Explore practical AI training programs designed to build foundational, functional, and enterprise-ready Google GenAI capabilities. These courses help teams and professionals apply AI confidently across productivity, governance, business functions, and real-world workflows.
Learn how enterprise AI integration works across business systems, workflows, and use cases. Build practical understanding of adoption models, governance, and implementation readiness.
Gain core knowledge of the infrastructure required to support AI workloads and enterprise adoption. Cover the essentials of compute, data flow, scalability, and platform readiness.
Discover Microsoft-focused AI training programs built to help professionals, teams, and organizations understand practical GenAI use cases across Azure, Microsoft 365, automation, collaboration, and business productivity. These programs support real-world learning with applied enterprise context.
Build foundational knowledge of AI concepts and Azure AI services through an introductory learning path. Understand core use cases, platform capabilities, and enterprise AI basics.
Get introduced to core AI principles, machine learning basics, and Azure AI capabilities. Ideal for building foundational understanding before moving into specialized AI tracks.
Build role-based generative AI skills through focused training tracks designed for practical application across business, creativity, education, healthcare, and software quality. These programs help learners strengthen real-world AI usage with structured, career-relevant learning.
Build a strong base in AI concepts, terminology, and real-world applications through structured foundational training. Ideal for learners starting their journey into practical artificial intelligence.
Understand how generative AI works and how prompt engineering improves output quality and relevance. Learn practical techniques for better results across common GenAI tasks.
Develop practical Google AI skills for building intelligent applications, agent workflows, developer productivity solutions, and AI-enhanced customer experiences. These training programs are designed to help developers apply Google AI tools in real-world technical environments.
Learn how to build AI-powered search experiences and agent-based applications for real-world use cases. Focus on practical architecture, interaction patterns, and intelligent workflows.
Understand how Google Cloud tools and AI services can improve developer productivity and delivery speed. Focus on efficiency, workflow improvement, and practical development support.
Build practical Microsoft AI development skills for agents, Copilot-based workflows, Azure OpenAI, and AI-augmented application engineering. These training programs help developers and technical teams apply Microsoft AI tools across modern business and software development environments.
Learn how to design and build AI agents using Copilot Studio for practical business and workflow scenarios. Focus on conversational logic, automation patterns, and real-world agent experiences.
Get introduced to Azure OpenAI through a fast-paced, hands-on training experience for practical use cases. Focus on building familiarity with tools, workflows, and application possibilities.
Build practical AWS AI and machine learning skills for agentic systems, Bedrock, SageMaker, MLOps, and production-ready ML engineering workflows. These training programs help developers and ML engineers strengthen real-world implementation capability across modern AWS AI environments.
Learn how to build agentic AI solutions on AWS using Amazon Bedrock AgentCore and modern AI workflows. Focus on practical agent design, orchestration, and applied implementation patterns.
Prepare for the AWS Certified Machine Learning Engineer – Associate exam with focused, role-relevant learning. Strengthen your understanding of AWS ML engineering concepts, services, and best practices.
Build practical NVIDIA-focused AI development skills for multimodal agents, large language model applications, and advanced intelligent system design. These training programs help developers apply modern AI capabilities across real-world agentic and multimodal use cases.
Learn how to build AI agents that combine text, image, and other multimodal inputs for richer interactions. Focus on practical agent design, multimodal reasoning, and applied development workflows.
Build strategic understanding of generative AI for leadership, decision-making, and business transformation. These Google-focused training programs help leaders explore how AI can improve insight, planning, productivity, and enterprise value across modern organizations.
Learn the fundamentals of generative AI from a leadership and decision-making perspective. Understand business value, practical use cases, and how AI supports strategic thinking.
Build leadership-level understanding of AWS artificial intelligence, certification readiness, and practical business impact. This training program helps decision-makers explore how AI supports strategy, capability building, and confident adoption across modern organizations.
Prepare for the AWS Certified AI Practitioner certification with a leadership-friendly view of core AI concepts. Build practical understanding of AWS AI fundamentals, use cases, and certification-aligned knowledge.
Build executive-level understanding of Microsoft AI, Copilot, prompt engineering, and agentic business solutions through practical leadership-focused training. These programs help decision-makers explore AI use cases, strategy, productivity, and transformation opportunities across modern organizations.
