Certifications
Industry-leading AI & ML certifications — from cloud platforms to vendor-neutral credentials I want to prove I know it
AWS Certified Machine Learning - Specialty
Validates expertise in building, training, tuning, and deploying ML models on AWS. Covers SageMaker, data engineering, exploratory analysis, and ML implementation at scale.
AWS Certified AI Practitioner
Foundation-level cert covering AI/ML concepts, generative AI, and responsible AI on AWS. Designed for non-specialists who need to understand AI capabilities and limitations.
AWS Certified Data Engineer - Associate
Covers designing and implementing data pipelines, data stores, and data transformations on AWS. Key for ML engineers who need robust data infrastructure for model training.
Google Cloud Professional Machine Learning Engineer
Certifies ability to design, build, productionize, and optimize ML models using Google Cloud technologies including Vertex AI and BigQuery ML.
Google Cloud Professional Data Engineer
Validates designing, building, and operationalizing data processing systems on GCP. Covers BigQuery, Dataflow, Pub/Sub, and ML pipeline integration.
Google Cloud Digital Leader
Foundational GCP cert covering cloud concepts and AI/ML capabilities at a strategic level. Good for leaders who need to understand how AI fits into cloud transformation.
Microsoft Certified: Azure AI Engineer Associate
Covers building AI solutions using Azure AI Services including Azure OpenAI, Cognitive Services, and Bot Framework. Strong focus on integrating pre-built AI into applications.
Microsoft Certified: Azure Data Scientist Associate
Validates applying data science and ML techniques using Azure Machine Learning. Covers experiment design, model training, and operationalizing ML workflows.
Microsoft Certified: Azure AI Fundamentals
Entry-level cert covering fundamental AI concepts, Azure AI services, and responsible AI principles. Good starting point for anyone exploring the AI landscape.
Microsoft Certified: Fabric Analytics Engineer Associate
Covers Microsoft Fabric's unified analytics platform including data engineering, data science, and real-time analytics for end-to-end ML workflows.
NVIDIA DLI: Fundamentals of Deep Learning
Hands-on workshop covering neural network training with PyTorch/TensorFlow on NVIDIA GPUs. Includes practical labs on image classification and NLP tasks.
NVIDIA DLI: Building Transformer-Based NLP Applications
Covers transformer architectures, fine-tuning large language models, and deploying NLP applications using NVIDIA NeMo and Triton Inference Server.
NVIDIA DLI: Generative AI with Diffusion Models
Teaches the theory and practice of diffusion models for image generation. Covers training, fine-tuning, and deploying generative models on NVIDIA infrastructure.
Databricks Certified Machine Learning Professional
Tests advanced ML engineering on the Databricks Lakehouse Platform including feature engineering, model training, experiment tracking with MLflow, and production deployment.
Databricks Certified Generative AI Engineer Associate
Covers building generative AI solutions on Databricks including RAG pipelines, model serving, prompt engineering, and LLM application development using Mosaic AI.
Databricks Certified Data Engineer Associate
Validates building and maintaining data pipelines with Apache Spark and Delta Lake on Databricks, foundational for ML feature engineering workflows.
IBM AI Engineering Professional Certificate
Covers building AI applications with TensorFlow, Keras, and PyTorch. Includes hands-on projects in image classification, object detection, and NLP.
IBM Data Science Professional Certificate
Comprehensive data science program covering Python, SQL, data visualization, and machine learning. One of the most popular entry-level data science credentials.
CompTIA Data+
Vendor-neutral cert covering data concepts, environments, analysis, visualization, and governance. A solid entry point for data analytics professionals moving toward ML.
CompTIA AI+
Vendor-neutral AI certification covering core AI concepts, ML model development, responsible AI, and practical AI integration for IT professionals.
CertNexus Certified Artificial Intelligence Practitioner (CAIP)
ANAB-accredited, vendor-neutral AI cert covering the full ML workflow from problem framing to deployment. NICE framework aligned, recognized by DoD.
CertNexus Certified Ethical Emerging Technologist (CEET)
Focuses on ethical considerations in AI and emerging technology including bias, fairness, transparency, and governance frameworks.
SAS Certified Specialist: Machine Learning Using SAS Viya
Validates ability to prepare data, build and evaluate ML models, and deploy solutions using SAS Viya. Respected in enterprise analytics environments.
SAS Certified AI & Machine Learning Professional
Advanced credential requiring multiple SAS exams covering ML, deep learning, NLP, and computer vision. Demonstrates comprehensive AI expertise in the SAS ecosystem.
Snowflake SnowPro Advanced: Data Engineer
Covers advanced data engineering on Snowflake including Snowpark for ML, data pipelines, and integration patterns relevant to ML feature engineering.
H2O.ai Certified AI/ML Professional
Covers AutoML, model interpretability, and ML deployment using H2O's open-source platform. Free learning paths with optional certification assessments.
Hugging Face NLP Course Certificate
Comprehensive NLP course covering the Transformers library, tokenization, fine-tuning, and deploying models from the Hugging Face Hub. The de facto standard for modern NLP tooling.
DeepLearning.AI MLOps Specialization
Covers the full ML lifecycle: data pipelines, modeling, deployment, monitoring, and continuous training. Taught by Andrew Ng and Robert Crowe from Google.
