RAG
Retrieval-augmented generation: the model answers from your company's own documents, fetched at question time.
- retrieval
- embeddings
- citations
Get ready for the AI era in 30 days
BecomeJob-Readyin 30 Days
Choose your target role, solve real workplace problems every day, complete weekly assessments and prepare for interviews with a structured career track.
Every track: 30 days, reviewed work and interview prep.
1–2 hrs a day, in your own time. Start any day.
New course · Early Diwali offer
System design, phone pe.
System design, explained with real examples. Built for interviews.
- 21
- days
- 15 min
- a day
- 5
- days of AI design
₹499₹1,999until 8 Nov
Claim my ₹499 seat
Early access: 9 of 21 lessons are live, the rest added as they're ready.
Courses built by professionals from
Logos identify where our contributors work or have worked. Klymb.ai is not affiliated with or endorsed by these companies.
Your title is the liability. Your domain knowledge is the asset.
The traditional resume describes who you claimed to be in the past. Real-world capability proves what problems you are ready to resolve today.
Is this for you?
Tick what sounds like you.
Be honest. Nobody sees this but you.
Two or more, and we should talk.
In every track
The AI fundamentals your next team will expect.
Whichever role you choose, you learn how modern AI features are built, run and checked, and how to judge an answer before anyone relies on it.
AI agents
Models that plan, call tools and act over several steps, and the ways they go wrong when nobody checks them.
- tools
- planning
- memory
LLMOps
Running LLM features day to day: prompt versions, token cost per answer, latency and monitoring in production.
- cost
- latency
- monitoring
Evals
Test sets and scoring for AI output, by rule, by rubric or by a judge model, so a change can be proven better.
- test sets
- LLM judge
- regression
AI safety
Hallucination, bias, prompt injection and data leaks: what they look like at work and who is accountable.
- hallucination
- injection
- privacy
Guardrails
Checks around the model: input filters, output validation, refusals and human review before anything ships.
- filters
- validation
- human review
LLM evaluation
Six questions to ask of every AI answer.
You score real model output against these, then decide whether it is good enough to ship.
- 01
Correctness
Is the answer factually right?
- 02
Groundedness
Is every claim backed by the source it was given?
- 03
Relevance
Does it answer the question that was asked?
- 04
Completeness
Does it cover everything the question needs?
- 05
Conciseness
Does it say it without padding?
- 06
Safety
Is it free of harm, bias and leaked data?
Why it's time
The work is changing. The evidence is public.
Companies no longer hire for general potential. They recruit specifically to solve immediate execution gaps.
92M
Jobs expected to be displaced globally by 2030, while 170M new roles are created. The shift rewards people who reskill.
56%
Average wage premium for jobs that require AI skills, up from 25% the year before.
84%
Of Indian professionals feel unprepared to find a new job in 2026, as AI reshapes how companies hire.
- 1Choose a trackPick one of five roles. Everything after this is specific to it.
- 2Solve a daily workplace problemOne realistic problem a day, the kind the role actually faces.
- 3Complete the weekly assessmentAfter Days 7, 14, 21 and 28: scored, with feedback.
- 4Build role-specific evidenceYour work becomes a portfolio piece you can walk through.
- 5Practice for interviewsRole-specific questions, frameworks and practice answers.
- 6Prepare for interviewsDays 29 and 30: answer the most-asked questions for your role.
How it works
30 days, 1 problem at a time
Career paths
Five roles. Pick the one you want next.
Each track has its own 30 daily problems, four assessments and two days of interview prep, written for that one role.
- Day 1 open now
This job is changing
QA Engineer, becoming AI Test Architect
Testing, automation, defect analysis, API testing and AI-assisted QA.
- Test design
- Playwright automation
- Defect analysis
30 days · 4 checkpoints · interview prep
Explore this track: QA Engineer - Day 1 open now
This job is changing
L1/L2 Support, becoming Conversational AI Operations Specialist
Troubleshooting, ticket handling, incident response, escalation and customer communication.
- Troubleshooting
- Ticket handling
- Incident response
30 days · 4 checkpoints · interview prep
Explore this track: L1/L2 Support - Day 1 open now
This job is changing
Project Manager, becoming AI Delivery Lead
Planning, requirements, execution, risk management, stakeholder communication and reporting.
- Planning
- Requirements
- Agile and Scrum
30 days · 4 checkpoints · interview prep
Explore this track: Project Manager - Day 1 open now
This job is changing
Junior Developer, becoming AI Engineering Associate
Programming fundamentals, debugging, APIs, Git, frontend/backend basics and code quality.
- JavaScript/TypeScript fundamentals
- Debugging
- REST APIs
30 days · 4 checkpoints · interview prep
Explore this track: Junior Developer - Day 1 open now
This job is changing
Reporting Analyst, becoming Analytics Automation Lead
Excel or spreadsheet analysis, SQL basics, dashboards, data interpretation and business reporting.
- Spreadsheet analysis
- SQL basics
- Dashboards
30 days · 4 checkpoints · interview prep
Explore this track: Reporting Analyst Not sure which track?
Pick the role closest to the work you already do: your experience carries over. See all five side by side.
Compare the tracks
The Klymb family
Two ways to climb. Build in public, or go all in.
app.klymb.ai
Build in public. Get discovered.
A platform where you build real projects and companies see the work, not just your CV.
- Hackathons: weekend builds, judged and archived
- Challenges: scoped problems from real companies
- Cohorts: multi-week programs with mentors
- A recruiter network that hires on evidence
13,000+ people already on the platform
Join on app.klymb.aiklymb.ai · the 30-day course
30 daysGet job-ready in 30 days.
A structured course for one role, with a reviewer checking your work.
- One real workplace problem a day
- 4 graded checkpoints and interview prep
- A portfolio a recruiter can open
- Start any day, in your own time
FAQ
Straight answers.
Everything you need to know before enrolling.
Working professionals and graduates who want to move into, or level up within, one of our five roles: QA Engineer, L1/L2 Support, Project Manager, Junior Developer or Reporting Analyst.
No prior experience in the target role is required, but you should be comfortable using a computer daily and committing 1–2 hours a day. Some tracks recommend basic familiarity with the domain; each track page lists who it is for.
Not after you enroll. Each track has its own 30-day project, assessments and reviewer, so switching mid-cohort would mean starting again. If something has changed for you, write to us and we will talk it through.
You receive one practical workplace problem for your track, work on it, and submit your solution. Each problem builds towards that week's assessment and your final project.
After Days 7, 14, 21 and 28 you complete an assessment based on that week's work. It is scored against a rubric and you receive feedback on what to improve.
Days 29 and 30 are interview prep: you answer the questions most often asked for your role, in writing, using your own portfolio as evidence.
No. Klymb.ai does not guarantee a job, placement or salary. The program is designed to build practical ability, evidence and interview readiness: outcomes depend on you and the job market.
No. There is no advanced program or mastermind to upsell. The track you pick is complete on its own. System Design is a separate course, there only if you want it.
Join the cohort
The next cohort closes before your role does.
Secure your place and build the capability your next company is actively seeking.
Reserve your seat
Pick your track. It takes a minute, and Day 1 opens straight away.
5 career tracks
Start any day · 1–2 hrs a day · Interview prep