Videos

Practitioner

Learn workflows for meetings, writing, research, no-code tools, and repeatable business tasks.

Turn AI from a chat box into a dependable work habit.

54 videos1529 min total

Preview first videos

Builder

Go deeper into agents, RAG, MCP, structured outputs, evals, APIs, and local AI.

Evaluate and build AI systems without treating demos as production.

64 videos2699 min total

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Strategic

Cover governance, EU AI Act readiness, build-vs-buy decisions, ROI, and private AI choices.

Make safer AI adoption decisions for a team or company.

19 videos569 min total

Preview first videos

173 results

BeginnerParenting & Education

Using AI Wisely for School Success

State one rule of thumb for telling AI homework help apart from AI cheating.

BeginnerMedia & Information Literacy

How to tell if an image is fake content from AI

List two visual tells that can suggest (not prove) an image is AI-generated.

New to AIHealth & Care Navigation

Patients Compare Using AI Versus Doctors for Medical Advice

Note one example from the segment where an AI answer diverged from professional medical judgment - without treating the segment as medical advice.

New to AIPsychology & Reflection

Why AI can't be your therapist | Candice Thompson | TEDxApex

Name gaps between AI conversation and licensed therapeutic care so you know when to seek a human professional.

Connected, but alone? | Sherry Turkle

Articulate the difference between connection and companionship Turkle describes, and apply it to an AI chat habit.

New to AIPsychology & Reflection

How a handful of tech companies control billions of minds every day | Tristan Harris

Explain the concept of the 'attention economy' and name one design tactic used to capture attention.

1 minutes

What are Content Credentials || Content Authenticity

In one sentence, say what a Content Credential is meant to record about a piece of media - then confirm details in current C2PA/Adobe docs, since a 30-second clip is only an intro.

BeginnerMedia & Information Literacy

57 minutes

Friend or Foe? Living with and Learning from Artificial Intelligence

Identify two specific risks of AI companion apps for children discussed by the panel.

New to AIParenting & Education

New to AIWorkplace AI for Individuals

What is Shadow AI? The Dark Horse of Cybersecurity Threats

Define 'shadow AI' and name one category of data that should never go into a consumer AI chatbot.

1 minutes

Introducing ChatGPT Study Mode

Note one Study Mode behavior claimed in the announcement (for example guiding instead of dumping answers) - then check current product docs, since features change.

BeginnerLifelong Learning & Study

15 minutes

Griefbots offer AI connections with deceased loved ones

Name one risk or concern the segment raises about AI chatbots that simulate a deceased loved one - without treating the podcast as clinical grief advice.

The era of blind faith in big data must end | Cathy O'Neil

Name risks O'Neil associates with harmful scoring systems (for example opacity, scale, and damage) without treating the talk as a complete technical definition.

New to AIMedia & Information Literacy

Why do AI models hallucinate?

Explain in one sentence why an AI chatbot can sound confident while being factually wrong.

New to AIParenting & Education

Talking to Kids About AI: Privacy, Fairness, and Responsibility

Borrow one privacy, fairness, or responsibility talking point from the video to start an AI conversation with a teenager.

New to AILifelong Learning & Study

How AI Could Save (Not Destroy) Education | Sal Khan | TED

Write one tutor-mode prompt that asks AI to guide with questions rather than give the answer directly.

New to AIMedia & Information Literacy

How to protect yourself from AI-powered scams

Agree on a private verification phrase with your family for urgent calls - confirm details against current consumer-protection guidance, not news alone.

Is Using ChatGPT to Write Your Essay Bad for Your Brain? New MIT Study Explained.

Summarize what the news segment claims the study found about AI-assisted writing - then treat replication and limits as open, not settled.

12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer

Learn how to design AI workflows that can pause, resume, ask for human judgment and keep business state separate from model guesses.

AWS re:Invent 2025 - Implementing Human-in-the-Loop Controls for Multi-Agent AI Systems (CNS428)

See how approval gates can be implemented as explicit workflow checkpoints rather than informal manual review after something goes wrong.

