AskBeevs
AskBeevs
AskBeevs
AskBeevs

AskBeevs

“Stack of Stuff” by AskBeevs.

AskBeevs.com is designed to help you build Agency in the AI era.

START

🚨Welcome

CHAPTERS

(Read these as a high level view of what is detailed in each section)

👾[1] SOCIETY🧗[2] BEHAVIOUR🫰[3] PERSUASION💬[4] ARTIFICIAL INTELLIGENCE🏦[5] BUSINESS🕶️[6] SOCIAL MEDIA🌿[7] ETHICS

[1] SOCIETY

🚨AI is going to blow things up

The industrial era is over

💥education system change😮traditional pathway failure🚧power structure collapse👑leadership challenge

New rules of the game

🏎️velocity vs acceleration🚤speed boats vs tankers⚖️protagonists vs peasants👺creators vs consumers🥷skills vs credentials🙇10x Not +10%😵‍💫hype vs BS🪜incrementalism wins⚒️focus on human problems🗺️start local🪹be empathetic🏂be a value creator, not taker🏊‍♀️be adaptable🧑‍🏫don’t trust institutions

[2] BEHAVIOUR

🚨You need to become formidable

Things you need to unlearn

🤣dont start with theory😂dont wait for permission😜don’t perfect before shipping🤫don’t learn tools in isolation🫣don’t respect traditional boundaries🤭don’t build for imaginary users

New ways of working

🏄ship daily💁‍♂️70% threshold🤜pivot fast📝document everything

Battling resistance

👩‍🏫dealing with skeptical teachers👨‍🦰deflecting concerned adults🤼dealing with jealous losers🏢dealing with rejection🤫stealth mode operations🪖success camouflage🫣chameleon behaviour

Being impenetrable

🙅rejection immunity☑️confidence without arrogance🤠imposter syndrome🖕‘screw what they think’😇unshakable self belief🙄dealing with haters❤️‍🩹emotional resiliance😎shake the stress

Extra life power ups

🌅morning routine🫀health mastery⌚managing time📝studying properly📪email is shit💳finances

[3] PERSUASION

🚨Persuasion is the ticket

Robert Cialdini Tactics

🤝reciprocity🧑‍💻social proof🗣️authority😱scarcity🎮consistency💕liking🇬🇧unity

Telling your story

👨‍💻code-switching💧watering down🏰storytelling📧email persuasion📹video editing📣voice and tone💬words are powerful📝negotiation

Working with people

🎣finding leads❌dealing with rejection⚓dangers of anchoring🤝closing deals✊following up🖤loyalty powerup

[4] ARTIFICAL INTELLIGENCE

🚨Artificial intelligence

The new game in town

🦿AI is bigger than you think🎲you need a game plan🖲️don't fear the technology

Foundations of AI

💠understanding LLMs🔮why consumer AI rules🖥️finding a computer💢open source vs closed source💎model selection guide👨‍🎓prompt engineering guides📲prompt anatomy👨‍🏫PRECISE framework🔮prompt context technique🤟format control💬constraints🐕bringing it together🤠advanced prompting👯‍♀️domain specific prompting💥prompt injection and jailbreaking📝prompt version control

Vibe code superpowers

🏄an introduction to vibe coding🏇natural language vibe coding

Limitations

👌AI quality assurance🕶️bias detection and mitigation🤽‍♀️iterative refinement prompting

Tooling

🔥replit.com🐺bolt.new🍇claude code🪩openAI codex CLI🐘vy by vercept✨lutra📐roo tools in VS code🇨🇳trae **use with caution🖍️n8n.io👨‍🎨mastering midjourney🪡runway🎨canva🗣️elevenlabs🐣chatbase.co🍍notebook lm (by Google)🖌️gamma🧞‍♂️synthesia AI avatars

It’s important to note that this space is moving fast.

