Browse our complete library of 19 AI tutorials covering prompt engineering, AI careers, automation, and more.
This tutorial guides you through running the open source GPT-OSS-20B language model locally on consumer hardware, exploring setup, usage, and customization for various tasks.
Difficulty: IntermediateLearn to create and customize AI-driven presentations using conversational prompts, modular design, and data integration with tools like PageOn AI 2.0 and Canva Magic Design.
Difficulty: BeginnerExplore AI's transformative impact over the next decade via conversational prompts, scenario analysis, and reflection exercises across beginner to advanced levels.
Difficulty: BeginnerExplore Vinod Khosla's prediction that AI could automate 80% of jobs by 2030. Learn to analyze data, validate claims, and develop strategies to adapt to an AI-driven job market through hands-on AI-driven research.
Difficulty: IntermediateThis tutorial explores AI-driven job automation risks and economic effects via interactive AI conversations, enabling personalized career planning and policy formulation.
Difficulty: IntermediateThis beginner-friendly tutorial introduces core AI agent concepts using interactive prompts and a practical Python math helper agent example, focusing on reasoning, planning, memory, and tool integration.
Difficulty: BeginnerLearn to mitigate AI coding issues such as hallucinations, error loops, and poor context awareness by creating structured context documents and leveraging Cursor's iterative conversational AI features.
Difficulty: IntermediateExplore Bill Gates' views on AI's impact on careers and learn how to prepare for an AI-driven future using conversational AI in this interactive, progressive tutorial.
Difficulty: BeginnerExplore how Norges Bank Investment Management leveraged Claude AI to boost productivity by 20%, detect investment biases, enforce mandatory AI adoption, and automate workflows, with lessons for personal and team productivity.
Difficulty: IntermediateLearn to apply generative AI models like Transformers and Q-learning to optimize large warehouse robot fleets, reduce travel time, and analyze workforce impacts in AI-driven logistics.
Difficulty: Intermediate