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Agentic AI
Empower Your Future with Agentic AI Certification
Advance your career with Agentic AI training designed for the next generation of intelligent systems. Learn how autonomous AI agents plan, reason, make decisions, and execute tasks across real-world business scenarios. This course covers agent design, multi-agent workflows, tool integration, decision-making logic, and intelligent automation through practical use cases. Learn from industry professionals, earn a recognized certification, and develop the skills needed to build, manage, and deploy agentic AI solutions that drive real business outcomes.
Bestseller
4.5
- Vendor Neutral
- English
- 4 Months
-
$4000
$8000
Classes are held two hours long and twice a week
- Available Timings (Monday to Friday) 6PM - 10PM
- Available Timings (Saturday) 10AM - 10PM
- Available Timings (Sunday ) 10AM - 4PM
Unlock Smarter Collaboration with Agentic AI
01. Module 1: Introduction to Agentic AI
- What are AI Agents?
- Difference between traditional AI and agentic systems
- Real-world use cases and industry demand
- Why Agentic AI is the future of business and automation
02. Module 2: Foundations of Generative AI
- Understanding large language models
- How intelligent reasoning works
- Prompts, instructions, and design patterns
- Safety, reliability, and responsible use
03. Module 3: Agent Architecture & Design
- Planning multi-step agent workflows
- Memory, context, and persistent state
- Tools, functions, and real-world actions
- Designing decision-making and logic flows
04. Module 4: Building Your First AI Agent
- Creating your first agent step-by-step
- Structuring agent prompts
- Adding capabilities and actions
- Testing and refining responses
05. Module 5: Workflow Automation Using Agents
- Automating real business processes
- Connecting agents to tools and data
- Building intelligent assistants for daily work
- Real examples from HR, sales, support, and operations
06. Module 6: Retrieval-Augmented Generation (RAG)
- How agents use external knowledge
- Document ingestion and indexing
- Accurate data retrieval
- Building a company knowledge assistant
07. Module 7: Multi-Agent Collaboration
- Single vs multi-agent systems
- Planner–executor patterns
- Designing specialized agents that communicate
- Building a multi-agent project as a team
08. Module 8: Testing, Evaluation & Optimization
- Improving accuracy and stability
- Handling edge cases
- Performance tuning
- Reducing hallucinations and errors
09. Module 9: Deploying AI Agents
- Deploying agents to websites
- Deploying agents in business environments
- Integrations for automation
- Real-world deployment strategies
10. Module 10: Capstone Project – Build Your Full Agent
- Select a real use-case
- Design, build, test, and refine
- Deploy your final agent
- Showcase project for portfolio or clients
11. Module 11: Career Pathways in Agentic AI
- AI Agent Developer
- AI Automation Engineer
- AI Implementation Specialist
- AI Solutions Consultant
- Roles with $95K–$160K+ earning potential
12. Module 12: Business Opportunities with AI
- Starting an AI automation micro-agency
- Building and selling custom agents
- Pricing your AI services
- Monthly support retainer models
Professional Opportunities
Agentic AI Engineer
Proficiency in agent frameworks, tool‑use pipelines, planning algorithms, memory systems, and integration of autonomous LLM agents with external APIs and enterprise workflows.
Agentic AI Scientist
Strong theoretical background in autonomous systems, deep understanding of planning‑and‑reasoning methods, multi‑agent collaboration models, safety evaluations, and research on agent behavior and optimization.
Agentic AI Strategist
Business acumen, workflow analysis, strategic thinking, and the ability to design high‑value use‑cases for autonomous AI systems across industries, ensuring ROI, governance, and responsible deployment.
Alumni testimonials