[5] BUSINESS

🚨Institutions don’t like entrepreneurs

Business concepts

💶ABN/business registration💲Australian tax basics©️contract negotiations📘intellectual property🤑invoicing and payments📈accounting and cash flow🗂️business entity formation

Pitch mastery

🪄persuasion psychology🙇mastering ethical influence🔞age based objections〰️pricing persuasion🤾social proof collection📈lead qualification automation🗣️how to follow up

Specific business ideas

Service ideas

🖱️AI setup consulting🚶‍♂️AI workflow automation🖥️content creation services at scale⛰️virtual assistance👩‍💻low code platform development🦊vibe coding services👬social media management

Product ideas

🧩custom GPT marketplace sales🎯automation template creation🥋AI-generated content packages💾digital course development🔰notion templates and systems🎱consultation and coaching📒ebooks and guide creation

Process automation ideas

🤖customer service chatbots🛣️lead generation systems💸invoice and payment processing📰content publishing pipelines⌨️data entry elimination📥report generation🚀client onboarding sequences

Local ideas

👔small business AI📍local market research👨‍👨‍👧community events🍢hyperlocal content marketing💫main street digital transformation

[6] SOCIAL MEDIA

🚨Social media power

Social media

🎲social media📣engagement🗨️responding to comments🫠stand your ground🦺staying safe💅monetisation traps

Platforms

🦂TikTok🐅Instagram🦁Facebook🐐YouTube🏢LinkedIn🏋️X

[7] ETHICS

🚨Do the right thing. Period.

Compacts

📱AI model bias📵transparency📥consent and disclosure🧑‍🤝‍🧑social impact🧑‍🦼accessibility🫰human comparison test🔐privacy first

stack specific tutorials

🧠Installing and using Claude Code📐power of supergrok to pick a chinese car🍍ChatGPT Agent, vs Grok 4, vs Claude vs Google Gemini Pro, vs Claude Code vs Google CLI & Notebooklm🪡How to shift personas to crush problems🐺Advanced lead generation with Grok X🌔Building a services side hussle with Claude

older video content

🔌getting a good electricity deal🌲tree of thought prompt📕how to build your own GPT🆓free AI comparable to ChatGPT 4.0 - Meta Llama 3.1💼writing a job cover letter🧩google gemini extensions feature♦️notdiamond.com (free for now!)💳getting a discount with Google Gemini Gems🦾infraNodus crazy power⚖️understanding Legislation with AI🔍online shopping with Microsoft Bing CoPilot👾new Apple IMac for $50 - with Chrome OS Flex🧠strategic Scenarios in ChatGPT🍩being your own nutritionist with ChatGPT i0🤖basics of prompt engineering (lesson)🧑‍🏫build your own tutor with ChatGPT GPTs🧳building an AI travel agent with Gemini🎙️being a political advisor with genAI🗃️AI powered invoice generator for Small Business🖌️more advanced quoting models🏗️building an advanced quoting engine😀places to get prompt engineering examples🦸‍♀️building your own support bot🕵️‍♂️text to Code Replit📈build your own stock tracker with Replit💬build your own API CHATBOT with AI via Replit🤺microsoft word Killer💯how to build a company chatbot with no code🔍writing boring compliance documents cheap and fast👨‍💻prompt engineering with no thought🏡build a mortgage repayment calculator with AI (No coding required)💾deploying a real application for Savings Sidekick📝ChatGPT Canvas Re-Learning How to Write🌐forget Shopify! Build a WILD Website To Sell ANYTHING🗯️perplexity spaces🧮wolfram alpha👏google chrome new android features✳️modelling risk in financials with perplexity🤯Unlock the Power of Prompt Engineering: Create a Keynote in Seconds!🧑‍💻no code token based chat-bot with Claude🔎Chat GPT search👊being an armchair critic🖱️basic tour of Chrome OS👏overview of AI tools🧑‍💻Building a Startup App in 21 Minutes: From Idea to Deployment🧙gamma app📺Unlock the Hidden Knowledge in YouTube Videos!🕺Build your own API Bot with GitHub and Streamlit👏Run Plasma Discover on Linux on ChromeOS💫Google Gemini 1.5 Pro Deep Research🤩Google Gemini Flash Experimental👨‍🌾using AI to be a better farmer⛏️Building an industrial cut and fill excavation app⛏️Building an industrial cut and fill app PART 2🍴Cooking with AI🤖Building a custom survey tool

