
Agentic AI Practitioner Course
Agentic AI Practitioner Training Course
Agentic AI Practitioner Training: Build, test, and deploy AI agents as an expert
Guaranteed to Run Workshops
Expert-Led Study Sessions
Networking Opportunities
Flexible Monthly Payment Plans
Real-World Case Studies
Hands-On Project Experience
450K+
Professionals trained
250+
Workshops every month
30+
Trainers
450K+
Professionals trained
250+
Workshops every month
20+
Trainers
Course Overview
Simpliaxis's Agentic AI Practitioner Training Course is designed for professionals who already understand AI fundamentals and want to master advanced agent architectures, production deployment, and enterprise-grade evaluation strategies. This course bridges the gap between foundational concepts and real-world implementation, focusing on hands-on development of multi-agent systems, advanced RAG techniques, and production readiness.
Simpliaxis Agentic AI Practitioner Training is designed for professionals who already know AI basics and want to go deeper. This course helps you learn advanced agent design, real-world deployment, and enterprise-level testing strategies.
Our Agentic AI Practitioner Training is an advanced, specialized program designed to teach experienced AI professionals how to architect, build, deploy, and manage sophisticated multi-agent systems that coordinate autonomously, handle complex workflows, and operate reliably in production environments at enterprise scale.
The main topics covered in the Agentic AI Practitioner course are:
Our Agentic AI Practitioner training includes.
This Agentic AI practitioner-level course builds advanced, production-ready skills:
This Agentic AI Practitioner training covers a wide range of tools and technologies.
This Agentic AI Practitioner course is delivered through live, instructor-led online sessions, allowing you to learn from anywhere with real-time guidance and interaction.
Agentic AI Practitioner Training Highlights
Live Instructor-Led Agentic AI Practitioner Training
Learning Outcomes based on the curriculum
9+ hands-on lab sessions covering practical applied scenarios
1:1 mentorship from industry experts
Lifetime access to recorded sessions and lab materials
24/7 learning support

Career upliftment

Our Agentic AI Practitioner Training Course comes with Learning Outcomes based on the curriculum.
Unsure about your prep?
Benefits focused on Individuals and corporate
Common attendees
Software Developers
AI/ML Engineers
Solution Architects
DevOps Engineers
Technical Leads
Cloud Engineers
Data Engineers
Product Managers
MLOps Professionals
Enterprise Tech Consultants
Prerequisites for Agentic AI Practitioner certification training
If you meet the requirements below, this Agentic AI Practitioner Course is a great choice for you:
As participants are expected to know the basics of Python, this program will not cover those basics

Enroll:
Register with Simpliaxis for an industry-leading Agentic AI Practitioner course.
Attend Training:
Join live, instructor-led online sessions conducted by experienced professionals.
Complete Assignments:
Work through hands-on lab assignments on our dedicated learning platform to build practical skills.
Get Certified:
Earn a Course Completion Certificate along with a shareable badge for your LinkedIn profile from Simpliaxis.
Curriculum
Topics
Introduction to Google Agent Development Kit for building AI Agents
LLM/SLM selection for an AI Agents/ Agentic AI
Building multi-agent systems
Google Agent2Agent (A2A) Protocol for multi-agent collaboration with demo
Advanced RAG Techniques- Agentic RAG, Multimodal RAG, Graph RAG
Topics
Responsible AI and AI Governance for Agents
Agent Evaluation
Select customer case studies on Agent and RAG Evaluation
Agent Security
Agent deployment & scaling options on Cloud
Post-production considerations for AI Agents
Course Curriculum
Topics
Introduction to Google Agent Development Kit for building AI Agents
LLM/SLM selection for an AI Agents/ Agentic AI
Building multi-agent systems
Google Agent2Agent (A2A) Protocol for multi-agent collaboration with demo
Advanced RAG Techniques- Agentic RAG, Multimodal RAG, Graph RAG
Topics
Responsible AI and AI Governance for Agents
Agent Evaluation
Select customer case studies on Agent and RAG Evaluation
Agent Security
Agent deployment & scaling options on Cloud
Post-production considerations for AI Agents
What you will learn in this Agentic AI Practitioner workshop
Agent Building:
Build AI agents using code, no-code tools, and manage a full lifecycle from idea to deployment.
RAG Understanding:
Understand RAG by learning the retrieval, generation, and response evaluation stages across the complete pipeline workflows clearly.
Agent Testing:
Test and evaluate RAG systems and agent applications using practical methods and structured validation approaches effectively.
Hands-on Learning:
Apply learning through projects, development tasks, and testing activities to strengthen real-world implementation skills in practice.
Tools Usage:
Use tools like Google ADK, Langflow, and LangChain to build, manage, and scale AI agents.
Multi-Agent Systems:
Build multi-agent systems and enable collaboration using the A2A protocol for handling complex testing scenarios in projects.
Advanced RAG:
Learn advanced RAG methods, including agentic, multimodal, and graph RAG, through structured labs and real scenarios.
Deployment Scaling
Deploy, secure, govern, evaluate, and scale AI agents across cloud platforms like AWS and GCP.
40+ Certification programs made an impact
Employee retention improved by 45%
Work satisfaction and capabilities improved by 30% on an average
100+
Clients













Agentic AI Practitioner Certification Course For Corporates
We at Simpliaxis design the Agentic AI Practitioner Training Course to help organizations upskill experienced QA teams with advanced, hands-on AI capabilities focused on real-world implementation, production deployment, and enterprise testing environments.
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Meet the Team That's Invested in Your Success
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Agentic AI Practitioner Course FAQs
The Agentic AI Practitioner Course focuses on building AI agents and advanced RAG applications. It covers the complete lifecycle, including use case discovery, development, deployment, and post-production monitoring.
In this Agentic AI Practitioner Training, you will learn how to build AI agents, understand RAG pipelines, and test and evaluate AI applications effectively.
Yes, basic coding in Python is required. However, the Agentic AI Practitioner Training also includes low-code and no-code tools to make learning easier.
You need to complete a simple hands-on project where you build a multi-agent system for software testing.
In this Agentic AI Practitioner Course, this project shows that you can apply what you learned, like building AI agents, using RAG, and testing the system.
You can reach out to our experienced career counselor
or email us on support@simpliaxis.com
or contact any of our phone numbers
or you can chat with us anytime
or visit our contact us page https://www.simpliaxis.com/contact-us
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