8–12 slides
Screenshots + speaker notes. Exported as one PDF.
AI 101. Automate one step of your job.
Map a workflow from your own job, automate a step of it, and prove what the automation saved.
Self-paced · Free · No application
FoundationOpen now
Five modules and a capstone
Experiment with agents, rethink your work, prioritize what to automate, pick the right approach, and communicate the impact.
- 51–57 hours
- 30–60 days
- No coding required
By the end of this course, you will be able to:
- Build AI agents
- Agents that save you at least an hour per workday.
- Identify what to automate
- The tasks worth handing to AI, and the ones that are not.
- Communicate impact
- Compare what AI produced to what a person would have, and show stakeholders the gain.
Self-paced learning, designed for the real world
Each module includes hands-on exercises that reduce your workload. Move through the material at a pace that fits your needs.
Module 01
Experiment with AI Agents
- Lessons
- 3
- Exercises
- 4
- Hours total
- ~7
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.
What you'll learn
Leverage a few basic AI agents to complete common work tasks
Test and troubleshoot agents to ensure they perform as intended
Module 02
Rethink Your Work
- Lessons
- 3
- Exercises
- 5
- Hours total
- ~10.5
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.
What you'll learn
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
Module 03
Prioritize What to Automate
- Lessons
- 3
- Exercises
- 3
- Hours total
- ~8
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.
What you'll learn
Measure the impact of automation
Prioritize what to automate
Quickly test your assumptions
Module 04
Pick the Right Approach
- Lessons
- 2
- Exercises
- 2
- Hours total
- ~7.5
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.
What you'll learn
Automate the same work with multiple approaches
Choose the best approach to automate work
Module 05
Communicate Impact
- Lesson
- 1
- Exercise
- 1
- Hours total
- ~5
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.
What you'll learn
Communicate measurable gains to stakeholders
Capstone project
Reduce Your Workload
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.
1h/day
Your target: time back for better work.
A working automation
Your workflow map, Zaps and agents.
Real results
Quality, speed and cost from at least 3 representative tasks.
Show the value
Projected annual value. Security and ethics considered.
Pick a pace that fits your week
AI 101 is self-paced. Here is what each plan asks of a week.
30
days
Heads-down. Best if you can protect evenings and a weekend block.
Hours per week
- AI 101
- 12–13 hrs
60
days
The pace most learners pick. Fits either side of a full-time job.
Hours per week
- AI 101
- 6–7 hrs
After AI 101, pick a track
Rebuild a workflow a team runs every day as an agentic one, with the proof, governance and rollout plan stakeholders need to greenlight it. No engineering background required.
64–70 hours30–60 days
Start Agentic Specialist
Put an agentic UI on an internal system, with the scoped access, testing and deployment guardrails that make it safe to run. Assumes a software-developer base.
72–84 hours30–90 days
Start Agentic Engineer
From learning to earning
Some learners use this where they already work. For anyone who wants the next job, the path is three steps.
Complete a specialized track and submit your capstone.
You enter LaunchCode's candidate pool.
We match you with employers rebuilding their workflows.
Placement depends on employer demand and on the work you produce. Cost will never be the reason you do not get there.
500+ hiring partners
Hire Human is an initiative of LaunchCode, the nonprofit that has spent more than a decade placing people into technical roles at companies that do not hire on a hunch. The same network hires from these tracks, and we are placing graduates weekly.
Why it costs you nothing
LaunchCode is a 501(c)(3) nonprofit, built to get people into technology careers without asking them to pay for the privilege. Employers pay us when they hire, and that is what funds the training. You never pay us to learn, and you never pay us to be matched with an employer.
No tuition
Not now, not at the end.
No deposit
Nothing to put down to hold a seat.
No income share
Nothing taken from your pay, ever.
Sponsored by
Start today. Finish with something you built.
Self-paced, open now, and free for good.
Questions before you start? Email enrollment.hirehuman@launchcode.org.
What happens next
Today
A confirmation email with your course login.
Your first week
You finish your first lesson, its quiz, and your first hands-on lab.
When you finish your course
A capstone you keep, and a completion certificate.
What people ask before they enroll
Do I need a degree or a coding background?
No degree for any of them. AI 101 and Agentic Specialist assume no coding at all. Agentic Engineer expects real developer experience. You also need to be 18 or older.
Agentic Specialist curriculum →Agentic Engineer curriculum →
Can I do these courses if I am not looking for a new job?
Yes. Plenty of people take these to automate work at the job they already have. You decide whether you want placement, and nothing happens unless you ask for it.
Can I skip AI 101?
Yes. The placement quiz tells you whether AI 101 would mostly be review for you. It is a recommendation, not a gate, so you can enroll in a specialized track either way. It takes about five minutes.
How long does it take?
AI 101 is 51 to 57 hours, Agentic Specialist 64 to 70, and Agentic Engineer 72 to 84. You choose whether that lands across 30 days or 60, and Agentic Engineer adds a 90-day plan. Every course is self-paced, so you can stretch the calendar.
Is it really free?
Yes, and there is no upsell at the end. LaunchCode is a 501(c)(3) nonprofit, so we are not selling you a course. Employers pay us when they hire the people we train, and that pays for the courses.
Will I get a job?
If you want placement, finishing a specialized track puts you in LaunchCode's candidate pool, where we match you with employers at no cost. We place graduates weekly. The hiring decision is always the employer's.
What do graduates earn?
We do not have that figure yet. We will publish one for these tracks once enough placements are behind it.
Is there a certificate?
You get a completion certificate, but it is not an accredited degree. The capstone is what proves you can do the work.
Here to hire? See how teams hire from these tracks.