prompt engineering examples

Fabric prompts

‣
analyse [16]
analyse_answersanalyse_claimsanalyse_debateanalyse_incidentanalyse_logsanalyse_malwareanalyse_paperanalyse_patentanalyse_personalityanalyse_proseanalyse_prose_jsonanalyse_prose_pinkeranalyse_spiritual_textanalyse_text_impactanalyse_threat_reportanalyse_threat_report_trends
‣
create [33]
create_5_sentence_summarycreate_academic_papercreate_ai_jobs_analysiscreate_aphorismscreate_art_promptcreate_better_framecreate_coding_projectcreate_commandcreate_cyber_summarycreate_git_diff_commitcreate_hormozi_offercreate_idea_compasscreate_investigation_visualisationcreate_keynotecreatecreate_markup_visualisationcreate_mermaid_visualisationcreate_micro_summarycreate_network_threat_landscapecreate_npccreate_patterncreate_quizcreate_report_findingcreate_security_updatecreate_show_introcreate_sigma_rulescreate_stride_threat_modelcreate_summarycreate_tagscreate_threat_scenarioscreate_upgrade_packcreate_video_chapterscreate_visualisation
‣
explain [4]
explain_codeexplain_docsexplain_projectexplain_terms
‣
extract [22]
extract_algorithm_update_recommendationsextract_article_wisdomextract_book_ideasextract business ideasextract_controversial_ideasextract_extraordinary_claimsextract_ideasextract_insightsextract_main_ideaextract_patternsextract_pocextract_predictionsextract_questionsextract_recommendationsextract_referencesextract_song_meaningextract_sponsorsextract_videoidextract_wisdomextract_wisdom_agentsextract_wisdom_dmextract_wisdom_nometa
‣
find [2]
find_hidden_messagefind_logical_fallacies
‣
get [2]
get_wow_per_minuteget_youtube_rss
‣
improve [4]
improve_academic_writingimprove_promptimprove_report_findingimprove_writing
‣
rate [5]
rate_ai_responserate_ai_resultrate_contentrate_valueraw_query
‣
recommend [3]
recommended_artistsrecommend_pipeline_upgradesrecommend_talkpanel_topics
‣
summarise [11]
summarizesummarize_debatesummarise_git_changessummarise_git_diffsummarise_lecturesummarise_legislationsummarise_microsummarise_papersummarise_promptsummarise_pull_requestssummarise_rpg_session
‣
write [6]
write_essaywrite_hackerone_reportwrite_micro_essaywrite_nuclei_template_rulewrite_pull_requestwrite_semgrep_rule
‣
miscellaneous [15]
agility_storyaianswer_interview_questionsask_secure_by_design_questionscapture_thinkers_workcheck_agreementclean_textcoding_mastercompare_and_contrastexport_data_as_csvlabel_and_rateofficial_pattern_templateprovide_guidanceshow_fabric_options_markupsuggest_patternto_flashcardstweet
fabric prompt acknowledgementfabric prompt acknowledgement📕prompt engineering reference guides

course suggestions

free courses

‣
1. Google x edX: Google AI for Everyone

"A course for anyone to learn what AI is and how it works.”

LINK

‣
2. UC Davis: Big Data, Artificial Intelligence, and Ethics

"This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence.”

LINK

‣
3. UPenn: AI for Business Specialization

"Learn the Fundamentals of AI and Machine Learning. Develop a deployment strategy for incorporating AI, ML, and Big Data into your organization that will take advantage of cutting-edge technologies”

LINK

‣
4. Vanderbilt University: Prompt Engineering for ChatGPT

"This course introduces students to the patterns and approaches for writing effective prompts for large language models.”

