
- 61.1
  Monitoring & Logging
- 61.2
  Scaling AI Systems
- 61.3
  Performance Optimization
- 61.4
  Production Deployment
Responsible AI
3
- 62.1
  AI Ethics
- 62.2
  Responsible AI Development
- 62.3
  Bias & Fairness
Security
4
- 63.1
  Prompt Injection Security
- 63.2
  API Security
- 63.3
  Authentication & Authorization
- 63.4
  Secure AI Systems
Governance & Privacy
3
- 64.1
  Data Privacy
- 64.2
  Content Moderation
- 64.3
  AI Governance
Beginner Projects
3
- 65.1
  AI Research Assistant
- 65.2
  AI Email Assistant
- 65.3
  AI Document Analyzer
Intermediate Projects
3
- 66.1
  AI Customer Support Agent
- 66.2
  AI Coding Assistant
- 66.3
  AI Automation Agent
Advanced Projects
7
- 67.1
  AI Voice Assistant
- 67.2
  AI Browser Automation Agent
- 67.3
  MCP-Based AI Assistant
- 67.4
  Multi-Agent Team System
- 67.5
  Microsoft Copilot Enterprise Assistant
- 67.6
  AI CRM Automation Agent
- 67.7
  AI Business Workflow System

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