32 minutes

How to Build Human-Centered AI Workflows in Localization with Shashi Bhushan

Learn how to introduce AI into localization without removing human ownership of meaning, tone, terminology and final approval.

Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings

Understand why multilingual embeddings matter for private internal search and where local retrieval can reduce data-exposure risk.

Conductor CEO Charlie Holtz Walks Us Through His AI Coding Setup

Set up a multi-agent coding workflow with explicit review boundaries so generated changes stay small, tested and owned.

56 minutes

AI Agents in Finance with HPE's Chief Financial Officer (CFO)

Build an ROI case for one AI workflow with a baseline, direct and indirect benefits, quality gates and an explicit stop decision.

41 minutes

Private AI vs. Cloud: How Enterprise Leaders Can Make Smarter Build-or-Buy Decisions

Make AI build-vs-buy decisions around outcome, data control, workload economics, infrastructure readiness and operational ownership.

Permissions & Access Control for RAG - a Deep Dive Tutorial

Evaluate practical access-control patterns for company knowledge RAG before indexing sensitive internal documents.

EU AI Act Explained: Turning Compliance into Competitive Advantage | Carme Artigas

Compare the video's historical timeline with current EU law, then map the current deadlines to the vendor-evidence and ownership tasks an SME must schedule.

37 minutes

VMware Private AI Foundation Capabilities and Features Update from Broadcom

Evaluate private AI as an infrastructure and governance decision instead of defaulting to either SaaS or self-hosting by instinct.

69 minutes

The Agent Landscape - Lessons Learned Putting Agents Into Production

Recognize the failure modes your own agents will hit first and pre-plan the tests, fallbacks and kill criteria for each.

7 minutes

Unlock Better RAG & AI Agents with Docling

Understand why document parsing, structure preservation and ingestion quality gates matter before building RAG over PDFs and mixed file formats.

6 minutes

AI Voice Agents: How They Actually Work & Why They Sound So Human

Recognize the core architecture of a voice agent and the failure points that affect customer trust in real calls.

211 minutes

Deep Dive into LLMs like ChatGPT

Understand the modern LLM stack well enough to reason about tokens, training, tools and failures.

AdvancedChatGPT & LLMs

40 minutes

Andrej Karpathy: Software Is Changing (Again)

Evaluate partial-autonomy product ideas where humans keep control over high-risk decisions.

AdvancedChatGPT & LLMs

190 minutes

LangGraph Complete Course for Beginners – Complex AI Agents with Python

You can build a LangGraph agent with typed state, conditional routing, checkpoints and tool use, and feel where the explicitness pays off.

66 minutes

CrewAI Tutorial: Complete Crash Course for Beginners

You can stand up a CrewAI crew in the role-goal-backstory style and judge how its hidden execution loop compares with explicit graphs.

15 minutes

How We Build Effective Agents: Barry Zhang, Anthropic

Design simpler agent loops with clear stopping rules, task boundaries and human control points.

Tips for building AI agents

Recognize common agent-building pitfalls before adding multiple agents, complex prompts or hidden state.

66 minutes

Cursor Vibe Coding Tutorial - For COMPLETE Beginners (No Experience Needed)

See the full beginner workflow for building a small Cursor project, including setup, prompting, debugging, basic Git and the limits of AI-assisted coding.

The "vibe coding" mind virus explained…

You can name the three guardrails to set before letting AI write code for you, and know why each one prevents a specific failure.

31 minutes

How To Build An AI Customer Support Agent with n8n (free template)

See how an n8n support workflow drafts retrieval-backed replies and proposes knowledge-base updates, then identify the controls needed before production use.

231 minutes

How to Build & Sell AI Agents: Ultimate Beginner's Guide

See how a support agent combines retrieval, escalation and workflow tools before production hardening.

37 minutes

I Tried AI as a Life Coach for 365 Days - Here's What I Learned

Use AI to challenge assumptions, compare options and surface counterarguments before making decisions.

Land a Job using ChatGPT: The Definitive Guide!

