Agentic AI Developer Certification

Agentic AI Developer Certification based on real-world agent frameworks to design, build, and deploy autonomous AI systems.

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$600.0 $ 300.0   Buy Now Download Brochure

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What Sets Our Program Apart?

  •    Globally Valid Certification with 2 Exam Attempts
  •    E-Learning Library Access, Ebook
  •    Weekly Live Sessions with Experienced Trainer
  •    1-on-1 Connect with SME/Trainer
  •    Practice Exams, Capstone Projects, Interview Practice Platform
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About Agentic AI Developer Certification

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Objectives of Agentic AI Developer Certification

Practical skills and real-world outcomes for aspiring agentic ai developers through certification

  • Access practical use case studies
  • Utilize ready-to-implement expert templates
  • Enhance AI project deployment efficiency
  • Gain skills for autonomous AI roles
  • Strengthen portfolio with certified credential
  • Improve problem-solving with real-world examples
  • Accelerate learning through hands-on resources
  • Prepare for advanced AI developer roles
  • Boost credibility among AI employers

Benefits of Agentic AI Developer Certificate

Real-world advantages and career impact for certified agentic ai developers

  • Apply practical use cases confidently at work
  • Implement expert-crafted templates for projects
  • Accelerate AI development with hands-on resources
  • Solve complex problems using real scenarios
  • Demonstrate mastery of agentic AI systems
  • Enhance career growth with specialized certification
  • Increase efficiency in AI-driven workflows
  • Gain recognition for cutting-edge AI skills
  • Prepare for leadership in AI development
  • Access resources to fast-track project delivery

Exam Syllabus of Agentic AI Developer Certification

  • Introduction to autonomous agents: definitions, types, and lifecycles
  • Event-driven and reactive programming models for agents
  • State management and memory in autonomous systems
  • Key libraries and frameworks overview: LangChain, AutoGen, CrewAI, Semantic Kernel

  • Implementing agent behaviors: goals, plans, actions
  • Tool usage, plugin integration, and function calling
  • Embedding reasoning and planning using LLMs (e.g., ReAct, CoT, ToT)
  • Adding memory and long-term context with vector stores and state graphs

  • Building collaborative and competitive agent networks
  • Communication protocols (e.g., message queues, REST, gRPC, WebSockets)
  • Role assignment, task delegation, and hierarchy modeling
  • Synchronization, conflict resolution, and consensus mechanisms

  • LangChain agents and chains: building modular workflows
  • LangGraph for stateful multi-step agents with branching logic
  • AutoGen for dialogue-based, code-executing agents
  • Agent orchestration using CrewAI and other tools

  • Selecting and integrating LLM backends (OpenAI, Anthropic, Mistral, etc.)
  • Tool and API calling via OpenAI functions, LangChain tools, or custom plugins
  • Implementing Retrieval-Augmented Generation (RAG) pipelines
  • Securing API access and implementing role-based tool access

  • Implementing short-term and long-term memory: Redis, Pinecone, Chroma
  • Managing agent context windows, summarization strategies, and checkpoints
  • Caching, logging, and serialization of agent states
  • Using external data stores and knowledge graphs

  • Agent simulation and unit/integration testing strategies
  • Logging agent behavior and decision-making paths
  • Observability tools for monitoring multi-agent interactions
  • Debugging loops, failures, and hallucinations in LLMs

  • Building APIs and frontends to interact with agents
  • Containerization with Docker and orchestration with Kubernetes
  • Hosting agents in cloud (AWS/GCP/Azure) and on edge devices
  • Rate limiting, retries, and circuit breakers for stability

  • Secure tool and API execution within agents
  • Red teaming agents for jailbreaking and prompt injection
  • Implementing guardrails, filters, and fallback strategies
  • Logging, traceability, and human-in-the-loop interventions

  • Designing conversational flows and intents
  • Integrating speech-to-text (Whisper, Deepgram) and text-to-speech (ElevenLabs, Azure TTS)
  • Connecting the voice interface with autonomous agent backends
  • Handling interruptions, context persistence, and streaming conversations
  • Deploying as a real-time voice assistant on web or mobile

