What will I learn in this Certified Agentic AI Developer course?

You will learn agentic AI fundamentals, AI agents, multi-agent systems, large language models, prompt engineering, RAG systems, vector databases, workflow orchestration, conversational AI, MLOps automation, AI governance, and enterprise intelligent automation operations. The programme also includes hands-on code walkthroughs covering Python-based agent development, tool calling, multi-agent coordination using frameworks like LangChain, AutoGen, CrewAI, and LangGraph, plus a capstone project building a production-ready AI agent.

How do I become an Agentic AI Developer? What is the step-by-step path?

To become an Agentic AI Developer, follow this practical path: (1) Learn Python fundamentals and REST API integration. (2) Build foundational knowledge of LLMs, prompt engineering, and generative AI concepts. (3) Study agentic frameworks such as LangChain, AutoGen, CrewAI, and LangGraph. (4) Practice building agents with tool calling, RAG pipelines, and vector databases. (5) Learn deployment, monitoring, and security best practices for production AI systems. (6) Complete the Certified Agentic AI Developer programme to validate your skills with a globally recognised credential. (7) Build a portfolio of agentic AI projects and apply for roles such as Agentic AI Developer, AI Automation Engineer, or AI Solutions Architect.

Do I need to know Python or coding to take this course?

There are no formal prerequisites. The programme is designed for beginners as well as experienced professionals. That said, a basic familiarity with Python, REST APIs, and general AI concepts will help you progress faster - particularly through the code walkthrough and capstone modules. Non-technical learners such as consultants, enterprise architects, and product managers will also benefit strongly from the conceptual, governance, and use case modules.

Is agentic AI development a good career option in 2026?

Yes. Agentic AI development and enterprise intelligent automation are among the fastest-growing and most in-demand professional domains globally. Job postings mentioning AI agents, LLMs, and agentic workflows have grown multiples since 2023. Agentic AI engineers can command 20-50% salary premiums over general software developers, with US-based roles ranging from $140,000 to $230,000+ annually. Organizations across industries - from banking and healthcare to SaaS and cybersecurity - are actively hiring for these skills.

How is the Certified Agentic AI Developer different from traditional AI courses?

Certified Agentic AI Developer focuses on autonomous AI systems, AI agents, workflow orchestration, intelligent automation platforms, cloud-native AI infrastructure, enterprise AI operations, predictive intelligence systems, and scalable AI deployments instead of only traditional machine learning concepts. It is developer-centric with hands-on code walkthroughs, framework-specific training (LangChain, AutoGen, CrewAI, LangGraph), and a capstone project - going well beyond theoretical or conceptual AI education.

What is the exam format and how do I pass?

The certification exam is an online multiple choice assessment of 100 marks. You need to score 60 or more marks to pass and earn your certificate. If you do not pass on the first attempt, you may retake the exam after one day. You are allowed a maximum of three attempts. If you are unable to pass after three attempts, you can contact the Blockchain Council support team for additional assistance and learning resources.

How long does it take to complete the Certified Agentic AI Developer programme?

The programme includes 13 hours of HD video content across 13 modules and 47 lessons. Most learners complete the coursework within 3 to 4 weeks when studying at a comfortable self-paced schedule of a few hours per week. You have lifetime access to all content, so you can learn at your own pace and revisit modules as needed.

What tools and frameworks are covered in this certification?

The programme covers leading agentic AI frameworks including LangChain, LangGraph, AutoGen, CrewAI, and LlamaIndex. It also covers model providers such as OpenAI, Anthropic Claude, Google Gemini, and Meta Llama; vector databases including Pinecone, Chroma, Weaviate, and Milvus; observability tools such as AgentBench and AgentOps; cloud platforms including AWS Bedrock, Azure OpenAI, and Google Vertex AI; and security tooling including guardrails frameworks, RBAC, and secrets management.

Is the certificate valid for life and does the content get updated?

Yes. Once earned, your Certified Agentic AI Developer credential is a permanent, verifiable achievement accessible through the online verification portal. The course content also includes free lifetime updates, ensuring that as frameworks, protocols like MCP, and governance standards evolve, your learning material stays current and relevant.

Advanced ระดับArtificial Intelligence (AI)ขายดี

Certified Agentic AI Developer™

รหัสหลักสูตรรับรองวิชาชีพ: CAAD

Certified Agentic AI Developer is a comprehensive, industry-focused certification programme designed to help professionals master autonomous AI application development, AI agents, intelligent workflow orchestration, multi-agent systems, and enterprise AI automation platforms. This certification equips learners with practical expertise in building agentic AI applications, integrating large language models (LLMs), automating enterprise workflows, and deploying scalable intelligent systems - making it ideal for professionals who want to build successful careers in agentic AI development, intelligent automation engineering, AI orchestration, enterprise AI systems, and next-generation digital transformation initiatives.

