Every Essential AI Skill in 25 Minutes (2025)
Description
Check out retool.com/tina to build enterprise-grade AI agents!
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In this video I talk about the essential AI skills for 2025.
🤝 Business Inquiries: https://tally.so/r/mRDV99
🖱️Links mentioned in video
AI Essentials Video: https://www.youtube.com/watch?v=0Kr1eh1wwb8
Prompt Engineering Video: https://www.youtube.com/watch?v=p09yRj47kNM
YC video: https://www.youtube.com/watch?v=ASABxNenD_U
OpenAI agents SDK: https://openai.github.io/openai-agents-python/
Google ADK: https://google.github.io/adk-docs/
Claude Code SDK: https://docs.anthropic.com/en/docs/claude-code/sdk
Anthropic Building Effective Agents: https://www.anthropic.com/engineering/building-effective-agents
Anthropic MCP: https://docs.anthropic.com/en/docs/mcp
Vibe Coding Video: https://www.youtube.com/watch?v=iLCDSY2XX7E
Claude 4 Models & Claude Code Video: https://www.youtube.com/watch?v=3xo1nQGqmYI
Firebase Studio Video: https://www.youtube.com/watch?v=Rd6F5wHIysM
PRD Example: https://docs.google.com/document/d/1NdXLvHqIz4Tmo2RPqigkTx54eBlzGaYnU9pu8ce3Ozo/edit?usp=sharing
🔗Affiliates
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/learn-sql-for-data-science-interviews/
365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina
🎥 My filming setup
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk
📲Socials
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX
🎥Other videos you might be interested in
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
🐈⬛🐈⬛About me
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com
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My Notes
00:00 intro
- The speaker introduces the goal of the video: to provide a comprehensive crash course on AI, covering basic definitions, prompting, agents, vibe coding, and future trends.
- Emphasizes that by the end, viewers will know more about AI than 99% of the population, provided they retain the information.
- Mentions assessments and quizzes throughout to reinforce learning.
- Notes that the content is aimed at preparing viewers for AI developments into 2025.
00:53 AI Basics & Terminologies
- Definition of AI: Computer programs that perform cognitive tasks associated with human intelligence.
- Historical AI: Traditional AI (machine learning) includes Google search algorithms and YouTube recommendations.
- Current AI Focus: Generative AI, which creates new content like text, images, audio, and video.
- Large Language Models (LLMs): Examples include GPT (OpenAI), Gemini (Google), and Claude (Anthropic).
- Multimodal Models: Capable of processing and outputting not just text but also images, audio, and video (e.g., GPT-4, Gemini 2.5 Pro).
- Key Terms:
- Generative AI
- LLMs
- Multimodal models
- Quiz (prompted):
- What is the primary function of generative AI?
- Name three examples of large language models.
- What does multimodal mean in AI models?
02:30 Prompt Engineering
- Prompting: The process of giving specific instructions to AI models to achieve desired outputs.
- Importance: The most valuable skill for interacting with AI; foundational for advanced AI work.
- How to Prompt Effectively:
- Choose your favorite AI chatbot (ChatGPT, Gemini, Claude).
- Use frameworks to craft prompts: Tiny Crabs Ride Enormous Iguanas (Task, Context, Resources, Evaluate, Iterate).
- Add personas, specify output formats, provide context, references, and examples.
- Evaluate results and iterate to improve outcomes.
- Frameworks:
- Tiny Crabs Ride Enormous Iguanas: Task, Context, Resources, Evaluate, Iterate.
- Ramen Saves Tragic Idiots: For further refinement—add personas, split prompts into shorter sentences, rephrase tasks, introduce constraints.
- Study Tip: Remember these pneumonics to outperform most users in prompt crafting.
- Additional Resources: Google's prompting course, prompt generators from OpenAI, Gemini, Anthropic.
- Key Terms:
- Prompting
- Frameworks
- Iterate
- Quiz:
- What are the five components of the Tiny Crabs Ride Enormous Iguanas framework?
- Why is iteration important in prompt engineering?
- How can references improve prompt quality?
