BeforeDeputy Manager
AfterLead AI Engineer
§— Agentic AI Course
Product Development
with Agentic AI
Empowering the next generation of AI-powered builders.
Not just a coding course — a complete product-building experience that integrates AI at every stage of the development lifecycle. Start from zero and leave with a deployed product, a portfolio, and a network that compounds for life.
Free · No spam
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10k+
Global Learners
50+
Learning Modules
4
Months Total
8+
Real Projects
01— Who It's For
Built for the about-to-leap.
No Experience
Beginners
No prior coding or AI experience required. Start from absolute zero and build up to shipping real products.
Developers & PMs
Professionals
Developers, product managers, and designers who want to supercharge their skills with Agentic AI.
Build & Ship Fast
Founders
Entrepreneurs and career switchers who want to ship AI-powered products and break into the industry.
02— Outcomes & Transformation
What You Walk Away With After 4 Months.
Not just a certificate. A deployed product, a portfolio, and a network that compounds.
- 01Full-stack product development using modern web & mobile technologies.
- 02Mastery of AI dev tools — GitHub Copilot, Cursor IDE, Claude Code — used in every build.
- 03Building enterprise-grade AI systems: chatbots, agents, and RAG pipelines.
- 04Cloud deployment, security, monitoring, and production-readiness.
- 05Career acceleration: LinkedIn optimization, resume building, and AI-powered job hunting.
Different Journeys, Limitless Futures.
Explore our alumni profiles and see how the program reshaped their career path, role, and trajectory.
BeforeSenior Systems Associate
AfterAI Product Engineer
BeforeAssociate Data Scientist
AfterSenior Data Scientist
BeforeQA Analyst
AfterFull-Stack AI Developer
BeforeProject Coordinator
AfterAI Product Manager
BeforeFrontend Developer
AfterAgentic AI Engineer
03— Curriculum
Four Months. Four Phases. One Deployed Product.
A structured monthly journey, each phase ending in a portfolio-grade deliverable.
Live Builds
Responsive portfolio, interactive JS apps, multi-page landing pages, and a React introduction.
LMS Topics
HTML/CSS fundamentals, ES6+, Git/GitHub, and AI dev-tool setup (Copilot, Cursor).
Portfolio Deliverable
A deployed, responsive React portfolio site.
Live Builds
Full-stack task manager, auth flows, LLM API integration, and end-to-end deployment.
LMS Topics
Advanced React, REST APIs, MongoDB & SQL CRUD, JWT security, and Vercel/Render deploys.
Portfolio Deliverable
A deployed full-stack app with authentication and an LLM integration.
Live Tracks
UI/UX with Figma AI / V0.dev · Voice Agents (Whisper, ElevenLabs) · LinkedIn & interview prep.
LMS Electives
Business, Tech, Finance, Marketing, Healthcare, Legal, and Data Analytics (Python/Power BI).
Portfolio Deliverable
A domain-specialised agent build plus an optimised LinkedIn & resume.
Structure
4-week self-directed build with weekly 1-hr mentor check-ins every Saturday.
Portfolio Deliverable
Fully deployed AI product + GitHub repo + 5-minute live demo. Dual certificate issued.
04— Tools & Tech Stack
Every Tool. In Context.
Taught through real briefs and product builds — never isolated exercises.
Frontend & Backend
HTML5CSS3JavaScript ES6+React.jsNode.jsExpress.jsJWT Auth
HTML5
CSS3
JavaScript ES6+
React.js
Node.js
Express.js
JWT AuthDatabases & Deployment
MongoDBPostgreSQLMySQLVercelNetlifyRenderSupabase
MongoDB
PostgreSQL
MySQL
Vercel
Netlify
Render
SupabaseAI Dev Tools
GitHub CopilotCursor IDEClaude CodeLangChainOpenAI APILangGraph
GitHub Copilot
Cursor IDE
Claude Code
LangChain
OpenAI API
LangGraphDomain Tools
Figma AIV0.devWhisperElevenLabsPython/PandasPower BI
Figma AI
V0.dev
ElevenLabs
Python/Pandas05— Faculty & Mentors
Learn From Builders, Not Lecturers.
Industry practitioners who've shipped products and joined the companies you're targeting.
Shubham Lal
Developer at Microsoft · Founder, AI LINC
Aided 80+ Ed-Techs in growth; TEDx and keynote speaker at 800+ events; mentor and trainer to 50,000+ learners.
