1Week 1
Sprint 1: Product, Auth, and Data Foundation
Frame the SaaS problem, model users and roles, and build a secure Supabase-backed foundation.
4 lessons1 assignmentsBuild toward your case
Internship Program / 8 weeks / 100% online
Full Stack AI Engineer Career Accelerator
Build practical experience toward AI Automation Specialist.
Build, ship, and defend production SaaS with AI, payments, auth, storage, and deployment workflows.
8 weeks
accelerator path
intermediate
recommended level
3
execution sprints
What you will finish with
A complete marketing case study, built one deliverable at a time.
The work is based on a public, personal, or clearly hypothetical scenario. Results and client relationships are never implied.
What you'll become
Move toward AI Automation Specialist outcomes with a clearer professional identity.
Build the role skills, practical projects, and proof needed to explain your work.
1
AI Automation Specialist
Build the language, workflows, projects, and proof that make this role easier to explain and pursue.
2
AI Automation Specialist
Build the language, workflows, projects, and proof that make this role easier to explain and pursue.
3
Career-ready Digital Professional
Build the language, workflows, projects, and proof that make this role easier to explain and pursue.
Skills you'll develop
- Ship a production-ready Next.js and Supabase SaaS project
- Implement secure auth, role routing, RLS-aware APIs, and protected files
- Integrate Razorpay test payments and webhook-ready enrollment activation
- Publish a portfolio case study with architecture, tradeoffs, and demo evidence
Tools you'll master
- Next.js
- TypeScript
- Supabase
- Tailwind CSS
- Razorpay
- Cloudinary
- Resend
- Vercel
Readiness habits
- Comfortable with JavaScript or TypeScript basics
- Basic React knowledge
- Willingness to build and submit weekly proof-of-work
Career roadmap
A clear path from learning to proof.
Follow a focused sequence of milestones and practical work designed around AI Automation Specialist.
8weeks, at your pace
8short text lessons
3practical assignments
2Week 2
Sprint 2: Payments, Uploads, and Protected Operations
Connect monetization and file workflows with server-side verification and protected API routes.
2 lessons1 assignmentsBuild toward your case
3Week 3
Sprint 3: Review, Certification, and Production Launch
Run review workflows, harden dashboards, and prepare certificate-ready launch evidence.
2 lessons1 assignmentsPortfolio presentation
Curriculum preview
See what you’ll work on each week.
Read each concise lesson, use its inline templates, then apply the idea in a weekly assignment.
3 weekly sprintsLessons + assignments
Explore enrollment 01 / Week 1
Sprint 1: Product, Auth, and Data Foundation
Frame the SaaS problem, model users and roles, and build a secure Supabase-backed foundation.
4 lessons / 1 assignments
02 / Week 2
Sprint 2: Payments, Uploads, and Protected Operations
Connect monetization and file workflows with server-side verification and protected API routes.
2 lessons / 1 assignments
03 / Week 3
Sprint 3: Review, Certification, and Production Launch
Run review workflows, harden dashboards, and prepare certificate-ready launch evidence.
2 lessons / 1 assignments
Projects and portfolio
Build proof that shows how you think and execute.
Build practical deliverables and a capstone project you can use to explain your work.
AI Automation Specialist portfolio case study
Create a concrete artifact that can be discussed in interviews, portfolio reviews, or career conversations.
AI-assisted workflow automation
Create a concrete artifact that can be discussed in interviews, portfolio reviews, or career conversations.
Business-ready capstone deliverable
Create a concrete artifact that can be discussed in interviews, portfolio reviews, or career conversations.
Interview-ready proof-of-work presentation
Create a concrete artifact that can be discussed in interviews, portfolio reviews, or career conversations.
Tools and platforms covered
Practice with the systems behind modern role execution.
Tools are taught as part of workflows, deliverables, and decision-making rather than as disconnected software demos.
Next.js
TypeScript
Supabase
Tailwind CSS
Razorpay
Cloudinary
Resend
Vercel
Internship-style activities
Experience professional rhythm before the job.
The program simulates the operating loop of briefs, deadlines, artifacts, review, revision, and communication.
Sprint briefs
Understand the task, constraints, expected output, and quality bar.
Submission cycles
Turn work in, track status, and respond to review expectations.
Iteration practice
Improve artifacts until they become clearer, sharper, and portfolio-worthy.
Included resources
Everything around the lessons is designed to convert learning into proof.
You get resources, templates, assignments, and certificate guidance as part of a structured learner journey.
Lesson templates
Frameworks and practice templates included in the lessons.
Research and planning
Use public sources and a document editor or spreadsheet.
Portfolio assignments
Required weekly work that builds toward the final case study.
Certificate
Completion requirements and verification information are shown before enrollment.
Certificate information
Complete the required lessons and assignments to become eligible for a TechLearn India program certificate with a verification pathway.
Required lessons and assignments completed
Program-linked certificate eligibility
Certificate verification pathway
Career readiness framework
The program supports clearer role direction, proof-of-work confidence, and better career storytelling.
Role clarity and opportunity mapping
Portfolio and project storytelling
Portfolio presentation and reflection
Certificate verification pathway
Enrollment
Enter the accelerator path.
Enrollment unlocks the program workspace, sprint roadmap, submissions, review flow, progress tracking, and certificate pathway.
Capability
TechLearn
Generic course
Weekly execution sprints
Mentor-reviewed portfolio work
Role-specific deliverables
Deadline-driven accountability
Certificate verification
Professional transformation system
Program investment
₹4,999
Includes the structured accelerator journey, role-focused roadmap, portfolio deliverables, progress tracking, and certificate eligibility.
8-week accelerator
Open enrollment access
AI Automation Specialist readiness pathway
Secure payment and access information
Secure Razorpay checkout
UPI, cards, wallets, net banking
Instant access after successful payment
Payment support within 24-48 business hours
Secure checkout via Razorpay. After payment verification, your student dashboard unlocks automatically.
Program details
Know what is included before you enroll.
What jobs will this program prepare me for?
This program is designed around AI Automation Specialist responsibilities and adjacent roles such as AI Automation Specialist and AI Automation Specialist.
Is this only a course?
No. It is structured like a career accelerator with sprints, submissions, practical resources, progress tracking, and certificate eligibility.
Do I get instant access?
Yes. After successful payment verification, your student dashboard and program workspace unlock automatically.
Which payment methods are supported?
Razorpay supports UPI, cards, wallets, and net banking. UPI confirmations can occasionally take a few minutes.
Trust section
Built for secure enrollment and trusted learning proof.
TechLearn India provides secure checkout, program access after payment verification, and a certificate verification pathway for eligible completers.
Secure payment and access information
Secure Razorpay checkout
UPI, cards, wallets, net banking
Instant access after successful payment
Payment support within 24-48 business hours
UPI confirmations can occasionally take a few minutes. If payment is debited, your pending page will update after Razorpay confirms the transaction.
Who is TechLearn India for?
It is for students and early professionals who want role-ready proof, not passive course completion. If you can commit to execution, reviews, and iteration, it is built for you.
How is this different from normal online courses?
Normal courses optimize for content consumption. TechLearn optimizes for professional transformation through sprints, submissions, feedback, and portfolio evidence.
Is mentor support included?
Mentor review is included in cohort and intensive plans. Open tracks include structured rubrics and upgrade paths for review support.
How much time do I need?
Most learners should plan for 6 to 10 focused hours per week, depending on the program and depth of portfolio work.
Ready to become a AI Automation Specialist?
Join the accelerator, unlock the LMS workspace, and start building role-ready proof of execution.