ZENOCTA SOLUTIONS · TRAINING PROGRAM
A 3-month virtual technology training and project program for graduates, combining software development, manual testing, Generative AI, Agentic AI and practical AI-assisted engineering workflows.
PROGRAM OVERVIEW
A Structured Path Into Software Careers
The Zenocta AI-Powered Development & Testing Training Program is a structured, 3-month virtual program designed for graduates from any academic background — no prior professional or coding experience required. Candidates choose a track in Flutter app development or Framer website development, building core software development and software testing fundamentals before progressively working with Generative AI and Agentic AI tools to accelerate real engineering work. Through practical assignments, mentor-guided projects and supervised real-world exposure, candidates build the skills and workflows expected in a professional software environment.
The program reflects the same practical engineering standards behind Zenocta’s software development services.
WHY THIS PROGRAM
Why the Zenocta Training Program
01
Development + Testing, Together
Candidates learn to build software and test it properly — not one without the other.
02
AI-First, Fundamentals-First
AI tools are introduced only after core development and testing concepts are understood.
03
Real Project Exposure
Assignments lead into supervised, real-world project work — not isolated exercises.
04
Small Mentor Groups
Candidates work in small groups with direct mentor guidance throughout the program.
05
A Structured 3-Month Path
A clear, sequential curriculum — from fundamentals to applied, AI-assisted engineering.
06
A Possible Pathway to Employment
High performers may be considered for roles at Zenocta based on performance and business need.
TECHNOLOGY TRACKS
Choose Your Technology Track
Candidates choose one of two current technology tracks, each combining development, testing and AI-assisted workflows specific to that stack.
Flutter Development + Testing
Framer Website Development + Testing
TRACK A
Flutter Development + Testing
Build and test cross-platform mobile applications from the ground up.
Development
Dart fundamentals and Flutter architecture
Widgets, state management and navigation
API integration and app logic
Building functional, structured mobile applications
Testing
Manual testing fundamentals for mobile apps
Unit, widget and integration testing in Flutter
Bug identification, reporting and retesting
Test case design and coverage planning
AI
Using Generative AI to assist coding and debugging
Using Agentic AI to modify code and run tests
AI-assisted test case generation
Reviewing and validating AI-generated code and tests
More Technology Tracks Coming Soon
Zenocta plans to expand the program to additional web technologies, Data Science and other emerging technology areas as the program evolves.
HOW WE TEACH
Development and Testing, Taught Together
At Zenocta, development and testing are taught together — not as separate disciplines. A developer who understands how their work is tested writes more reliable code. A tester who understands how applications are built asks sharper, more useful questions.
FLUTTER TRACK
Build
→
Test
→
Debug
→
Improve
Candidates build a feature, test it manually and through automated checks, debug what fails, and refine the implementation.
FRAMER TRACK
Design
→
Build
→
Test
→
Validate
→
Improve
Candidates design a section, build it, test it across devices and browsers, validate it against requirements, and improve it based on findings.
TRAINING PHILOSOPHY
Learn → Practice → Build → Test → Improve → Deliver
A core differentiator of the Zenocta program: candidates do not start by using AI. They start by understanding the work AI would otherwise be asked to do — then learn to direct AI with judgment.
STEP 1
Understand fundamentals
Core concepts before any tooling.
STEP 2
Build manually
Write and structure code without AI assistance.
STEP 3
Test manually
Learn to verify software the way a tester would.
STEP 4
Introduce Generative AI
Use AI to support ideas, code and content.
STEP 5
Introduce Agentic AI
Work with AI that can act across multi-step tasks.
STEP 6
Accelerate with AI
Apply AI to speed up development and testing work.
STEP 7
Validate AI output
Review, test and correct what AI produces.
STEP 8
Apply to real projects
Carry the full workflow into supervised, real-world work.
LEARN TO BUILD WITH AI
Generative AI + Agentic AI
Understanding the difference between these two categories of AI tools is central to the program.
Generative AI
Supports individual tasks:
Ideas and brainstorming
Writing code snippets
Drafting test cases
Producing documentation
Assisting with debugging
Drafting content
Agentic AI
Supports complex, multi-step workflows:
Understanding project context
Analyzing requirements
Modifying multiple files
Implementing features end-to-end
Debugging across a codebase
Running tests and iterating
AI does not replace technical understanding. Zenocta teaches candidates how to understand what AI produces, direct it toward the right outcome, verify its accuracy, and improve on it.
WHAT YOU WILL LEARN
Skills You Will Build
Participants learn the fundamentals of software development and testing before progressing to AI-assisted workflows. Depending on their selected track, they learn Flutter mobile app development or Framer website development alongside manual testing, debugging, documentation, Generative AI and Agentic AI.