LinkedIn Profile
Yamini Bandi
SDE-II & ML Engineer · Ex-Amazon
Built scalable web applications and ML solutions at Amazon; mentored 900+ aspiring software engineers.
LinkedIn Profile
Divyansh Dubey
Gen AI Expert & ML Engineer · Ex-Google
Built AI-powered applications at scale at Google; mentor for AI, Prompt Engineering & career growth.
LinkedIn Profile06— Graduate Testimonials
Real people. Real products. Real outcomes.
“I went from knowing nothing about coding to shipping a full AI-powered SaaS product in 4 months at Kayalas Academy. The live build sessions are what made the difference — watching it done in real time changed everything.”
“As a non-tech founder I always relied on developers. After Month 2 at Kayalas Academy, I was building my own MVP. The Agentic AI curriculum is genuinely cutting-edge — I’ve used it to automate half my business.”
“I switched from a non-tech sales role. The structured monthly phases meant I always knew what to build next, and the internship gave me a real product to show in interviews.”
“Already a developer, but agents and RAG were a black box for me. This program made them concrete. I now ship AI features at work that used to take my team weeks.”
“The mentor office hours and #build-in-public community kept me accountable. I graduated with a deployed product and a portfolio that actually got recruiters replying.”
“The dual certification and the hands-on builds gave me the confidence to apply for AI roles I never thought I’d qualify for. Landed an offer within two months of finishing.”
07— Community & Support
You never build alone.
#build-in-public
Share screenshots and live demos every week. Celebrate progress, not just completion.
Mentor Office Hours
Asynchronous text support on Tuesdays and Thursdays, with a response time under 24 hours.
Monthly Hackathons
48-hour team builds and group discussions — winners earn badges and fast-track internship opportunities.
Guest Speakers
Monthly live Q&A with active AI engineers, founders, and product leaders.
08— Certification & Internship
Credentials & experience.
Gain industry-recognized credentials and real-world experience.
Powered by Industry Experts — learn directly from professionals working in top tech companies and real product environments.
01 / 03
Credential 01Course Completion Certificate
Earn an official certification upon successfully completing the 4-month program.
Kayala's Tech AcademyIndustry-recognized
02 / 03
Credential 02Internship Certificate
Validate your guided internship with a deployed, production-grade AI product.
Kayala's Tech AcademyIndustry-recognized
03 / 03
Credential 03WES-Recognised Accreditation
Equivalent to a 1-year Executive Diploma in Machine Learning & AI — recognised nationally and internationally.
Kayala's Tech AcademyIndustry-recognized
Swipe01 / 03
09— Pricing & Investment
Complete 4-Month Program · 2-payment plan available
₹70,000 +GST
Comprehensive hands-on training & mentorship — pay 50% upfront and the remaining 50% after placement.
- All live weekend sessions (96+ hours)
- 1-month guided internship & MAANG mentor support
- Dual certification & GitHub portfolio setup
- Career acceleration (resume, LinkedIn, interviews)
10— FAQs
Still have questions?
No. The program is built to take absolute beginners from zero to a deployed product. Month 1 starts with fundamentals, so prior coding or AI experience is not required.
Every live session is recorded and posted to the LMS, and the supporting concepts are covered in self-paced video lessons. You can also raise anything you missed during mentor office hours.
The 2-payment plan lets you pay 50% upfront and the remaining 50% after placement. The exact terms are documented in your enrolment agreement before you pay anything.
Yes. The weekly rhythm is designed around live weekend sessions plus 5–6 hours of self-paced work, totalling roughly 11–16 hours/week — manageable alongside a full-time job.
You receive a course-completion certificate plus a separate internship certificate, reflecting both the structured curriculum and the guided, shipped internship product.
Yes. Month 3 includes career readiness — LinkedIn optimisation, resume building, mock interviews — and you get access to our hiring network and placement support.
Yes. Our refund policy is published on the site and shared in your enrolment agreement. Reach out before enrolling and we’ll walk you through the specifics.
Plan for about 11–16 hours per week: ~6 hours of live weekend sessions plus 5–6 hours of LMS lessons, labs, and assignments through the week.
11— Final Call
Your AI Career Starts Here.
Applications Close July 8. Cohorts are intimate by design — secure your seat before applications close.
Free · No spam
Get Course Details on WhatsApp
Get the syllabus, projects, tools, and fee details sent straight to you.