
Agentic AI Engineering Training With Claude Technologies
Agentic AI Engineering with Anthropic Claude Technologies Training Course
Build Autonomous Production Grade AI Systems with Claude.
2k+ Enrolled
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 brings you a hands-on Agentic AI engineering course with Anthropic Claude Training. It's a great opportunity to learn to build intelligent agents, develop RAG applications, integrate tools, and deploy production-ready AI systems.
You will gain extraordinary and competitive real-world expertise, automate workflows, and lead your career into the next stage in this AI era with industry-focused AI training.
This Agentic AI engineering course is a specialized discipline focused on designing, building, and deploying autonomous AI systems that use Claude models to plan, execute, and iterate on complex, multi-step tasks.
We cover core concepts through this AI Agent Engineer Certification course, like
Our AI Agent Engineering training has an all-in-one training to build production-ready AI systems.
By enrolling in our Agentic AI Engineering course, you will unlock high-demand AI agent skills with a hands-on learning approach
Our Agentic AI Engineering course makes you capable of building job-ready AI agents using industry-leading tools and techniques
This Agentic AI Engineering Course with Claude Technologies is delivered through live, instructor-led online sessions, allowing you to learn from anywhere with real-time guidance and interaction.
Agentic AI Engineering Training Highlights
48 Hours of Live Instructor-Led Training Sessions
Master Agentic AI Concepts and Tools
Develop Intelligent AI Agents Through Projects
Design Scalable and Efficient AI Systems
Gain Access to Top AI Technologies
Learn with Structured Expert Mentorship
Prepare for High-Demand AI Careers
1:1 Mentorship and Career Support
Lifetime Access to Learning Sessions

Career upliftment

Through our Agentic AI Engineering course, participants will:
Unsure about your prep?
Benefits focused on Individuals and corporate
Common attendees
Fresh graduates
Technical personas
Software Architects
Entry-Level Developers
Data engineers
DevOps engineers
AI/ML practitioners
Technical architects
Product managers
Prerequisites for Agentic AI Engineering certification training