Explore ChatGPT capabilities, practical business use cases, and integration opportunities from a leadership perspective. Understand how generative AI can support strategy, productivity, and enterprise innovation.
Build the strategic understanding needed to guide AI transformation across teams, processes, and operations. Learn how to align AI adoption with business goals, readiness, and long-term value.
Build practical leadership-level AI capability across executive decision-making, strategy, project management, business functions, and real-world use cases. These AI CERTs programs help business leaders understand how AI can improve planning, operations, governance, and transformation outcomes.
Develop executive-level understanding of AI strategy, value creation, and organizational adoption. Focus on leadership decisions that guide successful and responsible AI transformation.
Understand how AI supports HR workflows, communication, recruitment, and people operations. Focus on practical use cases that improve efficiency and workforce support.
Build practical Google AI, analytics, and machine learning capability for data engineering, modeling, forecasting, visualization, and cloud data platform workflows. These programs help data professionals apply Google tools across modern AI and data-driven environments.
Learn how to analyze data and build meaningful visualizations using Looker for business and analytical insights. Focus on practical reporting, interpretation, and decision-support workflows.
Learn how to process data efficiently using Google Cloud Dataflow and serverless pipeline concepts. Focus on scalable data workflows, transformation, and operational simplicity.
Build practical Microsoft AI, analytics, and data platform skills for Azure AI solutions, machine learning operations, data science, SQL, and Microsoft Fabric workflows. These programs help data engineers and scientists apply Microsoft technologies across modern enterprise data and AI environments.
Learn how to build practical AI solutions in Azure using modern cognitive services, models, and workflows. Focus on implementation patterns that support real-world intelligent applications.
Build practical skills for designing and implementing end-to-end data science solutions on Azure. Focus on experimentation, model development, and deployment workflows.
Build practical Red Hat AI development capability for deploying AI and machine learning applications, enabling MLOps workflows, and working with OpenShift AI in production-ready environments. These programs help developers strengthen applied skills across enterprise AI engineering and operationalization.
Learn how to develop and deploy AI and machine learning applications using Red Hat OpenShift AI in enterprise environments. Focus on practical implementation, platform workflows, and scalable deployment patterns.
Build practical ServiceNow AI capability for implementation, workflow enablement, and enterprise adoption in real-world service environments. This training program helps professionals understand how AI can enhance automation, service delivery, and digital operations using ServiceNow.
Learn how ServiceNow AI can be implemented to improve workflows, service operations, and business efficiency. Focus on practical enablement, enterprise use cases, and real-world adoption readiness.
Build advanced practical AI capability across engineering, deployment, prompt design, Python, GitHub Copilot, no-code solutions, data workflows, and specialist GenAI applications. These programs help technical professionals deepen hands-on skills for real-world AI implementation and development.
Learn how to train and deploy open-source large language models on bare metal environments for practical AI workloads. Focus on infrastructure awareness, deployment patterns, and real-world implementation capability.
Explore how no-code approaches can be used to create useful AI-powered solutions without heavy programming effort. Learn practical ways to deliver business value faster through accessible AI workflows.
Build practical Fortinet-focused AI security skills for threat protection, AI-enabled security operations, and enterprise monitoring workflows. These training programs help security professionals strengthen applied capability across modern defense, analysis, and response environments.
Learn how to use FortiSandbox to strengthen advanced threat protection, malware analysis, and security defense workflows. Focus on practical administration skills that improve visibility and enterprise protection readiness.
Build practical AI security capability across ethical hacking, layered security learning, deep-dive threat awareness, and application security use cases. These training programs help professionals strengthen real-world understanding of AI-driven risks, defenses, and secure implementation practices.
Learn how AI intersects with ethical hacking, modern threat analysis, and offensive security thinking. Build practical awareness of how intelligent systems affect attack and defense workflows.
Strengthen your AI security skills with a deeper look at threats, controls, and secure implementation practices. Focus on practical learning that expands beyond foundational awareness.
Build practical Google AI security skills for protecting generative AI systems, securing deployments, and understanding modern defense controls across intelligent platforms. These training programs help professionals strengthen applied knowledge of AI security in real-world environments.
Learn how to secure Vertex AI and generative AI environments through practical security principles and control awareness. Focus on protecting AI workflows, reducing risk, and supporting safer deployment practices.