An academy
for the AI era.

Make the move into AI without quitting your job. Builders leave with a deployed portfolio project in four to six weeks. Consumers ship one AI workflow into the role they already have — in 30 days.

Free · live session · no card, no obligation

4.9
cohort rating · 5,000+ alumni since 2023
Mentor · pinnedWorking operator
Week 1 check-in — what you finished, what's next, any blocker. We unblock fast here.
★ 34↵ 18
Nainika P.Cohort 05 · Builders
Signed my offer — joining as an AI Engineer. The portfolio project did the talking.
♥ 63↵ 27
Riya A.Cohort 06 · Consumers
Monthly close rebuilt — five days down to an afternoon on the first dry run.
♥ 41↵ 12
Aayush S.Cohort 07 · Builders
RAG pipeline shipped this week — grounding and citations finally clicking. Anyone want to stress-test it?
★ 22↵ 9
Dev M.Cohort 07 · Consumers
Anyone in IT ops want to pair on a ticket-triage agent this weekend? Happy to share my n8n build.
✋ 16↵ 8
Rohit M NaikSDE Intern · California Burrito
The courses, project discussions, team meetings and certificates were valuable — the project discussions gave useful real exposure toward the job I landed.
♥ 29↵ 11
Shivani ChaudharyCandidate feedback
Course content was well-structured and practical, especially Custom GPT building and Gemini Gems prompt engineering — real-world use cases made the concepts stick.
★ 24↵ 7
ChetanAI Engineering Full Stack Development
Great experience with the AI Engineering Full Stack Development course — well structured, with hands-on practice and real-time examples throughout.
♥ 19↵ 6
Nishika H.Full-Stack Internship
Practical exposure to full-stack web development — HTML, CSS, JavaScript, React, Node.js and APIs. Strengthened my problem-solving, debugging and testing skills.
♥ 21↵ 8
Abhishek SharmaPrompt Engineering & GenAI
Completed Prompt Engineering, Generative AI, ChatGPT and AI Tools — practical, well-structured and easy to understand. Highly recommend for anyone upskilling in AI.
★ 17↵ 5
Harshita Gogia34 courses completed
Well-structured, wide range of technical concepts, and a good balance of theory and hands-on learning — completing all 34 courses improved my real-world confidence.
♥ 33↵ 14
5,000+
Alumni across both pillars
200,000hrs
Taught to students
10,000hrs
Corporate training delivered
2023
Founded · Atlanta

In the last three years, work went from
"this AI thing is kinda interesting"
to adapt, ship, or fall behind.

You follow every launch. Bookmark every thread. Watch every demo.
A cohort turns all of that into one thing shipped.

0 in 10

alumni land or advance a role within months of finishing their cohort

0%

advanced their career: new role, promotion, or workflows shipped at work

0+

cohorts run since 2023, small by design: 24 Builders or 20 Consumers

Where our alumni work

Infosys
TCS
Wipro
Accenture
Deloitte
Flipkart
Razorpay
HCL
HDFC Bank
Cognizant
Zomato
Swiggy
PhonePe
Tech Mahindra

Built with the platforms you'll ship on

Anthropic
Microsoft
Zoho
n8n
CrewAI

Which of these is you?

Start from the problem in front of you.

Six people, six starting points. Each one maps to a track. Find yours and follow it.

Builders · 6 weeks

AI Engineer

You walk away with
A deployed portfolio project

Architect production-grade AI — RAG pipelines, multi-agent workflows, evals and deployment. You leave with a project on real data and a placement pathway.

Where do I start?

Two pillars to land the
work that's growing fastest.

Don't stand on the sidelines while the work changes — move with it. Pick the path that matches the work in front of you. Cohorts stay small — and the two pillars never mix.