  • Building a web-based or app-based chatbot UI
  • Connecting chat frontends to agent frameworks via API or WebSocket
  • Managing user sessions, memory, and context continuity
  • Incorporating tools like file upload, code execution, or database queries
  • Deployment, user testing, logging, and analytics

Meet our Advisor

Nisarg Kadam
Nisarg Kadam

GenAI Architect | Technology Evangelist

Hayk Hakobyan
Hayk Hakobyan

Co-Founder

Artus Phee
Artus Phee

Chief Operating Officer

Enrollment Options

Resources Provided by GSDC

Single Certification Module

Unlock full access to all comprehensive resources and earn Global certification

$ 600.0 $ 300.0

Bundle Certification Module

Get 3 certifications at a discounted price for maximum value

$ 1000.0 $ 500.0

Certification Programs

1

Learning Resources

1-on-1 SME Connect

2

Unlimited

Weekly Group SME Connect Session

Certification Exam with Free Retake & Practice Exams

Capstone Project, AI Interview Platform & AI Tools Use Cases

Cost Savings (X% Off vs Single Purchase)

50%

Upto 80%

GSDC Membership worth $109 free

Download Brochure

Looking to enroll your employees into this program?

Target Audience Agentic AI Developer Certification

  AI Developers and Software Engineers
  Machine Learning Engineers
  Data Scientists and Analysts
  AI Product Managers
  Automation and Robotics Engineers
  Digital Transformation Specialists
  IoT Solution Architects
  Business Intelligence Analysts
  Technology Consultants
  R&D Professionals in AI Fields

Pre-Requsities of Certified Agentic AI Developer Certification

While prior work experience or knowledge in AI development is not mandatory, having a foundational understanding of AI concepts is highly recommended for the GSDC Agentic AI Developer Certification.

Exam Details Of Agentic AI Certificate

Exam Questions

40

Exam Format

Multiple choice

Language

English

Passing Score

65%

Duration

90 min

Open Book

No

Certification Validity

Lifetime

Complimentary Retake

Yes

Sample Certification

Agentic AI Developer Certification

About Agentic AI Developer Certification

The GSDC Agentic AI Developer Certification is designed for professionals aiming to become skilled Agentic AI Developers, a field shaping today’s technology.

This Certificate in Agentic AI Development validates your expertise in building autonomous AI systems that perform complex tasks independently, making you a Certified Agentic AI Developer ready to meet industry demands.

By earning the Agentic AI Developer Certification, you gain recognition for your knowledge and practical skills in agentic AI technology, which is becoming essential in businesses worldwide.

Along with the certification exam, you will receive access to ready-to-implement hands-on resources, templates, and tools that accelerate your learning and help you apply your skills effectively.

This Agentic AI Developer Certification is a valuable credential for anyone looking to advance in AI development and contribute to the future of autonomous intelligent systems.

Frequently Asked Questions

Choose your preferred package above to begin your certification journey

The ideal audience includes AI developers, software engineers, data scientists, machine learning specialists, and technology professionals aiming to become certified Agentic AI Developers and advance their skills in agentic AI development.

The GSDC Agentic AI Developer Certification validates your expertise as a Certified Agentic AI Developer. It offers benefits like industry recognition, practical use case studies, and ready-to-implement templates that help accelerate your learning and career progression in agentic AI development.

Professionals holding the Certificate in Agentic AI Development can explore roles such as Agentic AI Developer, AI Solutions Architect, and AI Research Engineer in industries focused on next-generation AI technologies.

As businesses increasingly adopt agentic AI, the Certified Agentic AI Developer plays a critical role in designing and deploying AI agents that improve automation and efficiency, making the certification highly relevant in today’s AI-driven economy.

Hassle-free lifetime validity allows GSDC certification holders to avoid renewal applications and payments.

Organizations gain from having Certified Agentic AI Developers who can effectively implement advanced agentic AI solutions, streamline operations, and drive innovation through expert use of practical resources and templates.

Why GSDC ?

The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.

  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.

  • Hub of Trending Technologies and framework certifications.

  • Content curated by Industry's best Subject matter experts.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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