LINK

‣
5. IBM: AI Foundations for Everyone Specialization

"Learners will have had hands-on interactions with several AI environments and applications and built and deployed an AI-enabled chatbot on a website – without coding. “

LINK

‣
6. Alison: The Fundamentals of ChatGPT: AI-Language Model

"Explore OpenAI's ChatGPT and learn how to use this chatbot efficiently to boost productivity.”s.

LINK

‣
7. Datacamp: Introduction to ChatGPT

"Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.”

LINK

‣
8. H-EDUCATE: ChatGPT Prompt Engineering Course

You will learn basic terms, prompting, parameters, and skills to master.

LINK

‣
9. Harvard edX: Introduction to Artificial Intelligence with Python

"Learn to use machine learning in Python in this introductory course on artificial intelligence.”.

LINK

‣
10. Harvard edX: Data Science: Machine Learning

“Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.”

LINK

‣
11. Harvard edX: Fundamentals of TinyML

“Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.”

LINK

‣
12. Harvard edX: Applications of TinyML

“You will see examples of TinyML applications, and learn first-hand how to train these models for tiny app

LINK

‣
13. Harvard edX: Deploying TinyML

“Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.”

LINK

‣
14. Microsoft: AI for Beginners

“Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Artificial Intelligence.”

LINK

‣
15. DeepLearning x OpenAI: ChatGPT Prompt Engineering for Developers

“In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.”

LINK

‣
16. DeepLearning x OpenAI: Building Systems with the ChatGPT API

“In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.”

LINK

‣
17. LinkedIn: What is Generative AI?

“In this course, generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.”

LINK

‣
18. LinkedIn: Introduction to Artificial Intelligence

“This course is designed for project managers, product managers, directors, executives, and students starting a career in AI.”

LINK

‣
19. LinkedIn: Streamlining Your Work with Microsoft Bing Chat

“Learn how Bing Chat can perform a wide variety of tasks and help you streamline your entire workflow, from generating ideas and summarizing data to solving common work problems such as planning itineraries, scheduling, and communicating with coworkers.”

LINK

‣
20. Snowflake: Generative AI & LLM School

“This program includes content from Snowflake Summit 2023 for executives and developers to define a vision for the enterprise LLM platform. ”

LINK

‣
21-25 Google Generative AI (5 Free Courses)

LINK

‣
26-30 Google AI Other (5 Free Courses):

Introduction to Generative AI Studio

LINK

Create Image Captioning Models

LINK

Attention Mechanism

LINK

Encoder-Decoder Architecture

LINK

Introduction to Image Generation

LINK

‣
31. MIT: Introduction to Computational Thinking and Data Science

“6.00.2x is an introduction to using computation to understand real-world phenomena.”

LINK

‣
32. MIT: Introduction to Computer Science and Programming Using Python

“An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.”

LINK

‣
33. MIT: Machine Learning with Python: from Linear Models to Deep Learning

“An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.”

LINK

‣
34. Udacity: Artificial Intelligence for Robotics

“Learn how to program all the major systems of a robotic car.”

LINK

‣
35. Udacity: Reinforcement Learning

“Study machine learning at a deeper level and become a participant in the reinforcement learning research community.”

LINK

‣
36. Udacity: Artificial Intelligence for Robotics

“Learn how to program all the major systems of a robotic car.”

LINK

‣
37. Udemy: ChatGPT for Beginners: The Ultimate Use Cases for Everyone

Master ChatGPT to skyrocket your business to the next level and simplify your life.”

LINK

‣
38. Udemy: Phil Ebner’s AI Crash Course

“Learn AI Tools in just 15 minutes. Start using ChatGPT, Midjourney, Google Bard, Adobe Firefly and DALL-E.”

LINK

‣
39. Udemy: Become an AI-Powered Engineer: ChatGPT, Github Copilot

“Take the comprehensive course on ChatGPT, GitHub Copilot, and Copilot Labs to learn how to write code 2x faster.”