09:20 Agents
- Definition: Software systems that use AI to pursue goals and complete tasks autonomously.
- Examples: Customer service agents (responding to emails), coding agents (building web apps).
- Current Capabilities: Handle common queries, generate MVPs, but not yet fully autonomous.
- Importance: AI agents are a hot area with significant investment; they will become more integrated into products and services.
- Key Components of AI Agents (from OpenAI):
- AI Model: The reasoning engine.
- Tools: Interfaces like email, databases, APIs.
- Knowledge & Memory: Context about the user or company, session history.
- Audio & Speech: Natural language interaction.
- Guardrails: Safety and control mechanisms.
- Orchestration: Deployment, monitoring, and improvement processes.
- Retool Platform:
- Enterprise-grade platform for building AI agents that connect to real systems.
- Supports reading/writing to databases, monitoring, access control.
- Example: University of Texas Medical Branch increased diagnostic capacity 10x.
- Over 10,000 companies use Retool.
- Building AI Agents:
- Use frameworks like OpenAI’s SDK, Google’s ADK, Claude SDK.
- Focus on understanding core components and protocols, as tools evolve rapidly.
- Multi-agent systems: Multiple specialized agents working together, similar to a company structure.
- MCP (from Anthropic): Standardized protocol for tool and knowledge access, like a universal USB for AI agents.
- Study Tip: Master the fundamental components and protocols, as they are less likely to change than specific tools.
- Quiz:
- What are the six components of an AI agent?
- Why is MCP important?
- How do multi-agent systems improve AI performance?
16:13 Vibe Coding
- Definition: Using AI to fully generate and implement applications based on high-level descriptions—"embracing the vibes."
- Vibe Coding: A new paradigm where you tell the AI what to build, and it handles the code.
- Example: Asking AI to create a React app for tracking moods with emojis and notes, and the AI generates the code.
- Key Principles & Best Practices:
- Tiny Ferrets Carry Dangerous Code: Mnemonic for vibe coding process—Thinking, Frameworks, Checkpoints, Debugging, Context.
- Thinking: Clearly define what you want (use PRD—Product Requirements Document).
- Frameworks: Use existing tools and libraries (React, Tailwind, etc.) to guide development.
- Checkpoints: Use version control (Git) to save progress and prevent loss.
- Debugging: Be patient, provide error messages, screenshots, and specific instructions.
- Context: Add detailed info, mockups, and examples to improve AI output.
- Workflow Modes:
- Implementation Mode: Focus on incremental feature building, providing context, frameworks.
- Debugging Mode: Focus on fixing errors, understanding structure, providing detailed info.
- Tools for Vibe Coding:
- Beginner: Lovable, Vzero, Bolt.
- Intermediate: Replit, Firebase Studio (no-code + IDE).
- Advanced: Windsurf, Cursor (full IDE, local setup).
- Most advanced: Command line tools like Cloud Code for complex, scalable projects.
- Study Tip: Approach vibe coding as a process of incremental building and debugging, always providing detailed context.
- Additional Resources: Full videos on vibe coding fundamentals, Firebase Studio, Cloud Code.
- Quiz:
- What does the mnemonic Tiny Ferrets Carry Dangerous Code stand for?
- Why is version control critical in vibe coding?
- Name two tools suitable for beginner vibe coding.
23:15 Future Stuff
- Rapid Pace of Change: Developments in AI are happening weekly, not monthly or yearly.
- Analogy: Dario from Anthropic compares it to being on a rocket traveling through warped time—everything is speeding up.
- Key Trends to Watch:
- Integration into workflows: Companies like Google are embedding AI into existing products to improve efficiency and user experience.
- AI-assisted coding & vibe coding: Lowering barriers to building and scaling applications.
- AI agents: Increasing focus on autonomous, goal-driven systems that can personalize and operate 24/7 at lower costs.
- Advice: Focus on underlying trends rather than chasing every new model or tool.
- Implication: Building AI agents and integrating AI into workflows will be crucial for future productivity and innovation.
- Final Note: The AI landscape is evolving fast, and staying adaptable and understanding core principles is key to leveraging future advancements.