DeepLearning.AI Generative AI with LLMs
Covers LLM fundamentals, training, fine-tuning (including RLHF and PEFT), and deployment. Practical labs using AWS SageMaker.
Harvard CS50's Introduction to Artificial Intelligence with Python
Harvard's CS50 AI course covering search, knowledge, optimization, neural networks, and NLP. Builds strong theoretical foundations through Python projects.
Duke University MLOps Specialization
Covers containerization, CI/CD for ML, model monitoring, and cloud deployment. Practical focus on tools like MLflow, Docker, and cloud ML platforms.
Google Cloud Generative AI Leader
Business-focused credential validating understanding of generative AI principles, Google Cloud's gen AI offerings (Vertex AI, Gemini, AI Studio), and strategies for successful gen AI adoption.
Google Cloud Professional Cloud Architect
Covers designing scalable cloud solutions including AI/ML workloads with Vertex AI, Gemini, AI Hypercomputer, and Model Garden. Includes gen AI case studies and GPU/TPU optimization.
Google AI Essentials
Self-paced program covering generative AI fundamentals, effective prompting, responsible AI use, and selecting AI tools for workplace tasks.
Google Prompting Essentials
Teaches prompting techniques applicable to any gen AI tool or model. Covers a 5-step prompting framework for simplifying complex tasks. No technical experience required.
Google AI Professional Certificate
Hands-on program covering AI-powered communication, research, data analysis, content generation, and planning. Includes 20+ activities building a job-ready portfolio.
Google Data Analytics Professional Certificate
Covers data cleaning, analysis, and visualization using Spreadsheets, SQL, R, and Tableau. No prior experience required. Prepares for entry-level data analyst roles.
Google Advanced Data Analytics Professional Certificate
Statistical analysis, Python, regression models, machine learning, and predictive modeling using Jupyter, Kaggle, and Tableau. Prepares for senior data analyst and junior data scientist roles.
Google Business Intelligence Professional Certificate
Covers data modeling, visualization, dashboarding, and reporting using BigQuery, SQL, Tableau, and Looker for business intelligence workflows.
OpenAI AI Foundations
OpenAI's first official certification, delivered inside ChatGPT with hands-on tasks and real-time feedback. Validated by ETS and credentialed via Credly/Pearson. Rolling out through employer and university pilots.
OpenAI ChatGPT Foundations for Teachers
Free self-paced course for K-12 educators covering ChatGPT basics, navigation, personalization, and classroom applications including lesson planning and rubric creation.
Claude Certified Architect - Foundations
Anthropic's first official certification validating production-grade Claude application design. Five domains: Agentic Architecture, Claude Code Configuration, Prompt Engineering, Tool Design & MCP Integration, and Context Management.
Anthropic Academy: Building with the Claude API
Flagship free course covering the full spectrum from basic Messages API requests to advanced agentic architectures and RAG pipelines. Includes system prompts, tool use, and context windows.
Anthropic Academy: Introduction to Model Context Protocol
Free course covering MCP fundamentals including creating MCP servers and clients, connecting AI systems with databases, APIs, and external applications.
Anthropic Academy: Claude Code in Action
Free course on building, configuring, and sharing Skills in Claude Code. Covers CLAUDE.md hierarchies, reusable markdown instructions, and CI/CD integration.
Anthropic Academy: AI Fluency - Framework & Foundations
Foundational course on collaborating with AI systems effectively, efficiently, ethically, and safely. Part of Anthropic Academy's free catalog with certificates of completion.
Intel Certified Developer - MLOps Professional
Validates proficiency in designing compute-aware AI solutions and optimizing performance across the full AI pipeline using Intel tools. Includes 7 modules, 26 video lessons, 8 hands-on labs, and a capstone workshop.
Intel AI Developer Courses
Free self-paced courses covering Intel AI tools including OpenVINO for edge inference, oneAPI for cross-architecture development, and optimized deep learning deployment.
AMD ROCm Star - Application Developer Certificate
Tests knowledge of developing, optimizing, and deploying AI and HPC applications on AMD Instinct GPUs using ROCm. Passing earns a certificate and up to 50 free AMD Developer Cloud hours.
AMD AI Academy
Free hands-on learning program with three tracks: AI Developer, GPU Kernel Developer, and Enterprise AI & Infrastructure. Includes $100 in AMD Developer Cloud credits for prototyping on Instinct MI300X GPUs.
Qualcomm AI Upskilling Certificate: Technical Foundations
Five-course certificate program covering AI fundamentals through Qualcomm-specific edge AI deployment including AI Hub and Neural Processing Engine. Earns a LinkedIn badge.
Qualcomm AI Upskilling Certificate: Hands-On Development
Project-driven program building and deploying three ML models (keyword detection, person recognition, gesture recognition) from data collection to live on-device inference on Qualcomm hardware.
AWS Certified Machine Learning Engineer - Associate
Validates ability to implement and operationalize ML workloads on AWS including SageMaker, Bedrock, and compute options like Trainium/Inferentia. Replaces the retiring ML Specialty cert.
CKAD: Certified Kubernetes Application Developer
Hands-on Kubernetes cert essential for ML engineers deploying models at scale. Tests ability to design, build, and configure cloud-native applications in K8s clusters.