LINK

‣
40. Great Learning: ChatGPT for Beginners

“Learn from our experts about Content Generation, Prompt Ideas, Limitations and more.”

LINK

‣
41-50 NVIDEA
‣
41. Accelerate Data Science Workflows with Zero Code Changes

“In this course, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.”

LINK

‣
42. Building A Brain in 10 Minutes

“The notebook explores the biological inspiration for early neural networks.”

LINK

‣
43. Introduction to Physics-informed Machine Learning with Modulus

“Learn how to use NVIDIA Modulus for physics-informed deep learning, and how the Modulus framework integrates with the overall NVIDIA Omniverse platform.”

LINK

‣
44. Getting Started with Deep Learning

“Learn how deep learning works through hands-on exercises in computer vision and natural language processing.”

LINK

‣
45. Getting Started with DOCA Flow

“With DOCA, developers can program the data center infrastructure of tomorrow by creating software-defined, cloud-native, DPU-accelerated services with zero-trust protection to address the increasing performance and security demands of modern data centers.”

LINK

‣
46. Develop, Customize, and Publish in Omniverse With Extensions

“Develop, Customize, and Publish in Omniverse With Extensions”

LINK

‣
47. Generative AI Explained

“In this no-coding course, learn Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field.”

LINK

‣
48. Building RAG Agents with LLMs

“Agents powered by large language models (LLMs) have shown great retrieval capability for using tools, looking at documents, and plan their approaches. This course will show you how to deploy an agent system in practice with the flexibility to scale up your system to meet the demands of users and customers.”

LINK

‣
49. Augment your LLM Using Retrieval Augmented Generation

“In this introductory course, we will provide a high-level overview of Retrieval Augmented Generation and how it improves Generative AI (GenAI).”

LINK

‣
50. Introduction to Robotic Simulations in Isaac Sim

“Learn how to tap into the simulation loop of a 3D engine and initialize experiments with objects, robots, and physics logic using Isaac Sim Core.”

LINK

‣
51-60 Intel
‣
51. Introduction to Machine Learning

This course provides an overview of machine learning fundamentals on modern Intel® architecture.

LINK

‣
52. Deep Learning

This course provides an introduction to deep learning on modern Intel® architecture.

LINK

‣
53. Introduction to AI

This course is for developers, students, or industry professionals from other computer science and engineering fields who are curious about AI.

LINK

‣
54. Natural Language Processing

This course provides an overview of natural language processing (NLP) on modern Intel® architecture.

LINK

‣
55. Deep Learning for Robotics

Learn how to apply machine learning to robotic applications through this course developed in collaboration with the Interactive Robotics Lab at Arizona State University.

LINK

‣
56. AI on the PC

Learn how to use Intel® hardware, software, and solutions for AI on the PC.

LINK

‣
57. AI on the Edge with Computer Vision

This course provides a complete introduction on how to use the Intel® Neural Compute Stick 2 (Intel® NCS2) for low-power deep learning inference on edge devices.

LINK

‣
58. AI from the Data Center to the Edge

Whether you are an experienced data scientist or new to the field, this course takes a hands-on approach to help you understand the data science workflow, use Intel’s AI portfolio of processors and optimized software, and apply them to the challenge you are facing. The course uses an enterprise image classification problem and provides lectures for each stage in the process, accompanied by Jupyter* notebooks that walk you through the implementation.

LINK

‣
59. Time-Series Analysis

This course teaches about time-series analysis and the methods used to predict, process, and recognize sequential data.

LINK

‣
60. Applied Deep Learning with TensorFlow

TensorFlow* is a popular machine learning framework and open source library for dataflow programming.

LINK

paid courses

‣
1. eCornell: AI Strategy: Cornell Certificate Program

“Through the AI Strategy certificate program, you will explore how AI will impact the future of organizations, industries, and society at large.”

