AI Agents Course

Master the art of building intelligent, autonomous AI agents that can perceive, reason, plan, and act independently. This comprehensive program covers everything from basic agent
  • FOUNDATIONS OF AI AGENTS
  • AGENT DEVELOPMENT FRAMEWORKS
  • REASONING & INTELLIGENCE
  • MULTI-AGENT SYSTEMS
  • PRODUCTION & DEPLOYMENT
  • ENTERPRISE INTEGRATION

50000 +

Students Enrolled

4.7

Ratings

3 Months

Duration

Our Alumni Work at Top Companies

Image 1Image 2Image 3Image 4Image 5
Image 6Image 7Image 8Image 9Image 10Image 11

AI Agents Course Curriculum

It stretches your mind, think better and create even better.

FOUNDATIONS OF AI AGENTS
Module 1

Topics:

  • Python for Agent Development

    Advanced Python Concepts (OOP, Async, Decorators)

    Data Structures for Agents (Queues, Graphs, Trees)

    Essential Libraries (NumPy, Pandas, AsyncIO)

    Design Patterns for Agents

    Development Best Practices

  • Software Engineering for Agents

    Clean Code Principles

    Unit Testing with Pytest

    Version Control with Git

    API Development Basics

    Documentation and Type Hints

Module 2

Topics:

  • Machine Learning Essentials

    Supervised and Unsupervised Learning

    Classification and Regression

    Model Training and Evaluation

    Feature Engineering

    Model Deployment Basics

  • NLP and LLM Foundations

    Text Processing and Tokenization

    Embeddings and Vector Representations

    Transformer Architecture Basics

    Prompt Engineering Principles

    Context Windows and Memory

Module 3

Topics:

  • Agent Fundamentals

    What Makes a System an Agent

    Types of Agents (Reflex, Goal-Based, Learning)

    Agent vs Traditional AI Systems

    Agent Environments and Properties

    History and Evolution of Agents

  • Core Agent Components

    Perception Module

    Knowledge Base and Memory

    Reasoning Engine

    Planning Module

    Action and Learning Modules

Module 4

Topics:

  • Classical Architectures

    BDI (Belief-Desire-Intention) Architecture

    Layered and Subsumption Architectures

    Blackboard Systems

    Cognitive Architectures (SOAR, ACT-R)

    Reactive vs Deliberative Agents

  • Modern Agent Patterns

    LLM-Based Agent Architectures

    Chain-of-Thought Agents

    ReAct Pattern Implementation

    Tool-Augmented Agents

    Hybrid Neuro-Symbolic Agents

Module 5

Topics:

  • Knowledge Representation

    Symbolic Representations

    Semantic Networks and Frames

    Knowledge Graphs

    Ontologies

    Vector Databases for Agents

  • Memory Architectures

    Working Memory Design

    Long-term Memory Storage

    Episodic and Semantic Memory

    Memory Retrieval Mechanisms

    Context Management

AGENT DEVELOPMENT FRAMEWORKS
Module 6

Topics:

  • LangChain Fundamentals

    Chains and Sequential Processing

    Agent Types in LangChain

    Tools and Tool Integration

    Memory Systems

    Callbacks and Output Parsers

  • Advanced LangChain Development

    Custom Agent Creation

    Hierarchical Agent Systems

    Multi-Agent Conversations

    Production Features (Streaming, Async)

    Performance Optimization

Module 7

Topics:

  • Graph-Based Agent Design

    Graph Architecture (Nodes, Edges)

    State Management and Transitions

    Conditional Routing and Control Flow

    Checkpointing and Persistence

    Parallel Execution Patterns

  • Advanced LangGraph Patterns

    Multi-Agent Graphs

    Human-in-the-Loop Workflows

    Distributed Graph Execution

    Real-time Updates and Streaming

    Production Deployment

Module 8

Topics:

  • Building Agent Crews

    Agent Definition and Roles

    Task Management and Dependencies

    Crew Orchestration

    Tool Assignment

    Result Aggregation

  • Advanced CrewAI Systems

    Hierarchical Crews

    Dynamic Agent Creation

    Self-Organizing Teams

    Performance Optimization

    Production Features

Module 9

Topics:

  • Microsoft AutoGen

    Conversable Agents

    User Proxy and Assistant Agents

    Group Chat Management

    Code Execution Capabilities

    Teachable Agents

  • Other Framework Ecosystems

    AutoGPT Architecture

    BabyAGI Concepts

    Semantic Kernel

    OpenAI Assistants API

    Custom Framework Development

Module 10

Topics:

  • MCP Architecture

    Protocol Components

    Server and Client Development

    Resource Management

    Tool Definitions

    Context Window Management

  • MCP Implementation

    Building MCP Servers

    Client Integration

    Protocol Extensions

    Security Considerations

    Cross-Framework Compatibility

REASONING & INTELLIGENCE
Module 11

Topics:

