Allie K. Miller – AI First Academy

Here’s What You Get:

• Learn the essential AI terminology and concepts to navigate LLMs, generative AI, and prompt frameworks like an industry insider
• Build and organize your own AI workflows—from text and multimodal inputs to document, image, and live research tasks
• Draft, iterate, and refine prompts to generate higher-quality outputs for real business scenarios
• Experiment with advanced AI features like custom GPTs, context management, memory settings, and voice input for efficiency gains
• Integrate AI into your own workstreams, from automating reports and research to synthesizing meetings and decision support
• Pressure-test solutions using synthetic personas and recursive prompting—identifying blind spots and building better strategies
• Develop the AI-first mindset that helps you grow your skillset and your influence
• Architect and prototype personal AI-powered applications and workflows (even as a non-coder) then deploy them to solve real business challenges

What’s Inside

Explore the full lesson plan. In 3+ hours, you’ll learn how to apply AI to your work, with sessions that are direct, focused, and built for action.

Intro: Getting Started

Kick off with an overview of the AI-First approach, set your learning goals, and get practical tips for making the most of this course.

Track 1: AI Basics

AI terminology & concepts (LLMs, transformers, tokens), how LLMs are trained, tool navigation (ChatGPT, Claude interface basics), thread management and search, attachments & multimodal inputs, data privacy fundamentals, AI-first mindset development.

Core Competencies Built:

• AI Literacy: Understand how AI systems work, their capabilities and limitations, enabling informed decision-making about AI adoption.
• Tool Navigation: Master basic AI interfaces, thread management, and attachment workflows for immediate productivity gains.
• Risk Assessment: Recognize data privacy considerations, hallucination risks, and find appropriate use cases for AI deployment.
• Strategic Mindset: Develop AI-first thinking that reimagines business processes rather than retrofitting existing workflows.

Track 2: AI for Beginners

Structured prompting frameworks, multimodal inputs (voice/image/document), thread management, tone control, image generation, browsing integration, memory settings.

Core Competencies Built:

• Professional Content Creation: Draft emails, reports, presentations, and materials in company-specific or person-specific voice.
• Document Processing: Upload and analyze contracts, research papers, meeting notes for instant insights.
• Real-Time Research: Access current information, verify facts, and synthesize multiple sources with citations.
• Visual Communication: Generate images, infographics, and visual content for presentations and marketing.

Track 3: AI for Intermediate

Custom GPT development, context blocks & prompt libraries, voice dictation & multimodal workflows, real-time collaboration (screen sharing, canvas interfaces), deep research capabilities, synthetic persona testing, recursive prompting, company data integration.

Core Competencies Built:

• Specialized AI Assistants: Build custom GPTs for recurring business processes (contract review, meeting synthesis, competitive analysis).
• Strategic Context Management: Create reusable company context blocks that transform AI from a generic tool into a business-specific partner.
• Advanced Research & Analysis: Conduct multi-source investigations with citation verification and stakeholder perspective testing.
• Real-Time Strategic Collaboration: Use voice, screen sharing, and interactive workspaces for live strategy development while working with a personal AI companion.

Track 4: AI for Advanced

Interactive application development, AI task automation & agentic browsers, no-code app building, workflow automation, multi-agent orchestration insights, bias mitigation, probabilistic system management.

Core Competencies Built:

• Application Development: Build functional interactive dashboards, calculators, and business tools through conversational AI without coding.
• Autonomous AI Systems: Deploy AI agents that handle multi-step workflows, research tasks, and ongoing responsibilities independently.
• Workflow Architecture: Connect AI capabilities into seamless business processes that operate across multiple platforms and tools.
• Risk Management: Understand probabilistic AI behavior, deterministic capabilities, and bias mitigation while building more robust oversight systems for scaled AI usage.

Closing Thoughts & The Future

Revisit key takeaways, get tactical strategies for continuing to advance your AI skills after the course ends, and hear Allie’s predictions for the next inflection points in AI.

Bonuses

BONUS: Lightning Overview

For busy professionals or as a quick refresher, get a rapid executive-level video recap of essential concepts from all four tracks in just 45 minutes.

BONUS: Integrating AI at Work

Take a fast-paced, day-in-the-life journey with a hypothetical executive. This practical overview demonstrates the seamless integration of skills from AI Basics through Intermediate—automatically assembling competitive briefs, streamlining strategy creation, accelerating team alignment, and delivering multimodal content. Watch how an AI-first workflow comes together in minutes.