LINK

‣
2. eCornell: Marketing AI

“You will discover practical, innovative ways to apply machine learning and AI to the marketing function in order to enhance the customer journey, achieve data-driven decision making, and ultimately impact the success of your marketing initiatives.”

LINK

‣
3. eCornell: Introduction to AI

“You will discover practical, innovative ways to apply machine learning and AI to the marketing function in order to enhance the customer journey, achieve data-driven decision making, and ultimately impact the success of your marketing initiatives.”

LINK

‣
4. eCornell: The Future of AI

“You will peer into the future of AI and explore strategies to preserve human dignity and agency while embracing the benefits of the technology.”

LINK

‣
5. eCornell: Strategic Implementation of AI Systems

“You will peer into the future of AI and explore strategies to preserve human dignity and agency while embracing the benefits of the technology.”

LINK

‣
6. Caltech: AI & Machine Learning Bootcamp

"A course for anyone to learn what AI is and how it works.”

LINK

‣
7. MIT: AI: Implications for Business Strategy

“Gain the knowledge and confidence to support the integration of AI into your organization.”

LINK

‣
8. MIT: AI: Designing and Building AI Products and Services

“If you are a technology professional or an entrepreneur working in the field of artificial intelligence (AI), this program will help you understand design principles and applications of AI across various industries.”

LINK

‣
9. MIT: AI: Making AI Work: Machine Intelligence for Business and Society

“Discover the key technical and societal considerations of AI deployment and acquire a systematic approach for responsible and effective implementation of AI solutions in your organization.”

LINK

‣
10. Northwestern Kellogg: AI Applications for Growth

“This program will stretch your thinking and broaden your perspectives with a practical, behind-the-scenes look at how established companies - as well as start-ups - are putting AI to work to disrupt industries and gain a competitive edge.”

LINK

‣
11. Purdue: Post Graduate Program In AI And Machine Learning

“Boost your career with this AI and ML course, delivered in collaboration with Purdue University and IBM.”

LINK

‣
12. Berkley Hass: Professional Certificate in Machine Learning and Artificial Intelligence

“Gain cutting-edge ML/AI skills and accelerate your career in this 6-month online program.”

LINK

‣
13. Wharton: AI for Decision Making

“Learn how to leverage big data, AI, and machine learning to make better business decisions.”

LINK

‣
14. Wharton: Artificial Intelligence for Business

“In the artificial intelligence course, you’ll learn the fundamentals of Big Data, Artificial Intelligence, and Machine Learning, and how to deploy these technologies to support your organization’s strategy. ”

LINK

‣
15. Duke: AI Foundations for Product Innovation Graduate Certificate

“A 4-course online program in AI and Machine Learning designed for working professionals.”

LINK

‣
16. NVIDIA: Introduction to Transformer-Based Natural Language Processing

“Learn how Transformers are used as the building blocks of modern large language models (LLMs). You’ll then use these models for various NLP tasks, including text classification, named-entity recognition (NER), author attribution, and question answering.”

LINK

‣
17. NVIDIA: Prompt Engineering with LLaMA-2

“Unleash the power of LLaMA-2 with prompt engineering.”

LINK

‣
18. NVIDIA: Generative AI with Diffusion Models

“Take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines, with applications in creative content generation, data augmentation, simulation and planning, anomaly detection, drug discovery, personalized recommendations, and more.”

LINK

‣
19. NVIDIA: Synthetic Data Generation for Training Computer Vision Models

“This course uses a food manufacturing example to demonstrate the power of Omniverse Replicator synthetic data generation to train computer vision models.”

LINK

‣
20. NVIDIA: Accelerating End-to-End Data Science Workflows

“In this course, developers will learn how to build and execute end-to-end GPU accelerated data science workflows that enable them to quickly explore, iterate, and get their work into production. Using the RAPIDS accelerated data science libraries, developers will apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale.”

LINK

prompt based learning

‣
1-25

1. Identify three key benefits of learning AI in today's job market.

2. Outline a 30-day plan to begin your AI education using free resources, including identifying online courses, setting a study schedule, joining AI forums, and finding mentors.

