AI Foundations

Ascendient Learning's introductory AI training is designed for anyone eager to understand the core and principles and governance behind generative artificial intelligence (GenAI). Whether you're a developer, data scientist, or simply curious about AI's potential, our courses provide the foundational knowledge you need to get started. Learn about different types of generative models, explore real-world applications, and begin building your own basic AI projects.

10 results found for "AI Foundations"

  • Generative AI Topic: AI for Business Users | Code: GAI-1601

    Creating an AI-Driven Workforce for Executives (Course)

    GAI-1601

    Plan AI initiatives across strategy, risk, and enterprise readiness from the executive level. A leader's-level view of AI covers generative and agentic AI, how they differ from traditional AI, how...

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  • Generative AI Topic: Predictive AI & Machine Learning | Code: GAI-1001

    Introduction to Generative AI Concepts (Course)

    GAI-1001

    Apply generative AI to daily workplace tasks without becoming an AI specialist. Generative AI foundations cover what GenAI is and how it differs from traditional AI, tokenization, embeddings,...

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  • Generative AI Topic: Predictive AI & Machine Learning | Code: GAI-1101

    Building Generative AI Applications (Course)

    GAI-1101

    Build production generative AI applications with hosted LLMs, LangChain, and agentic patterns. The course covers GenAI foundations, prompt engineering with CLEAR and RCTO, hosted-API chatbot...

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  • Generative AI Topic: Predictive AI & Machine Learning | Code: WA3403

    ChatGPT Basics (Course)

    WA3403

    This ChatGPT training course teaches the fundamentals of using ChatGPT and large language models (LLMs) effectively in business settings. Learn how to write clear, structured prompts using proven...

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  • Generative AI Topic: AI for Business Users | Code: GAI-2302

    Foundations of AI Governance (Course)

    GAI-2302

    Apply AI governance vocabulary, frameworks, and practices that work inside an organization. The NIST AI Risk Management Framework covers the Frame/Assess/Respond/Monitor cycle, the...

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  • Generative AI Topic: Predictive AI & Machine Learning | Code: GAI-1201

    Customizing Generative AI Models (Course)

    GAI-1201

    Tune generative AI models through evaluation, RAG, and parameter-efficient finetuning. Foundations and prompt engineering for customization cover GenAI concepts, basic LLM application building,...

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  • Generative AI Topic: AI & Agentic AI | Code: GAI-2001

    Foundations of Prompt Engineering (Course)

    GAI-2001

    Apply advanced prompt-engineering techniques for reliable generative-AI output across business and engineering tasks. GenAI fundamentals cover tokenization, embeddings, decoding, and the model...

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  • Generative AI Topic: Agile and DevOps | Code: AIC-1102

    Foundations of AI Coding Agents with GitHub Copilot (Course)

    AIC-1102

    Run GitHub Copilot as a capable AI coding agent rather than an autocomplete tool. AI coding agent architecture covers context windows, token limits, the plan-execute-iterate cycle, autonomous file and...

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  • Machine Learning & Artificial Intelligence (AI) Topic: Agentic AI | Code: AWS-AAI-FOUND

    AWS - Agentic AI Foundations (Course)

    AWS-AAI-FOUND

    In this course, you'll explore the core principles and strategies for designing Agentic AI systems using AWS services. You'll learn how Agentic AI differs from traditional conversational systems, and...

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  • Oracle Cloud Infrastructure Topic: Cloud | Code: D1111078GC10

    Oracle Cloud Infrastructure AI Foundations: Hands-on Workshop (Course)

    D1111078GC10

    The Oracle Cloud Infrastructure (OCI) AI Foundations course aims to introduce beginners to AI and ML, with a specific focus on their practical applications within Oracle Cloud Infrastructure. You will...

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