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AI Agent Automation
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AI Agent Automation

Learn AI Agent Automation to design intelligent workflows, connect tools and APIs, build autonomous agents, automate business processes, and create scalable AI-powered workflows.

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Level

Advanced

Duration

4 weeks

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About AI Agent Automation

AI Agent Automation Course is a practical training program designed to help learners build intelligent automation systems using AI agents, workflows, tools, APIs, and autonomous decision-making.

The course covers the complete journey from identifying automation opportunities and designing agent workflows to building tool-enabled agents, connecting APIs and webhooks, using memory and retrieval for contextual automation, orchestrating multi-agent workflows, and implementing business process automation.

Learners also explore automation platforms and development approaches, including n8n, Make, Zapier, APIs, webhooks, and custom integrations. The program goes beyond basic workflow automation by covering autonomous AI agents, multi-agent orchestration, human-in-the-loop controls, testing, monitoring, security, governance, production deployment, scaling, and cost optimization.

Through practical projects, learners develop AI-powered automation workflows that can understand requests, make decisions, use tools, execute multi-step tasks, and integrate with real-world business systems.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

AI Agent Automation Course Curriculum

Module 1 — AI Agent Automation Fundamentals

Understand how AI agents can automate intelligent, multi-step tasks and learn the difference between traditional workflow automation and agent-driven automation.

What is AI Agent Automation?
AI agents vs traditional automation
AI automation fundamentals
Agentic workflows
Automation use cases
Intelligent decision-making
Multi-step task automation
AI automation architecture
Automation lifecycle
Challenges and opportunities

Module 2 — Automation Opportunity & Workflow Design

Learn how to identify suitable business processes for AI automation and design workflows that combine triggers, decisions, AI agents, tools, and actions.

Identifying automation opportunities
Process analysis
Workflow mapping
Triggers and events
Conditions and decisions
Agent-based workflow design
Human approval points
Exception handling
Workflow optimization
Automation ROI considerations

Module 3 — AI Agent Architecture & Decision Making

Learn how AI agents understand tasks, make decisions, plan actions, select tools, and execute multi-step workflows.

AI agent architecture
Agent goals
Planning
Reasoning and decision-making
Task decomposition
Agent loops
State management
Context management
Tool selection
Action execution
Agent failure handling

Module 4 — Tools, APIs & Webhooks

Learn how to connect AI agents with external applications and services using tools, APIs, webhooks, and custom integrations.

Agent tools
Tool calling
API fundamentals
REST APIs
Authentication
Webhooks
Event-driven automation
Custom integrations
Data exchange
API error handling
Tool permissions

Module 5 — n8n, Make & Zapier Agent Automation

Explore popular automation platforms and learn how to build AI-powered workflows using visual automation, triggers, integrations, and agent capabilities.

n8n fundamentals
AI workflows with n8n
Make automation
Zapier automation
Triggers and actions
AI-powered workflow steps
Connecting external applications
Workflow branching
Automation error handling
No-code and low-code approaches
When to use custom development

Module 6 — Memory, RAG & Context-Aware Automation

Learn how memory and retrieval can provide AI agents with relevant context so automated workflows can make better decisions and perform context-aware actions.

Agent memory
Short-term memory
Long-term memory
Context management
Embeddings
Vector databases
Retrieval-Augmented Generation
Context-aware workflows
Knowledge retrieval
Memory-enabled automation
RAG-based agent workflows

Module 7 — Autonomous & Multi-Agent Workflows

Build more advanced automation systems using autonomous AI agents and multiple specialized agents working together on complex tasks.

Autonomous AI agents
Autonomous decision-making
Agent planning
Multi-agent systems
Specialized agents
Agent handoffs
Supervisor agents
Router agents
Parallel agent execution
Sequential workflows
Multi-agent orchestration
Human-in-the-loop automation

Module 8 — Business Process & Enterprise Automation

Apply AI agent automation to real business processes and learn how intelligent workflows can automate repetitive and decision-intensive operations.