3. Research and summarize the main differences between [online and in-person AI courses.]

4. Describe how AI could transform education in the next decade.

5. List the top five skills you hope to gain from [taking an AI course].

6. Draft a plan for a local AI study group, including defining goals, format, and activities to provide peer support and collaborate on projects.

7. Explore how AI education can be made accessible to underprivileged communities.

8. Reflect on my [personal goals] and how learning AI can help you achieve them.

9. Investigate how [universities] are integrating AI into their curriculums.

10. Design a beginner one-week AI crash course identifying key topics like terminology, machine learning basics, and ethics and recommending starter Python and TensorFlow projects.

11. Summarize a success story of [someone] who changed careers by learning AI.

12. Explain how AI literacy could become a fundamental skill for future generations.

13. Analyze the potential challenges of self-studying AI without formal education.

14. Create a list of the top 10 [AI educational tools] available online.

15. Evaluate the role of [certifications in AI] and how they add value to your resume.

16. Discuss how [AI education] differs from traditional computer science education.

17. Propose a method for keeping up-to-date with [AI trends and updates] after completing a course.

18. Provide a case study of how an AI tutor could personalize instruction for a student learning AI concepts online.

19. Explore how AI is used in educational technology to enhance learning through examples like intelligent tutoring systems, adaptive platforms, chatbots, and other applications.

20. Investigate the possibility of AI mentorship and its potential impact on learning.

21. Assess and compare AI online learning platforms like [Coursera and Udacity] for features, curriculum, instructors, projects, support, and costs to recommend the best for each level.

22. Create a roadmap for [transitioning into an AI career] from a [non-technical] background.

23. Explore the ethical considerations of using [AI in education] and the impact on teachers and students.

24. Identify the potential barriers to accessing quality AI education and propose solutions to overcome them.

25. Write a brief analysis of how [AI courses] can enhance problem-solving and critical thinking skills in various professional fields.

‣
25-50

26. Research the background of AI and how it has improved over time.

27. Explain the difference between AI designed for [narrow tasks] vs [general] intelligence.

28. Consider possible future benefits and risks of [advanced] AI.

29. Learn about algorithms AI uses to make [predictions and recommendations].

30. Understand how [different types of] machine learning models are trained with or without labeled data.

31. Explore basic data preparation like [cleaning] and [normalizing].

32. Examine how to select [the most] important data features for training models.

33. Learn how [various] models like regression and neural networks make predictions from data.

34. Build a [simple] AI app to get hands-on experience.

35. Practice training a model on [sample] data.

36. Discover how [certain] models make predictions or suggestions.

37. Appreciate the need for [unbiased and representative] training data.

38. Define basic terminology for discussing AI concepts.

39. Research public datasets for training [specific types of] AI models.

40. Consider computing resources needed for [training complex] AI [models].

41. Learn techniques for [evaluating and comparing] model performance.

42. Understand model overfitting and underfitting.

43. Explore how neural networks analyze complex data like images.

44. Use data visualization to spot trends and relationships.

45. Discuss responsible and ethical AI development.

46. Learn about AI applications like [computer vision], [natural language processing], forecasting, robotics.

47. Map out the [end-to-end] model-building process.

48. Explore [cloud] platforms for developing AI systems.

49. Appreciate the need to continuously improve models after launch.

50. Identify an area of your life or work where you could apply your new AI skills and knowledge to create positive change.