You can tailor a cover-letter hook and rewrite resume bullets against a real job description using a multi-prompt workflow.

I wish every Job Seeker would watch this

Use AI to prepare outreach, interviews and follow-ups while keeping your story specific and honest.

How to Become a Speed Learner (with ChatGPT)

Combine active recall, practice problems and AI explanations into a repeatable learning routine.

22 minutes

How to learn to code FAST using ChatGPT (it's a game changer seriously)

Generate a realistic study plan from your goal, schedule and constraints, then adapt it as you learn.

How to Use Copilot to Automate Meeting Notes in Microsoft Teams!

Design a meeting workflow that captures transcripts, summaries and action items without losing human review.

How To Use Otter AI To Transcribe Audio - Features and Overview

Compare a standalone transcription workflow with integrated meeting assistants before choosing a tool.

How to Improve Your Excel Skills with ChatGPT

Use ChatGPT to explain formulas and iterate on spreadsheet logic while verifying every result in Excel.

Excel's New AI Function is Absolutely Insane (Copilot Function)

See how spreadsheet AI can structure messy text and classify data, then check formulas and labels carefully.

23 minutes

How I Turned ChatGPT Into My Personal Assistant

See how a long-running ChatGPT thread can support meal planning, errands, trip prep and other low-risk life-admin tasks.

48 minutes

The ULTIMATE Beginners Guide to Midjourney in 2024

Learn Midjourney prompting intuition while separating durable prompt concepts from changing UI controls.

48 minutes

What AI Image Generator Should YOU Be Using??

Compare image generators by task fit, failure modes and cost instead of memorizing a fixed ranking.

24 minutes

I Built an AI Content Agent With N8N and Claude (Step-by-Step)

Design a marketing workflow where AI drafts and routes work, but humans keep control over strategy, brand voice and publishing.

I'm REVEALING ALL the Vibe Marketing Secrets (NO Gatekeeping)

Map the current marketing-tool landscape before deciding which workflows deserve automation.

90 minutes

The Ultimate Guide to Writing with AI

Use AI as a critical editor for structure, argument and revision without outsourcing your own voice.

This NotebookLM + Perplexity Workflow Will Cut Your Research Time by 50% (or More)

You can chain Perplexity and NotebookLM into one research pipeline that finds sources and then reads and synthesises them.

How to Use NotebookLM (Google's AI "Tool for Understanding")

You can set up a NotebookLM notebook and use it to summarise, question and cross-reference long documents from your own sources.

Building an AI Sales Bot to Call Leads For Me LIVE

Evaluate where voice agents might fit sales workflows and where disclosure, consent and escalation become blockers.

I Deep-Personalized 1000+ Cold Emails Using THIS AI System (FREE TEMPLATE)

Understand the data-enrichment and personalization pipeline behind AI-assisted outbound without confusing automation with quality.

How to Clone Your Voice with AI - Realistic AI Voice Clones (Full Tutorial)

Learn what recording quality and consent boundaries matter before creating a voice clone.

How to Use ElevenLabs - Best Text to Speech AI Voices (FULL GUIDE)

Understand the main AI-audio workflow categories: narration, speech-to-speech, voice design and cloning.

Learn 80% of Perplexity in under 10 minutes!

Choose between search, answer engines and chatbots based on source needs, freshness and the cost of being wrong.

23 minutes

I Built a Team of Research Agents for Newsletter Automation in n8n (No Code)

Study a multi-agent newsletter pipeline and identify where sources, approval and failure handling belong.

Google's 9 Hour AI Prompt Engineering Course In 20 Minutes

You leave with a compact framework for prompt clarity and iteration, plus worked patterns for emails, summaries and analysis.

Prompting 101 | Code w/ Claude

Build stronger prompts by adding role, task context, examples, constraints and output format one layer at a time.

New to AIPrompt Engineering

42 minutes

Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

You will be able to apply core prompting best practices and tell zero-shot from few-shot prompting in your own work.

