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The 30 Day AI Apprenticeship

6h 52m 50s
English
Paid

The 30 Day AI Apprenticeship is a 29-lesson 6 hours 52 minutes self-paced course by Ryan Turner. Practical AI is not about "magic buttons".

Course facts

Lessons
29
Duration
6 hours 52 minutes
Level
All levels
Language
English
Updated
Instructor
Ryan Turner
Price
Premium

Practical AI is not about "magic buttons".It's about systematic thinking, proper task setting, and the ability to turn AI into a real working tool.

Why practical AI literacy is a key skill today

AI will not replace you. But it will be done by someone who knows how to work faster, more accurately, and more structurally thanks to AI tools. Most users make superficial requests and receive unstable results. This course helps develop skills that will give you a competitive edge, regardless of which tool you use.

What this 30-day course will give you

You will learn repeatable approaches that turn AI into a reliable assistant: from working with texts to research, solutions, and complex workflows. Daily short practices and live analyses will help develop the mindset of a modern AI operator.

How this course differs

  • Forms a daily habit of working with AI (20 minutes a day, on weekdays)
  • Includes weekly Show & Tell sessions with analysis of real results
  • Teaches skills that work in any AI tools
  • Based on practical work tasks, not theory
  • Helps create your own processes and templates tailored to your work

What skills you will master

Setting the right tasks for AI

  • Write clear professional texts with minimal edits
  • Stop using abstract requests like "make it better"
  • Provide AI with structured instructions for predictable outcomes
  • Apply the method of correcting weak results

Conduct research faster and more efficiently

  • Transform chaotic questions into structured research
  • Limit searches to eliminate "fluff" and get accurate answers
  • Verify the accuracy of information without endless rechecks

Create ready results faster

  • Work with a system: think → structure → create → edit → complete
  • Separate the stages of thinking and formatting to avoid getting stuck
  • Understand when a task is truly completed

Create processes that work for you

  • Turn the best queries into repeatable workflows
  • Create a personal library of templates and prompts
  • Avoid working "from scratch" and use proven structures

Demonstrate the effectiveness of your work

  • Measure time savings across tasks and weeks
  • Identify processes with the maximum return specifically in your field
  • Leave the course with ready-made artifacts and demonstration results

Build a reputation as a strong specialist

  • Develop the mindset of a modern AI operator
  • Improve the quality and speed of task execution
  • Gain confidence transferable across tools: ChatGPT, Claude, Gemini, and others

Who this course is for

  • Product and project managers overloaded with documents and communication
  • Operations, Finance, and HR specialists working with regular analytics and reports
  • Marketers, sales specialists, and consultants who need quick, quality materials without losing style

Who teaches The 30 Day AI Apprenticeship? Ryan Turner

Ryan Turner thumbnail
I am Ryan Turner. For over 20 years, I have been building and developing teams that achieve real work: from agile startups where much must be accomplished with minimal resources to large organizations with complex and high-risk processes. Today, I help teams implement AI in a practical format so that it yields measurable results: saving time, improving quality, and making faster decisions.

What lessons are included in The 30 Day AI Apprenticeship?

This is a demo lesson (10:00 remaining)

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#1: Getting Started with AI Tools — Class Overview and Setup
All Course Lessons (29)
#Lesson TitleDurationAccess
1
Getting Started with AI Tools — Class Overview and Setup Demo
08:13
2
Harnessing AI — The Importance of Skillful Usage and Continuous Learning
10:21
3
Understanding AI Hallucinations — Why It Lies
14:34
4
Understanding AI’s Context Window and Its Limitations
13:19
5
Navigating AI Use and Ethical Disclosure in Personal and Professional Contexts
14:20
6
Kickoff to Your 30-Day AI Apprenticeship Journey
14:42
7
Mastering Effective Communication — The Power of Commands and Success Criteria
08:25
8
Mastering AI Inputs — The Importance of Context and Markdown
14:11
9
Mastering AI Communication — The Power of Constraints
08:31
10
Navigating Variability in Generative AI Responses
07:55
11
Harnessing AI for Effective Prompt Creation and Project Kickoff
10:45
12
Mastering AI Tools for Effective Communication and Content Creation
29:16
13
Mastering Deep Research — Unlocking the Power of AI Tools
11:16
14
Mastering Web Extraction for Efficient Data Gathering
07:15
15
Revolutionizing Learning with AI — Real-Time Screen Sharing and Guidance
09:41
16
Building Context for AI — Mastering the Art of Grand Slam Offers
12:28
17
Mastering AI — Building Your Unique Voice and Skills
20:11
18
Connecting AI Tools for Seamless Workflows
12:52
19
Mastering Communication Tools for Better Productivity
10:23
20
Transforming Data Reports — From CSV to Insightful Excel and Word Documents
13:08
21
Unlocking the Power of Vibe Coding — Build Your Own Tools in Minutes
16:22
22
Evaluating AI Outputs — Methods for Quality Assurance
15:53
23
Mastering Presentation Workflows — From Ideas to Impact
25:28
24
Embracing AI — Getting Away from the Keyboard for Productivity
13:59
25
Maximizing Efficiency — Creating Personal Workflows with AI
09:32
26
Unlocking the Power of Agentic Workflows with AI
19:14
27
Streamlining Meeting Follow-Ups with Google Workspace Workflows
15:56
28
Maximizing Workflow Efficiency — Maintenance and Measurement Tips
13:27
29
Mastering Workflow Automation — From Forms to Contracts
31:13
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Frequently asked questions

What are the prerequisites for enrolling in this course?
The course does not specifically list any prerequisites. However, a basic understanding of AI tools and general computer literacy would be beneficial. The course is designed to develop skills using AI as a practical tool, so having some exposure to AI concepts may enhance your learning experience.
What kind of projects will I work on during the course?
Throughout the course, you will engage in practical work tasks rather than theoretical exercises. This includes mastering AI tools for effective communication, content creation, and data transformation tasks such as converting CSV files into insightful Excel and Word documents. Additionally, you will create personal workflows and automate processes like meeting follow-ups using tools like Google Workspace.
Who is the target audience for this course?
The course is targeted at individuals looking to integrate AI into their daily workflows to enhance productivity and efficiency. It is suitable for professionals across various fields who want to learn how to set the right tasks for AI, write clear texts with minimal edits, and apply AI tools for structured research and efficient data gathering.
How does this course compare to other AI courses in terms of depth and scope?
Unlike many AI courses that focus on theory, this course emphasizes practical application and skill-building through daily short practices and live analyses. It aims to form a daily habit of working with AI, teaching skills that can be applied to any AI tool. The course covers a wide range of practical topics, including communication, research, data transformation, and workflow automation.
What AI tools will I learn to use in this course?
The course covers various AI tools and their applications, focusing on developing a mindset to use any AI tool effectively. Lessons include mastering AI inputs, building workflows, transforming data reports, and maximizing workflow efficiency. You will also learn to use communication tools and connect AI tools seamlessly for enhanced productivity.
What is not covered in this course?
The course does not focus on the technical development or programming of AI models. Instead, it is centered around the practical application of existing AI tools to improve workflows and productivity. Topics like AI model training, in-depth algorithm analysis, or advanced data science are not covered.
What is the expected time commitment for this course?
The course is designed to be completed over 30 days, with a daily commitment of around 20 minutes on weekdays. This structure helps build a habit of integrating AI into your daily routine while ensuring that the learning process is manageable alongside other commitments.