‣
51-75
  1. Investigate the role of artificial neural networks in AI and how they mimic human brain functions.
  2. Analyze the impact of AI on [specific industry] and identify key areas where AI can bring about significant improvements.
  3. Develop a comparative study of various AI programming languages, including Python, R, and Java, highlighting their strengths and weaknesses for AI development.
  4. Create a guide for beginners on how to interpret and understand AI research papers and articles.
  5. Research the evolution of AI algorithms from simple decision trees to complex deep learning models.
  6. Explore the role of ethics in AI, focusing on issues like privacy, bias, and the future of work in an AI-dominated landscape.
  7. Design a weekly self-learning curriculum that incorporates AI podcasts, webinars, and YouTube channels.
  8. Assess the impact of AI on job automation and the future skills needed to thrive in an AI-driven economy.
  9. Write about the importance of cross-disciplinary knowledge in AI, such as the intersection of AI with psychology, philosophy, and neuroscience.
  10. Investigate the advancements in AI hardware, like GPUs and TPUs, and their significance in training more complex models.
  11. Describe how AI can be used to enhance [personal productivity] tools.
  12. Explore the basic principles of AI ethics and their application in [real-world scenarios].
  13. Identify how AI can assist in [environmental conservation] efforts.
  14. Outline the steps to build a simple AI model to [predict weather patterns].
  15. Research the impact of AI on [customer service] and how it changes user experience.
  16. Discuss the potential of AI in [personal finance management].
  17. Explore how AI influences [content creation] in digital marketing.
  18. Investigate the role of AI in managing [public health data] during crises like pandemics.
  19. Describe the use of AI in [automotive safety systems].
  20. Analyze the impact of AI on [e-commerce] shopping experiences.
  21. Explore how AI is changing the landscape of [education] for teachers and students.
  22. Discuss how AI can aid in [language learning] and overcoming language barriers.
  23. Identify how AI could improve [urban planning and smart cities].
  24. Investigate the role of AI in [agriculture] for crop monitoring and yield prediction.
  25. Explore the potential of AI in [music composition and production].
‣
76-100
  1. Discuss how AI can aid in [mental health] assessments and therapy.
  2. Investigate AI's role in [sports] for performance analysis and injury prevention.
  3. Explore how AI can enhance [home automation] systems.
  4. Analyze the use of AI in [cybersecurity] to detect and prevent threats.
  5. Discuss how AI can assist in [legal research and analysis].
  6. Investigate the role of AI in [disaster response] and management.
  7. Explore AI applications in [fashion design] and trend forecasting.
  8. Discuss how AI can enhance [video game development].
  9. Research how AI is used in [film production], from scriptwriting to post-production.
  10. Explore the use of AI in [healthcare] for disease diagnosis and treatment planning.
  11. Discuss the potential of AI in [personalized learning experiences].
  12. Investigate how AI can optimize [supply chain management].
  13. Explore the role of AI in [energy management] and sustainability.
  14. Discuss how AI can contribute to [art creation and curation].
  15. Explore how AI impacts [journalism] in news gathering and reporting.
  16. Investigate the use of AI in [space exploration] and research.
  17. Discuss the potential of AI in [elderly care] and assisted living.
  18. Explore AI applications in [retail] for personalized shopping experiences.
  19. Research how AI is used in [public transportation systems] for efficiency and safety.
  20. Discuss the role of AI in [cultural heritage preservation].
  21. Explore how AI is reshaping [food industry] practices, from production to distribution.
  22. Investigate AI's impact on [real estate], including property valuation and market analysis.
  23. Discuss the potential of AI in [event planning and management].
  24. Explore AI applications in [waste management] and recycling processes.
  25. Investigate how AI can aid in [community development] and local governance.

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🐐Sunday Nov 16 8pm - AI learning series introduction🖍️Sunday Nov 23 8pm - Prompt engineering🐺Monday Dec 1 8pm - AI agents📐Sunday Dec 7 8pm - AI coding💽Sunday Jan 25 - Working with data👨‍🎨Sunday Feb 1 - Building entrepreneurship🍇Sunday Feb 9 - Raging Against the System: An AI Agent Masterclass in Politics🦴Sunday Feb 15 - Winning the Market💡Sunday Feb 22 - Coming up with business ideas🤳Sunday March 1 - Mastering Social Media🐐Sunday March 15 - Building an agent to teach you anything and some spicey modelling👞Sunday March 22 - Executing an approach to market with AI🪫Sunday 29th March - Energy Crisis Special

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