The programme covers advanced concepts including large language models (LLMs), retrieval-augmented generation (RAG), vector databases, multi-agent orchestration, AI tool calling systems, reinforcement learning, conversational AI, multimodal AI systems, MLOps automation, Kubernetes-based AI infrastructure, cloud AI orchestration, intelligent analytics systems, enterprise workflow automation, AI governance frameworks, and responsible AI engineering practices. Participants explore real-world applications across customer support systems, banking operations, healthcare automation, SaaS ecosystems, cybersecurity platforms, telecommunications infrastructure, e-commerce operations, and enterprise productivity systems. Built for practical implementation and real-world enterprise AI operations, this programme focuses on enabling professionals to build scalable autonomous AI applications, optimize intelligent workflows, automate enterprise operations, improve AI-driven decision-making, strengthen governance readiness, and support enterprise innovation effectively.

4.8(1,500 รีวิว)| 5,000+ สมัครเรียนแล้ว| Available globally

$349

มีตัวเลือกผ่อนชำระรายเดือน

13 Hours

ระยะเวลาเรียน

4 Weeks

ระยะเวลาหลักสูตร

Self Paced

รูปแบบการเข้าถึง

Chat, Email & Phone

การสนับสนุนการเรียนรู้

สิ่งที่คุณจะได้เรียนรู้

Foundations of Artificial Intelligence and intelligent systems

Machine learning algorithms and model evaluation

Deep learning architectures and neural networks

Natural Language Processing and large language models

Computer vision techniques and applications

Generative AI tools and prompt engineering

Agentic AI and autonomous decision systems

Hands-on: AI Agents - Introduction

Hands-on: Agentic Paradigm

Hands-on: Frameworks

เกี่ยวกับหลักสูตรรับรองวิชาชีพนี้

A Certified Agentic AI Developer is an AI engineering and intelligent automation specialist skilled in building autonomous AI applications, developing AI agents, orchestrating intelligent workflows, integrating generative AI systems, automating enterprise processes, and supporting scalable enterprise AI ecosystems.

หลักสูตรรับรองวิชาชีพนี้เหมาะกับใคร?

Software Developers and AI Engineers

Looking to strengthen expertise in autonomous AI systems, agent frameworks, and enterprise AI application development using LangChain, AutoGen, CrewAI, and related tools.

Machine Learning and Cloud Professionals

Seeking advanced knowledge of scalable AI workflows, RAG pipelines, vector databases, MLOps automation, and intelligent automation systems on cloud platforms.

Automation and Enterprise Innovation Teams

Interested in AI agents, multi-agent orchestration, predictive intelligence, and enterprise workflow automation to drive operational efficiency and digital transformation.

Consultants and Enterprise Advisors

Planning to support organizations through AI transformation and intelligent automation initiatives, requiring a strong grasp of agentic AI architectures, governance, and use cases.

Students and Career Changers

Aspiring to enter agentic AI development and enterprise AI roles with a globally recognized certification and hands-on skills in autonomous AI application development.

Enterprise Technology Teams

Looking to improve operational intelligence, workflow automation, AI-driven decision-making, and enterprise AI-readiness across business functions and platforms.

พื้นฐานที่จำเป็นก่อนเรียน

Basic understanding of technology concepts

No prior specialized experience necessary - the program starts from foundations

A computer with internet access for hands-on labs and exercises

Curiosity and willingness to learn new technologies

โมดูลที่รวมอยู่

13 โมดูล · 0 บทเรียน · 13 Hours

Overview of AI agents and autonomous systems
Key benefits and business value of AI agents
Agent vs. traditional ML model vs. copilot

3 บทเรียน

ประโยชน์ของหลักสูตรรับรองวิชาชีพ

หลักสูตรรับรองวิชาชีพ Certified Agentic AI Developer™ ช่วยให้คุณได้รับคุณวุฒิที่เป็นที่ยอมรับในอุตสาหกรรมและความเชี่ยวชาญที่นำไปใช้ได้จริง

เป็นที่ยอมรับในอุตสาหกรรม

เข้าร่วม 5,000+ ผู้ประกอบวิชาชีพที่ได้รับการรับรองทั่วโลก

ได้รับความไว้วางใจใน 145+ ประเทศตั้งแต่ 2016

Comprehensive Understanding of Agentic AI and Intelligent Automation

The Certified Agentic AI Developer certification provides a comprehensive understanding of autonomous AI systems, AI agents, multi-agent architectures, prompt engineering, RAG systems, vector databases, conversational AI, reinforcement learning, MLOps workflows, AI governance, cloud-native AI infrastructure, and enterprise intelligent automation operations.