Business process automation
Enterprise AI automation
Customer support automation
Sales automation
Marketing automation
HR automation
Finance automation
Operations automation
Document automation
Reporting automation
Knowledge workflows
Enterprise integrations

Module 9 — Testing, Monitoring & Reliability

Learn how to test AI automation workflows and monitor agent behavior, workflow execution, errors, performance, and reliability.

AI workflow testing
Agent testing
Test cases
Workflow validation
Regression testing
Error handling
Logging
Monitoring
Agent observability
Workflow performance
Failure analysis
Reliability improvement

Module 10 — Security, Governance & Human Oversight

Learn how to build safer AI automation systems with access controls, data protection, tool permissions, human approvals, and governance practices.

AI automation security
Authentication
Authorization
Access control
Least-privilege permissions
Secrets management
Data protection
Tool security
Guardrails
Human-in-the-loop
Audit logging
Governance
Privacy considerations

Module 11 — Production Automation, Scaling & Optimization

Learn how to move AI automation workflows into production and optimize them for reliability, scalability, performance, and cost.

Production AI automation
Deployment strategies
Workflow scaling
Concurrent execution
Queues
Caching
Performance optimization
Token optimization
Cost optimization
Workflow versioning
Rollback strategies
Production monitoring
Operational management

Module 12 — End-to-End AI Agent Automation Capstone

Build an end-to-end AI automation solution that combines agents, tools, APIs, workflows, memory, autonomous execution, monitoring, security, and production practices.

Automation opportunity analysis
Workflow architecture
Agent design
Tool integration
API integration
Memory and retrieval
Multi-agent orchestration
Automation execution
Testing
Monitoring
Security
Production deployment
Scaling
Capstone implementation

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take AI Agent Automation Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After AI Agent Automation Course

AI Automation Engineer

AI Agent Developer

AI Engineer

Key Projects

AI Agent Automation Course Projects

Deloitte

DeloitteEnterprise AI Workflow Automation


Scenario: Build an AI-powered enterprise workflow that interprets requests, retrieves relevant information, uses approved tools, and automates multi-step business actions.

Live Work:

  • Design agent workflow
  • Integrate enterprise tools
  • Automate business tasks
Outcome: Enterprise AI workflow automation
Accenture

AccentureIntelligent Process Automation


Scenario: Develop an AI agent workflow that analyzes process requests, makes contextual decisions, connects business applications, and automates repetitive operational activities.

Live Work:

  • Build process workflow
  • Connect APIs and tools
  • Add decision automation
Outcome: Intelligent process automation
Metro Bank

Metro BankFinancial AI Workflow


Scenario: Create an AI-powered financial workflow that processes requests, retrieves relevant information, performs controlled analysis, and routes approved actions through connected systems.

Live Work:

  • Design financial workflow
  • Integrate business APIs
  • Implement workflow controls
Outcome: utomated financial AI workflow
Pegasus Airlines

Pegasus AirlinesCustomer Operations Automation


Scenario: Build an AI agent workflow that handles customer operations by understanding requests, retrieving information, using approved tools, and automating multi-step service processes.

Live Work:

  • Build service workflow
  • Integrate operational tools
  • Automate customer tasks
Outcome: AI-powered customer automation
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is AI Agent Automation?

What is an AI Agent Automation Course?

What is the difference between AI automation and traditional automation?

What are autonomous AI agents?

Can AI agents automate business workflows?

What tools are used for AI Agent Automation?

What is AI Agent Automation?

How are AI agents different from traditional automation?

What is an agentic workflow?

What is tool calling?

What is the role of APIs in AI automation?

What is autonomous agent automation?

AI Agent Automation Certification

Upon successful completion of the course requirements, learners can receive a certificate recognizing their learning in AI Agent Automation, intelligent workflows, autonomous AI agents, tool and API integration, multi-agent automation, monitoring, security, and production practices.

The certification reflects practical understanding of designing and implementing AI-powered automation workflows for real-world business use cases, subject to TechPratham's applicable course completion and certification criteria.

Industry-Recognized Certification

Certificate
AI Agent Automation

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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