New to AIPrompt Engineering

Google's 9 Hour AI Prompt Engineering Course In 20 Minutes

You leave with the five-part TCREI structure as a repeatable checklist for building and refining your own prompts.

24 minutes

Introduction to Operator & Agents

Recognize the browser-agent action loop, where it helps, and where human confirmation is still required.

2 minutes

Claude | Computer use for orchestrating tasks

Compare desktop computer-use behavior with browser-only agents.

How To Use NotebookLM For Beginners In 2024 (NotebookLM Tutorial)

Identify the source-selection, question, generated-artefact, and citation-inspection stages in a hosted document assistant.

How to Use NotebookLM (Google's AI "Tool for Understanding")

Observe a source-based notebook workflow and identify the retrieval, citation, provenance, and permission checks needed before relying on it.

29 minutes

Tree of Thoughts: Deliberate Problem Solving with Large Language Models (Full Paper Review)

Understand generate-score-prune reasoning patterns and when they are too expensive for real work.

Prompting 101

You can layer role, structured sections and explicit thinking steps into a prompt without turning chain-of-thought into a ritual.

4 ChatGPT Hacks that Cut My Workload in Half

Use AI to draft email faster, then pressure-test tone and clarity from the recipient's point of view.

Introducing GPT-4o

Understand why real-time conversational voice feels different from dictation or classic voice assistants.

3 minutes

Two GPT-4os interacting and singing

See multimodal voice interaction quickly, especially interruption, tone and camera-aware conversation.

69 minutes

The 5 Levels Of Text Splitting For Retrieval

Build intuition for chunking choices before tuning a real retrieval system.

24 minutes

"I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3

See how query rewriting, hybrid retrieval, reranking and corrective loops fit into one RAG pipeline.

Claude has taken control of my computer...

Understand why screenshot-based computer use is powerful, slow, expensive and brittle compared with API-native automation.

Anthropic's Claude Computer Use Is A Game Changer | YC Decoded

Decide where browser or computer-use agents might be commercially useful despite their operational risk.

IntermediateAI Safety & Data Privacy

OWASP's Top 10 Ways to Attack LLMs: AI Vulnerabilities Exposed

Use the OWASP LLM risk categories to review tool access, output handling and sensitive-data exposure.

IntermediateAI Safety & Data Privacy

What Is a Prompt Injection Attack?

Distinguish direct and indirect prompt injection and why filtering alone is not enough.

22 minutes

Context Engineering for Agents

Apply write, select, compress and isolate patterns to manage agent context deliberately.

Context Rot: How Increasing Input Tokens Impacts LLM Performance

Understand how long context can fail under ambiguity and distractors, then design tests around that risk.

Is This the End of RAG? Anthropic's NEW Prompt Caching

You can estimate when prompt caching pays off by weighing cache-write surcharges against read savings for your real workloads.

56 minutes

Build Hour: Prompt Caching

Use prompt caching only when stable prefixes, latency and cost behavior match the workload.

How To Create Custom GPTs - Build your own ChatGPT

Build a small reusable assistant with instructions, knowledge files and access settings.

I Switched 50% of My AI Work to Claude, Here's Why

Understand project-level context and when it is a better fit than repeating the same background in every chat.

How I use LLMs

Understand how a power user separates durable preferences from one-off context.

Every ChatGPT Feature In 37 Minutes

Configure personalization deliberately instead of letting memory, instructions and project context blur together.

22 minutes

AI For Data Analysis In 21 Minutes

See deep research and analysis modes applied to business research rather than only academic literature.

How to Use ChatGPT's Deep Research to Save HOURS on Research

Scope a deep-research task, wait for the report, then verify citations and source quality before using it.

107 minutes

Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar

Learn the product-builder eval loop: inspect traces, label failures, define criteria, test changes and compare against human judgment.

3 minutes

Evaluate prompts in the Anthropic Console

See the smallest no-code version of a repeatable prompt eval.

55 minutes

How to Systematically Setup LLM Evals (Metrics, Unit Tests, LLM-as-a-Judge)

Design an eval ladder that catches regressions before prompt or model changes reach users.