Enroll:
Register for the Production Grade Agentic AI Engineering course with Simpliaxis today.
Attend Training:
Join expert-led sessions, gain insights, and master real-world agentic AI workflows.
Practice Hands-On:
Build production-grade AI systems using the Claude API and industry-relevant tools.
Get Certified:
Attend all modules, complete lab assignments, and receive a course completion certificate from Simpliaxis.
Curriculum
Lab 1- Working with Embedding models
Lab 2: Advanced Prompt Engineering
Lab 3, 4- Context Engineering
Lab 5- Working with Claude APIs
Lab 6- Building RAG App with Langflow- low-code no-code tool
Lab 7- Building RAG App with Python-based coding framework
Lab 8- Building RAG App with Claude Code
Lab 9: Building an Analytics dashboard with graphs & charts using Claude Agent Skills.
Lab 10: Building Agents with Agents.md
Lab 11- Building an AI Agent with Tool use/ function calling and MCP Server integration
Lab 12 - Building an AI Agent with AWS Strands SDK
Lab 13 - Building an AI Agent with AWS Strands SDK
Lab 14- Building an AI Agent with the Google Agent Development Kit
Lab 15- Building an AI Agent with Langflow- no-code, low-code tool
Lab 16- Multi-agent collaboration with Google A2A Protocol
Lab 17, 18- Building Agent with Langgraph & Long-term, short-term memory
Lab 19, 20: Agent Evaluation/ LLM-as-a-judge
Course Curriculum
Lab 1- Working with Embedding models
Lab 2: Advanced Prompt Engineering
Lab 3, 4- Context Engineering
Lab 5- Working with Claude APIs
Lab 6- Building RAG App with Langflow- low-code no-code tool
Lab 7- Building RAG App with Python-based coding framework
Lab 8- Building RAG App with Claude Code
Lab 9: Building an Analytics dashboard with graphs & charts using Claude Agent Skills.
Lab 10: Building Agents with Agents.md
Lab 11- Building an AI Agent with Tool use/ function calling and MCP Server integration
Lab 12 - Building an AI Agent with AWS Strands SDK
Lab 13 - Building an AI Agent with AWS Strands SDK
Lab 14- Building an AI Agent with the Google Agent Development Kit
Lab 15- Building an AI Agent with Langflow- no-code, low-code tool
Lab 16- Multi-agent collaboration with Google A2A Protocol
Lab 17, 18- Building Agent with Langgraph & Long-term, short-term memory
Lab 19, 20: Agent Evaluation/ LLM-as-a-judge
What you will learn in this Agentic AI Engineering workshop
AI Foundations
Understand how large language models work, tokens, context limits, and common errors in responses.
Prompt Design
Craft effective prompts, guide outputs, refine responses, and improve accuracy using structured instructions.
Agent Concepts
Explore how AI agents plan tasks, make decisions, use tools, and complete goals step by step.
Multi Agents
Build systems where multiple agents collaborate, divide tasks, communicate clearly, and solve complex workflows together.
RAG Systems
Apply retrieval methods to connect AI with data, improving response accuracy and reducing incorrect outputs.
API Integration
Work with the Claude API to connect applications, send requests, manage responses, and build real workflows.
Workflow Automation
Design automated processes using AI agents to handle repetitive tasks, streamline operations, and improve productivity.
Project Development
Create real-world AI projects, apply concepts practically, and build confidence developing production-ready agentic systems.
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 Engineering Certification Course For Corporates
With learning targeted to your unique team environment, we at SimpliAxis help to resolve your specific issues and meet your specific needs with tailored training methods. We offer corporate training globally to keep Organizations up to date by building the knowledge gap required and make them strive in the competitive world with the right skills according to the industry needs.
Our Customer words for us
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What is agentic AI engineering?
Will Agentic AI replace software engineers?
Will AI agents replace software engineers?
How to choose an AI agent for data engineers?
How can AI agents support engineering teams?
How to become an Agentic AI engineer?
How to manage prompt engineering across multiple AI agents?
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Agentic AI Engineering Course FAQs
This course is a comprehensive, hands-on training program designed to teach you how to design, build, and deploy intelligent AI agents using Anthropic's Claude technologies.
Equipping you to work with one of the most advanced AI platforms available today.
The course starts from foundational concepts and progressively moves to advanced agentic workflows.
This course is ideal for software engineers, backend developers, data engineers, ML enthusiasts, and tech leads who want to transition into or upskill in the field of AI agent development.
Agentic AI engineering is the discipline of designing and building AI systems that can autonomously plan, make decisions, use tools, and complete multi-step tasks with minimal human intervention.
It's not like traditional AI models, which respond to a single prompt; agentic AI systems can chain actions, call external APIs, manage memory, and coordinate with other agents to achieve complex goals.
No - agentic AI will not replace software engineers. But it will significantly change what they do.
Software engineers who learn to build, manage, and orchestrate AI agents will be in extremely high demand.
Data engineers should choose an AI agent based on their data pipeline complexity, the tools and databases they work with, and the level of autonomy required.
For data engineering tasks, look for agents with strong tool-use capabilities, support for SQL and API integrations, and the ability to handle long-context reasoning.
Claude-based agents are particularly well-suited due to their large context window and reliable instruction-following for structured data workflows.
AI agents can automate repetitive engineering tasks such as
Help software engineers to reduce errors and focus on high-value creative and architectural work.
To become an agentic AI engineer, start by building a strong foundation in Python, APIs, and LLM concepts. Then learn how to work with agent frameworks, tool use, memory systems, and multi-agent orchestration using platforms like Anthropic's Claude.
Our Agentic AI Engineering course provides a structured path from fundamentals to deploying production-grade agentic systems, along with hands-on projects.
Salaries for Agentic AI engineers with Claude Skills generally can range from ₹12–35 LPA, depending on experience
In international marketing, it could start from $100,000–$180,000+ per year.
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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