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Getting Ready to Work with AI

Start with the foundation every working professional needs before opening an AI tool. Then apply it to the field you already work in. Instructional design is the first vertical, built in the open.

Lessons
39
Credits
10–12 CPE
Aligned
ISC2 · CompTIA · ISACA · PMI

How it fits together

One foundation, then your field.

Working with AI well is two layers. Everyone builds the same foundation first. Then you apply it to the work you actually do. A credential layer sits on top.

  1. 01

    The base

    Getting Ready to Work with AI

    The device, account, network, and data habits every working professional needs before opening an AI tool. Digital Foundations is the on-ramp. Everyone starts here.

    Start the foundation
  2. 02

    The multiplier

    AI Readiness for your field

    Apply the foundation to the work you actually do. Instructional design is the first vertical, built in the open as a UMGC master's portfolio. More fields follow.

    See the ID build
  3. 03

    The proof

    Certifications

    Vendor cert prep across AWS, Microsoft, Google, and NVIDIA as the credential layer on top. Coming soon.

    Browse certs

Layer 1 · The base

Getting Ready to Work with AI

Six microcourses, 39 lessons. Self-attestable to ISC2, CompTIA, ISACA, and PMI. Digital Foundations is the on-ramp.

Placement test coming soonSpaced retrieval review →
  1. 1 / 6

    ~1.5–2 hr

    Digital Foundations

  2. 2 / 6

    ~3 hr

    AI Fluency Foundations

  3. 3 / 6

    ~2.5 hr

    Sensitive Data + AI-Safe Behaviors

  4. 4 / 6

    ~1.5 hr

    Working AI Fluency in Practice

  5. 5 / 6

    ~1.5–2 hr

    Benchmarking + Business Process Mapping

  6. 6 / 6

    ~2 hr

    Your AI Initiative Playbook

Layer 3 · The proof

Certifications

The credential layer on top of the foundation, across three tiers. Vendor cert prep coming soon.

Tier · Foundation

  • Coming Soon

    AWS · AIF-C01 · Target Jun 2026

    AWS AI Practitioner

    Foundation-model concepts, Bedrock, responsible AI, and prompt patterns. The on-ramp cert for the AWS AI lane.

  • Coming Soon

    Microsoft · AI-900 · Target Jul 2026

    Microsoft Azure AI Fundamentals

    Azure AI service overview, responsible AI principles, and the generative AI foundation. AI-901 is the announced successor (active after Jun 30, 2026).

  • Coming Soon

    Google Cloud · Gen AI Leader · Target Q4 2026

    Google Cloud Generative AI Leader

    Strategic and architectural framing of generative AI on Google Cloud. Vertex AI, Gemini, RAG patterns, governance, responsible AI. The credentialed signal for BakedIn's Gemini-routed video pipeline (Nano Banana Pro via OpenRouter).

  • Coming Soon

    GitHub · Actions · Target Jul 2026

    GitHub Actions

    CI/CD with Actions: workflow design, secrets, environments, matrix builds, and self-hosted runners. The deployment layer for shipping AI systems to production.

  • Coming Soon

    GitHub · Copilot · Target Aug 2026

    GitHub Copilot Certification

    Copilot fundamentals, prompt patterns for code, agent-mode workflows, and Copilot Workspace. Foundational AI-in-developer-tools signal.

Tier · Associate

Associate Certs

  • Coming Soon

    NVIDIA · NCA-GENL · Target Jun 2026

    NVIDIA Generative AI LLM Associate

    LLM architectures, training, alignment, and inference economics. First step in the BakedIn NVIDIA cert path supporting Authorized Learning Partner candidacy.

  • Coming Soon

    NVIDIA · NCA-GENM · Target Aug 2026

    NVIDIA Generative AI Multimodal

    Multimodal model design, evaluation, and deployment. Co-built with NCA-GENL prep; extends instructor coverage to vision and audio modalities.

Tier · Professional

Professional Certs

  • Coming Soon

    NVIDIA · NCP-AAI · Target Oct 2026

    NVIDIA Agentic AI Professional

    Agent architecture, multi-agent orchestration, RAG, observability, and safety. Professional-tier signal for the NVIDIA NVIS lane and instructor coverage of agentic workflows.

  • Coming Soon

    NVIDIA · NCP-GENL · Target Nov 2026

    NVIDIA Generative AI LLM Professional

    Production LLM systems: RAG pipelines at scale, model parallelism, inference optimization, and deployment patterns. Completes the NVIDIA LLM instructor track.

  • Coming Soon

    AWS · AIP-C01 · Target Q4 2026

    AWS Certified Generative AI Developer - Professional

    Foundation model integration, vector stores, RAG, agentic AI, multimodal pipelines, governance, and operational optimization on AWS. Tests Bedrock, SageMaker, Step Functions, Lambda, and the rest of the BakedIn production stack. Closest cert to BakedIn's actual work.