  • Classical Reasoning

    Propositional and First-Order Logic

    Probabilistic Reasoning

    Case-Based Reasoning

    Analogical Reasoning

    Temporal and Fuzzy Logic

  • Inference Mechanisms

    Forward and Backward Chaining

    Resolution and Unification

    Bayesian Networks

    Markov Decision Processes

    Belief Propagation

Module 12

Topics:

  • Prompt-Based Reasoning

    Chain-of-Thought (CoT)

    Tree-of-Thoughts (ToT)

    Graph-of-Thoughts (GoT)

    Self-Consistency Methods

    Least-to-Most Prompting

  • Advanced LLM Techniques

    ReAct Framework Implementation

    Reflexion Method

    Self-Ask Approach

    Tool-Augmented Reasoning

    Meta-Reasoning Strategies

Module 13

Topics:

  • Classical Planning

    State Space Search (A*, BFS, DFS)

    Hierarchical Task Networks (HTN)

    Temporal Planning

    Partial-Order Planning

    Constraint Satisfaction

  • Modern Planning Approaches

    Reinforcement Learning for Planning

    LLM-Based Planning

    Contingency Planning

    Multi-Objective Planning

    Adaptive Replanning

Module 14

Topics:

  • Decision Theory

    Utility Theory

    Multi-Criteria Decision Making

    Decision Trees and Networks

    Risk Assessment

    Uncertainty Quantification

  • Strategic Decision Making

    Game Theory Basics

    Nash Equilibrium

    Mechanism Design

    Auction Theory

    Negotiation Strategies

Module 15

Topics:

  • Agent Learning Methods

    Supervised Learning for Agents

    Reinforcement Learning

    Imitation Learning

    Transfer Learning

    Meta-Learning

  • Continuous Improvement

    Online Learning

    Active Learning

    Curriculum Learning

    Self-Supervised Learning

    Lifelong Learning Systems

MULTI-AGENT SYSTEMS
Module 16

Topics:

  • Communication Protocols

    Message Passing Systems

    FIPA-ACL and KQML

    Publish-Subscribe Patterns

    Blackboard Communication

    Natural Language Protocols

  • Information Exchange

    Semantic Communication

    Ontology Alignment

    Information Fusion

    Gossip Protocols

    Broadcast and Multicast

Module 17

Topics:

  • Coordination Strategies

    Contract Net Protocol

    Auction Mechanisms

    Market-Based Coordination

    Voting Systems

    Consensus Protocols

  • Synchronization

    Time Synchronization

    Action Coordination

    State Synchronization

    Distributed Locks

    Barrier Synchronization

Module 18

Topics:

  • Team Formation

    Dynamic Team Building

    Role Assignment

    Capability Matching

    Coalition Formation

    Team Optimization

  • Collective Problem Solving

    Task Allocation

    Load Balancing

    Resource Sharing

    Joint Planning

    Emergent Behaviors

Module 19

Topics:

  • Negotiation Systems

    Bilateral Negotiation

    Multi-Party Negotiation

    Bargaining Strategies

    Compromise Algorithms

    Win-Win Solutions

  • Dispute Management

    Mediation Mechanisms

    Arbitration Protocols

    Priority Systems

    Conflict Prevention

    Trust and Reputation

Module 20

Topics:

  • Swarm Algorithms

    Ant Colony Optimization

    Particle Swarm Optimization

    Bee Colony Algorithms

    Flocking Behaviors

    Stigmergic Coordination

  • Self-Organization

    Emergent Patterns

    Decentralized Control

    Adaptive Networks

    Evolution Strategies

    Collective Learning

PRODUCTION & DEPLOYMENT
Module 21

Topics:

  • Development Environment

    IDE Setup and Extensions

    Debugging Tools for Agents

    Profiling and Performance Analysis

    Version Control Strategies

    CI/CD for Agent Systems

  • Testing Methodologies

    Unit Testing Agents

    Integration Testing

    Behavior Testing

    Performance Testing

    Simulation Environments

Module 22

Topics:

  • Security Implementation

    Authentication and Authorization

    Encryption Methods

    Secure Communication

    Prompt Injection Prevention

    Audit Logging

  • Safety and Alignment

    Goal Alignment

    Safety Constraints

    Emergency Stops

    Ethical Guidelines

    Bias Detection and Mitigation

Module 23

Topics:

  • Infrastructure Setup

    Containerization with Docker

    Kubernetes Orchestration

    Serverless Deployment

    Edge Computing

    Hybrid Cloud Strategies

  • API Development

    RESTful API Design

    GraphQL Implementation

    WebSocket Support

    gRPC Services

    API Gateway Management

Module 24

Topics:

  • Scaling Strategies

    Horizontal and Vertical Scaling

    Auto-scaling Policies

    Load Balancing

    Circuit Breakers

    Resource Optimization

  • Performance Optimization

    Caching Strategies

    Query Optimization

    Async Processing

    Batch Processing

    Cost Management

Module 25

Topics:

  • Observability

    Metrics Collection

    Log Aggregation

    Distributed Tracing

    Performance Dashboards

    Alert Systems

  • Operational Excellence

    Incident Management

    Disaster Recovery

    Backup Strategies

    Version Management

    Documentation Standards

ENTERPRISE INTEGRATION
Module 26

Topics:

  • Enterprise Platforms

    CRM Integration (Salesforce, HubSpot)

    ERP Systems (SAP, Oracle)

    Business Intelligence Tools

    Workflow Automation

    Document Management Systems

  • Communication Channels

    Email Integration

    Slack/Teams Bots

    Voice Assistants

    SMS/WhatsApp Integration

    Web Widgets and Chatbots

Module 27

Topics:

  • Data Pipelines

    ETL/ELT Processes

    Real-time Data Sync

    Batch Processing

    Change Data Capture

    Stream Processing

  • Database Systems

    SQL Database Integration

    NoSQL Solutions

    Vector Databases

    Graph Databases

    Data Warehousing

Module 28

Topics:

  • Regulatory Compliance

    GDPR Requirements

    HIPAA Compliance

    SOC 2 Standards

    ISO Certifications

    Industry Regulations

  • Governance Framework

    Policy Management

    Access Controls

    Audit Trails

    Change Management

    Risk Assessment

Module 29

Topics:

  • Vertical Solutions

    Financial Services Agents

    Healthcare Automation

    Retail and E-commerce

    Manufacturing and Supply Chain

    Education and Training

  • Horizontal Solutions

    Customer Service Automation

    HR and Recruitment

    Marketing Automation

    Sales Enablement

    IT Operations

Module 30

Topics:

  • Specialized Agents

    Research Assistants

    Code Generation Agents

    Data Analysis Agents

    Content Creation Agents

    Trading and Investment Agents

  • Future Directions

    AGI Considerations

    Quantum Computing Integration

    Brain-Computer Interfaces

    Robotics Integration

    Emerging Technologies

TOOLS & PLATFORMS

LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid
LogoGrid

Our AI Programs

AI Agents Course

3 Months

6 Live Projects

4.7/5

AI Agents are autonomous software systems that can perceive their environment, make decisions, and act to achieve specific goals. They combine reasoning...

Data Science Course

3 Months

6 Live Projects

4.8/5

Data Science is the field of extracting insights and knowledge from data using statistics, machine learning, and data analysis techniques. It combines programming...

Generative Ai Course

3 Months

6 Live Projects

4.9/5

Generative AI is a type of artificial intelligence that creates new content such as text, images, audio, code, or video based on learned patterns from data. It powers tools like ChatGPT...

MLOps & LLMOps Course

3 Months

6 Live Projects

4.8/5

ML Ops (Machine Learning Operations) focuses on managing the end-to-end lifecycle of ML models — from training to deployment and monitoring — ensuring reliability and scalability.

Our Trending Projects

Autonomous Customer Service System

Build a complete multi-agent customer service system with: - Natural language understanding - Intent recognition and routing - Knowledge base integration - Escalation handling - Sentiment analysis - Performance monitoring

Autonomous Customer Service System

Intelligent Research Assistant

Develop an AI research agent capable of: - Literature review automation - Data collection and analysis - Report generation - Citation management - Collaborative research - Quality validation

Intelligent Research Assistant

Enterprise Process Automation

Create an agent system for business process automation: - Workflow orchestration - Document processing - Decision automation - Integration with enterprise systems - Compliance checking - Performance optimization

Enterprise Process Automation

IT Engineers who got Trained from Digital Lync

Engineers all around the world reach for Digital Lync by choice.

Why Digital Lync

100000+

LEARNERS

10000+

BATCHES

10+

YEARS

24/7

SUPPORT

Learn.

Build.

Get Job.

100000+ uplifted through our hybrid classroom & online training, enriched by real-time projects and job support.

Our Locations

Come and chat with us about your goals over a cup of coffee.

Hyderabad, Telangana

2nd Floor, Hitech City Rd, Above Domino's, opp. Cyber Towers, Jai Hind Enclave, Hyderabad, Telangana.

Bengaluru, Karnataka

3rd Floor, Site No 1&2 Saroj Square, Whitefield Main Road, Munnekollal Village Post, Marathahalli, Bengaluru, Karnataka.