How to Construct Domain Specific LLM Evaluation Systems: Hamel Husain and Emil Sedgh

See how a production team layers assertions, human review and LLM judges so regressions surface before release.

42 minutes

Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

See how examples change model behavior and learn when few-shot prompting is worth the extra setup.

Prompting 101 | Code w/ Claude

You will be able to place examples inside a fuller prompt structure and anticipate how they change what the model produces.

157 minutes

Fine Tuning LLM Models – Generative AI Course

You will be able to run quantisation, LoRA and QLoRA fine-tunes end to end on hardware most developers already have.

59 minutes

Developing an LLM: Building, Training, Finetuning

Place fine-tuning inside the broader training pipeline and decide when it is better than prompting or RAG.

From Zero to Your First AI Agent in 25 Minutes (No Coding)

Build a first n8n AI-agent workflow while recognizing where tool access, memory and guardrails belong.

92 minutes

n8n Masterclass: Build AI Agents & Automate Workflows (Beginner to Pro)

Extend a simple agent into multi-step workflows with memory, error handling and realistic business integrations.

New to AINo-code AI Tools

29 minutes

GPTs Are Here: The Best Ones & How to Make Them

You can build your first Custom GPT end to end and judge which existing GPTs are actually worth adding to your toolkit.

44 minutes

New Products: A Deep Dive

Understand how Custom GPT instructions, actions and knowledge files fit together before pushing a simple assistant beyond the beginner workflow.

New to AINo-code AI Tools

How to use Zapier: Basics you need to know

Understand triggers, actions and simple automation flow before adding AI to a business process.

BeginnerAutomations

Automate Everything with Zapier AI Agents (Step-by-Step Beginner Guide)

Decide when an AI agent should own the trigger, reasoning and action instead of a plain Zap with an AI step.

BeginnerAutomations

15 minutes

Is ChatGPT Plus Worth it? Here's My Updated Review for 2025

Decide whether a paid ChatGPT plan is useful for your current workload instead of buying the most impressive-sounding tier.

How I use LLMs

See how an experienced user switches tools, modes and context strategies while keeping verification in the loop.

60 minutes

[1hr Talk] Intro to Large Language Models

Build a non-mystical mental model of LLMs as prediction systems with context windows, training data, sampling and failure modes.

How to Use Copilot to Automate Meeting Notes in Microsoft Teams!

Understand how integrated assistants can connect email, meetings and tasks into one reviewable work loop.

101 Ways To Use AI In Your Daily Life

Identify practical AI email moves: summarize threads, draft replies, adjust tone and organize follow-up work.

32 minutes

How To Learn Anything 10x Faster Than Anyone With AI

You can run a project-first learning loop, letting AI surface only the knowledge you need to finish something real.

How to learn anything fast using ChatGPT | Full guide to studying with AI

Turn a topic into a study plan with explanations, practice questions and feedback loops you can verify.

IntermediatePrivate / Local AI

Learn Ollama in 15 Minutes - Run LLM Models Locally for FREE

Install a local model runner, pull a small model and understand the privacy/performance tradeoff before using it for real work.

6 minutes

LM Studio Tutorial: Run Large Language Models (LLM) on Your Laptop

Try local AI through a GUI and compare small-model behavior with hosted frontier models.

IntermediatePrivate / Local AI

The Model Context Protocol (MCP)

Understand the protocol roles: host, client, server, tools, resources, prompts and transports.

How MCPs Make Agents Smarter (for non-techies)

Explain what MCP changes in plain language and decide whether a tool connection should use MCP or a simpler integration.

104 minutes

Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic

Understand how MCP fits into agentic systems beyond a local demo server.

75 minutes

The Ultimate MCP Crash Course - Build From Scratch

Build a first MCP server and understand how tools, schemas, prompts, resources and transports fit together.

Building more effective AI agents

Improve tool design so agents select the right action with the right parameters.

29 minutes

Prompting for Agents | Code w/ Claude

Decide which behavior belongs in the system prompt, tool description or tool precondition.

