Classes start March 15
Using AI-infused tooling feels a bit like getting access to a computer in the 80s—magic. AI 101 demystifies that magic. By the end of this course, you will be able to:
Build AI agents that save you at least 1 hour per workday.
Identify tasks worth automating with AI.
Compare the outcomes of AI to humans and communicate gains to stakeholders.
Each module includes hands-on exercises that reduce your workload. Move through the material at a pace that fits your needs.
Watch AI agents work their magic on real tasks. You'll run a few of them, see them in action, and troubleshoot along the way. By the end, you'll begin to understand where you can start immediately saving time in your work.
Leverage a few basic AI agents to complete common work tasks
Test and troubleshoot agents to ensure they perform as intended
Pick a workflow from your job (or the job you are working toward) and map out each step and its associated tasks. Learn how the AI building blocks fit into real work. You will identify decision-heavy steps that slow you down, and then automate one of those steps with an agent.
Map workflows in your own job
Understand the basic building blocks of AI-assisted automation
Apply agents to a workflow step within your own work context
Not every task or workflow step is worth automating. Learn to spot the high-impact opportunities and test them fast. You'll measure which automations actually save you time, prioritize your best options, and validate your ideas before going all-in.
Measure the impact of automation
Prioritize what to automate
Quickly test your assumptions
There's more than one way to automate a given task, workflow step, or workflow. You'll try different approaches (platforms, tools, and methods) on the same work to see what actually performs best. By the end, you'll know how to pick the approach that best fits the work.
Automate the same work with multiple approaches
Choose the best approach to automate work
Track how much time and money your AI agents actually save, and measure the quality of their work. Then package those numbers into a business case that shows your boss (or future employer) the value you're creating.
Communicate measurable gains to stakeholders
Using everything you've learned, take a substantial workflow from your job (or the job you are working toward) and redesign it to save at least 1 hour per day. Prioritize which workflow steps to automate, test different approaches, build your solution, and measure the results. Then present your business case, showing that using AI was worth it.
Continue your journey with specialized tracks designed to fast-track your career in AI-powered roles.
Cross-functional specialists who translate AI capabilities into cost savings by reducing human workload. They identify automation opportunities and deliver measurable results.
Find high-value automation opportunities
Design AI workflows with clear handoffs to engineering when needed
Create prompts, templates, and runbooks
Set human review points and safeguards
Prove impact with before/after metrics
Engineering-side experts who unblock and scale AI adoption by integrating AI into core systems safely. They build secure data access and reliable integrations so AI can run in production.
Integrate AI into APIs and systems
Securely expose business data to agents
Ensure secure access controls and audit logging
Build testing and deployment guardrails
Unblock adoption across teams safely
World-class companies hire from LaunchCode. We're now building an AI-ready talent pipeline to meet their needs.
LaunchCode is a 501(c)(3) nonprofit that provides free education and free job placement to hungry talent—always at no cost to the learner.
Join the waitlist! Enrollment opens February 2, and classes start March 15. Submit the form below to reserve your seat—we’ll be in touch on February 2.