Ankor NovaAcademy

Applied AI for Teams

From Fluency to Production

A practical company-wide program that turns AI understanding into useful workflows, durable systems, and responsible adoption.

5 modules
20 lessons
3 hr 1 min
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Part 1

Foundations

Build a shared language for using generative AI effectively, safely, and with realistic expectations.

  1. AI at Work

    Understand where generative AI creates value at work and where human judgment remains essential.

    14:36
  2. How Language Models Work

    Develop a practical mental model of capabilities, limitations, hallucination, and non-determinism.

  3. Prompting Fundamentals

    Use context, examples, constraints, and iteration to collaborate more effectively with AI.

    15:47
  4. Safe and Responsible Use

    Recognize sensitive data, risky use cases, and the situations that require verification or escalation.

Part 2

Applied Workflows

Move beyond isolated prompts by redesigning real work around repeatable, measurable AI-assisted workflows.

  1. Finding High-Value Workflows

    Identify repetitive, information-heavy work where AI can produce meaningful operational gains.

    14:52
  2. Research, Analysis, and Decisions

    Turn scattered information into structured research, comparisons, summaries, and decision support.

  3. Communication and Content

    Create reliable drafting and review workflows that preserve context, voice, and human accountability.

    19:07
  4. Department Workflow Lab

    Apply the method to client-selected workflows across commercial, operational, technical, or leadership teams.

Part 3

Claude Track

Learn the Claude product surface and turn its core capabilities into practical tools for everyday work.

  1. The Claude Workspace

    Understand Claude's core interfaces and choose the right surface for each kind of work.

    22:08
  2. Projects and Knowledge

    Build persistent, role-specific workspaces grounded in relevant instructions and source material.

  3. Artifacts and Connected Tools

    Create useful outputs and bring approved business context into Claude through connected tools.

    15:34
  4. Claude Code for Teams

    Use Claude Code for development, analysis, documentation, and small internal tools with appropriate review.

Part 4

Agents and Automation

Connect models, tools, and human checkpoints to build dependable multi-step systems.

  1. From Prompts to Workflows

    Transform successful conversations into repeatable processes with clear inputs, outputs, and owners.

    23:43
  2. Connecting Tools with MCP

    Understand how MCP connects AI to approved company systems, data, and actions.

  3. Designing Agentic Systems

    Design multi-step tasks with tool use, explicit boundaries, evaluation, and human checkpoints.

    20:47
  4. Production Workflow Capstone

    Turn one department workflow into a tested Project, agent, or automation ready for controlled rollout.

Part 5

Governance and Risk

Create the policies, permissions, review practices, and adoption measures required for durable AI use.

  1. AI Usage Policy

    Define approved uses, prohibited uses, data-handling expectations, and clear escalation paths.

    16:07
  2. Permissions, Privacy, and Auditability

    Align access, connectors, retention, and audit trails with organizational responsibilities.

  3. Human Review and Risk Controls

    Place proportionate verification and approval gates around sensitive or consequential work.

    18:43
  4. Adoption, Measurement, and Rollout

    Plan champions, support, measurement, and iteration so useful workflows become normal operating practice.