7 minutes

Memory for agents (conceptual video)

Separate short-term and long-term memory decisions and decide when agent memory should be written.

44 minutes

Building Brain-Like Memory for AI | LLM Agent Memory Systems

You can wire episodic, semantic, working and procedural memory into an agent in code, not just name the categories.

Every AI Model Explained

Compare flagship, lite, mid-tier and specialized models so routing decisions are based on task fit, cost and latency instead of brand preference.

RouteLLM achieves 90% GPT4o Quality AND 80% CHEAPER

Evaluate model-routing tradeoffs between quality, cost and reliability before adding orchestration complexity.

IntermediateAI Productivity

AI Tools You'll Use Everyday (And How To Use Them)

Identify distinct workflow stages and create testable tool-selection criteria for each one.

IntermediateAI Productivity

101 Ways To Use AI In Your Daily Life

Turn several use-case ideas into candidate stages that you can test against the article's capability and handoff criteria.

n8n vs Make: Don't choose the wrong one (2025)

Choose an automation platform based on hosting, AI-agent fit, integrations and maintenance tradeoffs instead of product hype.

28 minutes

35+ INSANE Ways To Use NotebookLM (For FREE)

Expand NotebookLM from a summarizer into a repeatable research and learning workflow.

35 minutes

How To Master NotebookLM in 2026 (Free Course)

Build a source-grounded research notebook and turn it into briefings, study guides or working notes.

LangSmith in 10 Minutes

You can navigate traces, projects and datasets in LangSmith and read off token cost, latency, error rate and per-span detail.

154 minutes

Instrumenting & Evaluating LLMs

Connect tracing, evaluation, feedback and production review into an operating loop for LLM systems.

New to AIAI Safety & Data Privacy

93 minutes

Sam Altman | This Past Weekend w/ Theo Von #599

Understand that chatbot conversations are not automatically private, privileged or safe for sensitive business details.

BeginnerAI Safety & Data Privacy

How to Secure AI Business Models

You can name the three risk surfaces generative AI adds at work — data, model, usage — and describe the controls each one needs.

BeginnerAI Safety & Data Privacy

What is Shadow AI? The Dark Horse of Cybersecurity Threats

Explain why personal AI accounts create workplace data risk and how to set safer boundaries.

RAG Agents in Prod: 10 Lessons We Learned — Douwe Kiela, creator of RAG

Understand what breaks when RAG moves into regulated, high-stakes enterprise use.

Building Production-Ready RAG Applications: Jerry Liu

Identify the production RAG controls missing from naive document-chat demos.

Attacking LLM - Prompt Injection

Model prompt injection as untrusted-data mixing and design boundaries around tool use.

Defending LLM - Prompt Injection

Review prompt-injection defenses such as taint analysis, output-shape restrictions, user isolation, deterministic settings and redundant checks for critical paths.

3 minutes

Building OpenAI o1

See the original o1 launch framing and separate that historical account from current implementation guidance.

28 minutes

o1 - What is Going On? Why o1 is a 3rd Paradigm of Model + 10 Things You Might Not Know

Understand one historical account of o1, then compare a direct task specification with other supported prompt variants on your current model and workload.

RAG vs. Fine Tuning

Explain when retrieval is the right fix and when fine-tuning may actually help.

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

Choose between prompt engineering, RAG, fine-tuning or a combination based on the actual failure mode.

77 minutes

AI prompt engineering: A deep dive

Hear how production prompt engineers revise instructions, examples and behavioral constraints under real pressure instead of treating prompts as one-off text.

Prompting 101 | Code w/ Claude

Watch a vague insurance-claims prompt become a structured, testable prompt with clearer examples, output rules and refusal behavior.

39 minutes

Introducing RAG 2.0: Agentic RAG + Knowledge Graphs (FREE Template)

Compare agentic retrieval and graph retrieval in a concrete implementation.

Graph RAG: Improving RAG with Knowledge Graphs

Understand the Microsoft-style GraphRAG flow: entity extraction, communities, summaries and query-focused synthesis.

