Allie K. Miller – AI First Academy is a practical artificial intelligence training program designed to help professionals understand, use, and integrate AI into everyday business activities. Created by Allie K. Miller, the academy covers everything from foundational AI concepts and prompt engineering to advanced workflows, custom GPT development, research, automation, and no-code application building. With more than 3 hours of training, the program is organized into four progressive learning tracks that demonstrate how AI can support productivity, analysis, communication, and business decision-making.
Course Overview
AI First Academy
AI-first mindset
What You Will Learn
- AI fundamentals: Understand LLM terminology, generative AI concepts, transformers, tokens, and the general principles behind AI model training.
- Prompt engineering: Develop structured prompts, refine instructions, control output tone, and improve the quality of AI-generated results.
- Multimodal workflows: Work with text, images, voice, documents, and other input types to complete different professional tasks.
- AI research and analysis: Use browsing and deep research capabilities to gather information, examine documents, and synthesize findings.
- Custom AI assistants: Explore custom GPT development, reusable context blocks, prompt libraries, and specialized assistants.
- Business automation: Apply AI to reports, meetings, research, decision support, and recurring workflows.
- No-code application development: Prototype interactive applications and business tools through conversational AI.
- AI risk management: Understand privacy considerations, hallucinations, bias, and the limitations of probabilistic systems.
Track 1: AI Basics
large language models (LLMs)
Core Competencies Built:
- AI Literacy: Understand how AI systems work, their capabilities, and their limitations to make informed decisions about adoption.
- Tool Navigation: Become familiar with AI interfaces, conversation management, and attachment workflows.
- Risk Assessment: Recognize privacy considerations, hallucination risks, and appropriate applications for AI.
- Strategic Mindset: Consider how AI can reshape existing business processes rather than simply supplementing them.
Track 2: AI for Beginners
prompt engineering
Core Competencies Built:
- Professional Content Creation: Draft emails, reports, presentations, and other materials using company-specific or individual communication styles.
- Document Processing: Upload and analyze contracts, research papers, and meeting notes to extract relevant information and insights.
- Real-Time Research: Access current information, verify facts, and combine findings from multiple sources with citations.
- Visual Communication: Generate images, infographics, and other visual materials for presentations and marketing activities.
Track 3: AI for Intermediate
custom GPT development
Core Competencies Built:
- Specialized AI Assistants: Build custom GPTs for recurring business processes, including document analysis, meeting synthesis, and competitive research.
- Strategic Context Management: Create reusable company context blocks that help AI systems work with business-specific information.
- Advanced Research & Analysis: Conduct multi-source investigations, verify citations, and evaluate topics from different stakeholder perspectives.
- Real-Time Strategic Collaboration: Explore voice interaction, screen sharing, and interactive workspace capabilities for collaborative problem-solving.
Track 4: AI for Advanced
interactive application development
Core Competencies Built:
- Application Development: Build interactive dashboards, calculators, and business tools through conversational AI without traditional coding.
- Autonomous AI Systems: Explore AI agents capable of handling multi-step workflows, research activities, and ongoing responsibilities.
- Workflow Architecture: Connect AI capabilities into coordinated business processes operating across multiple platforms and tools.
- Risk Management: Understand probabilistic behavior, deterministic capabilities, and bias mitigation when implementing AI at scale.
Closing Thoughts & The Future
Bonus Training Materials
BONUS: Lightning Overview
45 minutes
BONUS: Integrating AI at Work
- Automatically assembling competitive briefs.
- Streamlining strategy development.
- Accelerating team alignment.
- Creating and delivering multimodal content.
- Connecting AI skills from the Basics through Intermediate tracks.
Who Should Take AI First Academy?
- Business Owners and Executives: Professionals exploring ways to incorporate AI into business operations, strategic planning, and decision-making.
- Marketing Professionals: People interested in using AI for research, content creation, competitive analysis, and visual communication.
- Consultants and Freelancers: Independent professionals looking to improve productivity and develop AI-supported services.
- Managers and Team Leaders: People interested in meeting synthesis, team collaboration, reporting, and workflow automation.
- Non-Technical Professionals: Individuals who want to prototype applications and automate tasks using conversational AI rather than traditional programming.
- AI Beginners: Learners who need a structured introduction to AI concepts, prompting, and practical tools.
About Allie K. Miller
Allie K. Miller
Download Information
Course Name:
Instructor:
Category:
Content Type:
Language:
Format:
FileSize:
Course Page:
https://www.alliekmiller.com/ai-first-academy