การยืนยันความเชี่ยวชาญ

Obtaining the Certified Agentic AI Developer certification validates your ability to build autonomous AI applications, optimize intelligent workflows, automate enterprise operations, improve AI-driven decision-making systems, strengthen governance readiness, and support enterprise AI transformation effectively.

โอกาสทางอาชีพที่เพิ่มขึ้น

Certified professionals can explore opportunities across agentic AI development, enterprise automation, intelligent workflow orchestration, AI consulting, cloud AI infrastructure, conversational AI systems, predictive automation, and enterprise digital transformation initiatives.

การยอมรับในอุตสาหกรรม

The Certified Agentic AI Developer certification demonstrates your commitment to professional AI engineering practices and your ability to support organizations using scalable, intelligent, and enterprise-ready autonomous AI systems.

ก้าวทันแนวหน้าของนวัตกรรม

The certification programme helps you stay updated with the latest advancements in large language models, AI agents, autonomous reasoning systems, intelligent automation workflows, cloud-native AI infrastructure, predictive intelligence platforms, and enterprise AI transformation practices.

Free Lifetime Content Updates

Given the rapid pace of change in agentic AI - new frameworks, protocols like MCP, and governance standards - the programme includes free lifetime updates so your knowledge and credential remain current and relevant throughout your career.

ผู้ประกอบวิชาชีพที่ผ่านหลักสูตรรับรองวิชาชีพด้านบล็อกเชน

รับใบรับรองอย่างเป็นทางการของคุณ

เมื่อสำเร็จหลักสูตร คุณจะได้รับใบรับรองดิจิทัลที่ตรวจสอบได้และเป็นที่ยอมรับของนายจ้างทั่วโลก คุณสามารถแชร์ใบรับรองบน LinkedIn ใส่ในเรซูเม่ หรือตรวจสอบผ่านพอร์ทัลออนไลน์ของเรา

ตรวจสอบใบรับรอง

คำถามที่พบบ่อย

Certified Agentic AI Developer Certification is an advanced certification focused on autonomous AI application development, AI agents, intelligent automation, workflow orchestration, generative AI systems, cloud AI infrastructure, and enterprise intelligent operations. It is important because organizations increasingly rely on scalable autonomous AI systems and intelligent automation platforms to improve operational efficiency, innovation, and enterprise transformation capabilities.

สิ่งที่รวมอยู่ในหลักสูตรรับรองวิชาชีพนี้

13 hours of HD video content

0 comprehensive lessons

สื่อการเรียนรู้และเอกสารสรุปที่ดาวน์โหลดได้

ใบรับรองการสำเร็จหลักสูตรอย่างเป็นทางการ

สิทธิ์เข้าถึงระบบตรวจสอบใบรับรองออนไลน์

เป็นที่ยอมรับทั่วโลกใน 145+ ประเทศ

เข้าถึงเครือข่ายชุมชนศิษย์เก่า

อัปเดตเนื้อหาฟรีตลอดชีพ

รายละเอียดโดยย่อ

รหัสหลักสูตรรับรองวิชาชีพCAAD

ระดับAdvanced

ระยะเวลา13 Hours

โมดูล10 modules

รูปแบบเรียนตามเวลาที่สะดวก

ภาษาEnglish

ระยะเวลาการเข้าถึงLifetime

อัปเดตล่าสุดFebruary 2026

ความน่าเชื่อถือของสภา

Global Tech Council

ผู้ออกใบรับรองที่ผ่านการตรวจสอบแล้ว

This certification is developed and maintained by the Global Tech Council's panel of industry experts with decades of combined experience in artificial intelligence (ai).

ตรวจสอบการรับรองวิชาชีพ

พูดคุยกับที่ปรึกษาด้านการเรียนวันนี้!

ตำแหน่งงานยอดนิยม

Agentic AI DeveloperAI Automation EngineerAutonomous Systems DeveloperAI Solutions ArchitectGenerative AI DeveloperIntelligent Workflow EngineerAI Orchestration EngineerEnterprise AI Consultant

นโยบายที่เกี่ยวข้อง

นโยบายการคืนเงิน นโยบายการให้ความช่วยเหลือ ข้อกำหนดและเงื่อนไข

Certified Agentic AI Developer

$349