4 weeks · no coding required
No-Code Agent Engineers
Agents and automations built visually — prompt engineering, workflow design and process automation.
Entry · AI Foundation + Career Assessment
You shipA production agent
6 weeks · Python required
Pro-Code Agent Engineers
Multi-agent systems in code — LangChain, CrewAI, LangGraph and MCP, hardened with evals.
Entry · Python Assessment
You shipA deployed agent system
6 weeks · full-stack required
AI Engineer
End-to-end AI products — RAG, vector databases and LLM apps deployed to production.
Entry · Full Stack Assessment
You shipAn LLM product, live
6 weeks · Python required
Machine Learning Engineers
Models that reach production — training, evaluation, serving and MLOps end to end.
Entry · Python Assessment
You shipAn end-to-end ML system
No experience required
Full-Stack Foundation
Build, code and deploy anywhere — HTML, CSS, JavaScript, React, Node.js and MongoDB.
Entry · No prior background
You shipA deployed web app
No experience required
Python, Data Structures & Maths
Python, NumPy, pandas and the core maths behind AI — the on-ramp into Pro-Code or ML Engineering.
Entry · No prior background
You shipData-driven scripts, ready for ML
Consumers cohort · 30 days
AI Adoption & Workflows
Rebuild one workflow your team runs weekly with AI — inside the tools you already use.
You shipWorkflow in prod
Consumers cohort · 30 days
AI for Financial Operations
Reconciliation, reporting and the monthly close — rebuilt and measured against your baseline.
You shipClose on autopilot
Consumers cohort · 30 days
AI for Marketing
Briefs, drafts, repurposing and reporting — one marketing workflow rebuilt end to end.
You shipContent engine live
Consumers cohort · 30 days
AI for People & L&D
Content, assessment and enablement workflows your team actually adopts.
You shipTeam-wide rollout
Consumers cohort · 30 days
AI for IT & Operations
Ticket triage, lead sorting and process automation embedded where work happens.
You shipHours saved weekly

What you learn to ship

RAG Chatbots
Multi-Agent Systems
Voice Assistants
Workflow Automation
Image Pipelines
Internal Tools
Content Engines
ML Systems

What does the journey look like?

Your cohort, week by week.

One simple rhythm, repeated every week until you ship.

01
Foundation
Learn and understand the theory behind what you're about to build.
02
Hands On
Practice and build what you just learned in theory, with a mentor nearby.
03
Assignment
Build confidence — apply it independently and get reviewed.
04
Walk Out With Proof
Present a working demo to mentors and partners — not a certificate.
Outcomes, not certificates
One cohort. One thing shipped.

What changes for me?

Here's your profile, before and after.

Flip between the two. The same person, one cohort apart — this is what working operators help you build.

Priya M.
Backend Developer · CloudSync
Education

B.S. in Computer Science

Experience

Backend Developer

REST APIs and CI/CD for internal tooling.

Hard skills

Python · SQL · Docker · REST

Before Tayana
Priya M.
AI Engineer · product startup
Portfolio

Q&A chatbot on private data

A context-aware assistant using vector search + LLMs.

What she shipped

A multi-agent workflow handling a real business intent, hardened with evals.

Hard skills

RAG · Agents · Evals · MCP · Deployment

After Tayana

Who do I learn from?

Learn from working operators.

Every mentor ships AI for a living. They review your project, raise the bar, and walk alongside you — by pillar.

Aayush Saxena — AI Automation Engineer
Anubhav Maithil — Fullstack AI Engineer
Yash Shrivastava — AI Expert | Tech Lead
Durgesh Prajapat — Full Stack Developer
Deepesh Jain — Low Code Expert
Priya Shrivastava — AI Automation Engineer

What do I walk away with?

Proof of work, not a certificate.

Tayana Academy certificate of achievement
A real project, deployed
Builders leave with a portfolio piece on real data. Consumers leave with a workflow live in production.
A placement pathway
Introductions to the enterprise partners hiring for AI roles right now.
The alumni network, for life
5,000+ alumni across both pillars — what's shipping, who's hiring, what works.
Measured outcomes
Consumers prove the ROI — hours saved, error rate, throughput — against a real baseline.

Do I get a clear path?

From masterclass to shipped.

A cohort is short and dense by design. Here's how the six-week AI Engineer track lays out. No-Code runs the same rhythm across four weeks.

AI Engineer · Builders track

Project-first. Every week ends with something shipped.

PhaseW1W2W3W4W5W6
Foundations & frontier
RAG on private data
Agents & tool use
Evals & red-teaming
Deploy & observe
Demo day

*Consumers run a 30-day track on the same project-first rhythm.

What if I hit a wall?

You don't go it alone on Discord.

Our mentors are there to help and guide you, always.

A working operator reviews your project every week — not a TA reading from a script. They raise the bar, unblock you fast, and have shipped what you're building.

Tayana Academy Discord server

Can I start without a tech background?

Two ways in, neither needs code.

It depends what you want next. Changing career into AI? No-Code Agent Engineers is a Builders track — four weeks, no coding, and you leave with a production agent and a placement pathway. Staying in the role you have? The Consumers pillar rebuilds one workflow you already run, in 30 days. People take both routes from finance, ops, L&D and marketing, at companies like:

InfosysDeloitteHDFC BankAccentureFlipkart

Not sure where to START?

Unsure which pillar to pursue? Take a 5-minute fit check to find the path that matches the work in front of you.

Find your pillar
0%
of alumni recommend
Tayana Academy
They did it.So can you.

See how people like you made the move — without quitting the job they already have.

AS
SM
KV
NB
PR
RA
DM
NP