Organizations across every industry are looking for ways to harness the power of artificial intelligence to optimize operations, improve decision-making, and deliver better customer experiences. This text-based course guides you through using modern AI Foundry tools to build and deploy practical AI solutions that drive real business outcomes.
Through clear explanations and structured written exercises, you will transition from understanding core AI concepts to managing complete AI lifecycles. You will learn how to evaluate models, implement safety guardrails, and align technology with strategic business goals.
What you'll learn:
- Understand the foundational concepts of generative AI, large language models, and cloud-based AI infrastructure
- Navigate AI Foundry interfaces to manage datasets, models, and deployment environments
- Apply prompt engineering techniques and Retrieval-Augmented Generation (RAG) to ground models in business data
- Evaluate AI model performance using key metrics to ensure accuracy, safety, and alignment with business objectives
- Configure content filters and safety settings to implement responsible AI practices
- Deploy AI models as scalable endpoints that integrate seamlessly with existing business workflows
This course begins with essential definitions and core concepts before guiding you through the practical steps of model selection, customization, evaluation, and deployment. You will read comprehensive explanations and analyze real-world scenarios to build a solid foundation in modern AI management.
This course is designed for business analysts, product managers, and technology beginners who want to understand how to implement AI solutions without needing an advanced programming background. No prior experience with AI or machine learning is required.
Start reading today to unlock the potential of AI Foundry tools and drive measurable value for your organization.
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