The best ChatGPT Prompt I've ever created - I spent 2 months curating this prompt to write prompts

Evaluate C.R.A.F.T. as one candidate structure for generating prompts, using representative cases and explicit acceptance criteria.

Google's 9 Hour AI Prompt Engineering Course In 20 Minutes

Extract a candidate prompt structure, then add ownership, versioning, evaluation, limits and fallback fields before review.

How I use LLMs

Learn to route work across fast, cheap, deep-reasoning and source-grounded tools instead of using one model for everything.

BeginnerChatGPT & LLMs

The New, Smartest AI: Claude 3 – Tested vs Gemini 1.5 + GPT-4

See a structured comparison method you can reuse when deciding which model is good enough for a task.

BeginnerChatGPT & LLMs

32 minutes

Fast LLM Serving with vLLM and PagedAttention

Understand why serving engines, batching and KV-cache memory dominate self-hosted inference economics.

101 Ways To Use AI In Your Daily Life

Choose a few low-risk everyday AI tasks and test prompts by comparing the result to your own judgment.

Live demo of GPT-4o vision capabilities

You can use the camera as an input, showing ChatGPT handwritten work and getting tutoring instead of a spoiled answer.

42 minutes

Vertical AI Agents Could Be 10X Bigger Than SaaS

Assess when vertical AI agents create real defensibility and when they are only thin wrappers.

34 minutes

How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra

Evaluate AI product pricing and specialization around measurable outcomes rather than seat counts.

How I use LLMs

You can recognize when to follow up, when to switch models and when to start a fresh conversation, calibrated against real day-to-day usage.

41 minutes

OpenAI DevDay 2024 | Structured outputs for reliable applications

You can explain what strict mode guarantees, how it differs from old JSON mode, and how refusal handling fits the structured-output contract.

Pydantic is all you need: Jason Liu

Learn why schema-first LLM calls need typed objects, validators, retries and explicit handling for malformed or hallucinated fields.

Wharton professor: 4 scenarios for AI's future | Ethan Mollick for Big Think+

Use multiple AI future scenarios to plan adoption without betting the company on one forecast.

60 minutes

Every leader needs this AI strategy | Ethan Mollick explains

Frame AI adoption around workflow change, capability building and realistic organizational risk.

34 minutes

"Generative AI" is not what you think it is

You can push back on the slop, magic and theft framings with a clearer picture of what generative models actually do.

What We Get Wrong About AI (feat. former Google CEO)

You can argue a sober middle position between the doom and utopia extremes of the AI debate, and know which questions actually matter.

Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)!

You can assemble task, context, exemplars, persona, format and tone into working prompts for everyday office tasks.

Every Essential AI Skill in 25 Minutes (2025)

Recognize reusable prompt patterns and combine them into clearer instructions, examples and evaluation steps.

Andrew Ng: Opportunities in AI - 2023

You leave with a realistic sense of what AI is good at today, where it falls short, and which opportunities are worth taking seriously.

Large Language Models explained briefly

You can explain in plain words how an LLM predicts the next token and why calling it autocomplete on steroids is fair but incomplete.

Every AI Model Explained

Understand the product and model-family landscape well enough to choose one starting tool and stop endlessly comparing tabs.

Why Large Language Models Hallucinate

You can name the four kinds of hallucination and recognize which one you are looking at when a chatbot gets something wrong.

ChatGPT with Rob Miles - Computerphile

You can explain why a model trained to predict plausible text will sometimes invent facts, no matter how polished it sounds.

90 minutes

The Ultimate Guide to Writing with AI

Use AI for research, structure and revision while keeping final wording and judgment under human control.

Every ChatGPT Feature In 37 Minutes

Recognize the main ChatGPT surfaces so you can explore deliberately instead of clicking at random.

39 minutes

ChatGPT Tutorial: 35 Tips I Wish I Knew Sooner

Get oriented inside ChatGPT without treating every new sidebar item as something you must master on day one.