The Certified AI Engineering Professional Certification equips technology professionals with the knowledge to design, develop, deploy, and optimize AI-powered systems. The program empowers professionals to build intelligent solutions, integrate AI models, automate engineering workflows, and drive scalable AI innovation across modern technology environments.
Learn directly from AI engineering experts, technology leaders, and industry professionals who are building intelligent systems, advanced AI solutions, and next-generation enterprise technologies.









•Artificial Intelligence Foundations
•Machine Learning Fundamentals
•Generative AI Fundamentals
•Role of an AI Engineer
•Modern AI Engineering Ecosystem
•Transformer Fundamentals
•Attention & Self-Attention
•Tokens & Context Windows
•Large Language Models
•Model Selection
•Working with LLM APIs
•Model Parameters
•System & User Prompts
•Structured Outputs
•Function & Tool Calling
•Context Management
•Routing & Fallbacks
•Prompt Engineering Fundamentals
•Zero-Shot & Few-Shot Prompting
•Prompt Templates & Chaining
•Context Engineering
•Fine-Tuning Fundamentals
•LORA & PEFT
•Understanding Embeddings
•Embedding Models
•Semantic & Similarity Search
•Vector Databases
•Metadata Filtering
•Dense, Sparse & Hybrid Search
•RAG Fundamentals & Architecture
•Document Loading & Parsing
•Document Chunking
•Embedding & Indexing
•Vector Retrieval
•Context Augmentation
•Source Citations
•End-to-End RAG Build
•Advanced Chunking
•Query Rewriting
•Hybrid Retrieval
•Metadata-Based Retrieval
•Reranking
•Context Optimization
•Conversational & Multi-Source RAG
•Corrective, Adaptive & Graph RAG
•AI Agent Fundamentals
•Agent Architecture
•Agent Planning & Decision Making
•Tool & Function Calling
•Agent Memory & State
•Agent Workflows
•Human-in-the-Loop
•Multi-Agent Systems
•Build a Tool-Using Agent
•Traditional vs Agentic RAG
•Agent-Controlled Retrieval
•Dynamic Knowledge Retrieval
•Tool-Based Retrieval
•MCP Fundamentals
•MCP Integration
•MCP Production Architecture & Security
•LLM Evaluation
•RAG Evaluation
•Agent Evaluation
•Hallucination & Groundedness
•LLM-as-a-Judge
•AI Guardrails
•Prompt Injection Protection
•Data Privacy, Responsible AI & Risk Management
•AI Application Security Risks
•LLMOps Fundamentals
•Prompt & Model Versioning
•Logging & Tracing
•AI Observability
•Token, Latency & Cost Monitoring
•Model Serving
•Docker & Cloud Deployment
•CI/CD for AI Applications
•Performance, Cost & Reliability
•Project Architecture
•RAG Implementation
•Agent & Tool Integration
•MCP Integration
•Evaluation & Guardrails
•Deployment & Final Demo
You will receive a globally recognized GSDC Certified AI Engineering Professional certificate that validates your ability to build, deploy, and manage modern AI systems. The certificate demonstrates your knowledge of AI and ML fundamentals, Python development, data engineering, machine learning, Generative AI, LLM applications, prompt engineering, RAG, AI agents, model evaluation, MLOps, AI deployment, monitoring, security, and production AI engineering.

Learn from experienced practitioners and industry leaders who bring real-world expertise and practical insights to the program.
Gain full access to our complete resource library and earn a globally recognized certification.
1 Certificate Programs
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3 Certificate Programs
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There are no mandatory prerequisites for the Certified AI Engineering Professional certification. A basic understanding of AI, programming, software development, or machine learning concepts is beneficial, but no formal technical or AI engineering background is required. The program builds from AI fundamentals and focuses on practical AI engineering, model development, intelligent systems, implementation, and AI solution deployment.
Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes

The GSDC Certified AI Engineering Professional is a globally recognized professional credential designed for professionals who want to build, deploy, and manage production-ready AI systems. The program covers AI and ML fundamentals, Python for AI development, data engineering, machine learning, Generative AI, LLM application development, prompt engineering, RAG, AI agents, model evaluation, MLOps, AI deployment, monitoring, security, and enterprise AI engineering.
This AI engineering professional certification is ideal for AI engineers, ML engineers, software engineers, data engineers, Generative AI professionals, AI developers, MLOps professionals, cloud professionals, and technology professionals who want to build practical AI engineering capabilities. Learners develop skills to work with AI models, build RAG applications and AI agents, create ML pipelines, deploy AI systems, optimize model performance, monitor production environments, and apply secure and responsible AI engineering practices.
When you enroll, you'll receive comprehensive study materials, self-paced learning, 3x 1-on-1 SME Connect sessions, unlimited practice exam access, 2 exam attempts with 1 free retake, a globally recognized AI engineering professional certificate, and lifetime GSDC Studio access with 100+ live monthly expert-led sessions. You also get the Learn by Doing approach, Job Support Program, LinkedIn Enhancer, Resume Builder, and complimentary GSDC Membership to help you build practical AI engineering skills and advance your career as an AI engineering professional.
The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for emerging technologies.