Development Fundamentals
Core programming logic, structure and problem-solving skills for building software.
Manual Testing
How to test applications by hand before relying on any automation or AI.
AI-Assisted Development
Using AI tools to write, refactor and accelerate real development work.
AI-Assisted Testing
Applying AI to generate, expand and validate test coverage effectively.
Generative AI
Using AI to support code, content, documentation and problem-solving tasks.
Agentic AI
Directing AI through complex, multi-step development and testing workflows.
Git & Version Control
Managing code changes, branches and collaboration using Git.
Debugging & Problem Solving
Systematically identifying, isolating and resolving software issues.
Real-World Projects
Applying skills to supervised project work under mentor guidance.
Documentation
Writing clear technical documentation for code, tests and processes.
Project Collaboration
Working effectively within a team on shared project deliverables.
Professional Software Workflows
Following the practices used in real, professional engineering teams.
PROJECT-BASED LEARNING
From Training to Real Projects
Learning becomes meaningful when candidates apply it to actual software problems, not just exercises. The program builds toward this progressively.
Guided Exercises
→
Assignments
→
Mini Projects
→
Supervised Project Tasks
→
Real-World Project Exposure
The exact nature of project exposure depends on the candidate’s track, progress and demonstrated capability — not every candidate is guaranteed a client-facing or production-level project.
PROGRAM DURATION
Three Months, Three Stages
Over three structured months, participants move from foundational skills to applied, real-project experience — with training, practice and mentor feedback built into every stage.
MONTH 1
Foundation & Training
The program begins with the fundamentals of your chosen technology track alongside core principles of software testing, through guided exercises and structured assignments.
MONTH 2
AI-Assisted Development & Testing + Project Work
Training shifts to applying Generative AI and Agentic AI within real development and testing workflows. Supervised project work begins under mentor guidance.
MONTH 3
Real-World Project Experience & Evaluation
Participants continue development, testing, debugging and documentation on their assigned project, with reviews, demonstrations and continuous evaluation.
Week 1–2
Fundamentals
Week 3–4
Development + Manual Testing
Month 2
AI-Assisted Development + Testing
Month 2–3
Project Work
Final Stage
Evaluation + Project Presentation
10–15
Candidates per mentor
Each mentor works closely with a limited group of candidates, allowing individual attention, close review and meaningful project support. As a result, each batch has limited seats to protect the quality of guidance every participant receives.
WHO CAN APPLY
Who Can Apply
The program is designed for graduates who want to build practical skills in Flutter app development, Framer website development, software testing and AI-assisted engineering. It is suitable for recent graduates, career starters and graduates exploring a transition into technology.
The program is open to graduates from any academic background. No prior professional experience in software development or testing is required. Basic computer literacy and a genuine willingness to learn are expected of every applicant. Before admission, candidates go through a basic assessment — there is no competitive entrance exam, no technical interview and no multi-stage interview process.
Ideal For
Recent graduates
Graduates looking to enter the tech industry
Students who have completed their graduation
Career starters exploring a technical path
Anyone interested in app development, website development, software testing or AI-assisted workflows
You Should Be
Willing to learn new concepts and tools
Willing to practice consistently and complete assigned work
Comfortable working in a virtual/remote training environment
Genuinely interested in technology
Prepared to dedicate time to assignments and project work
Who May Not Be Suitable
Expects a guaranteed job at the end
Unwilling to complete assignments or participate in project work
Expects AI tools to do their work for them
Cannot commit the time the program requires
Not genuinely interested in learning technical concepts
PROGRAM BENEFITS
What You Gain
Practical Skills
Hands-on training in real development and testing practices, not just theory.
AI-First Workflow
Learn to use Generative AI and Agentic AI as part of everyday development and testing work.
Project Experience
Contribute to structured project work under mentor supervision during the program.
Testing Mindset
Build a disciplined approach to quality, debugging and issue resolution.
Portfolio
Leave the program with tangible project work that reflects your applied skills.
Career Readiness
Strengthen the technical, communication and problem-solving skills for your next step.
PROGRAM FEE
Investing in Your Skills
Complete 3-Month Program
₹19,998
one-time, complete program
This fee includes
Virtual live training sessions
Practical assignments and exercises
Mentor guidance throughout the program
Development and software testing training
AI-assisted workflow training
Exposure to project work
Periodic assessments
A program completion certificate, subject to applicable completion criteria
Third-party software subscriptions, AI tool subscriptions, personal devices and internet connectivity are not included unless specifically stated otherwise.
Candidate-Owned AI Tools
Participants may need to use third-party AI or development tools during the course of the program. Where any such tool requires a paid subscription, that cost is the participant’s own responsibility unless Zenocta explicitly states otherwise.
AFTER THE PROGRAM
What Happens After the Program?
The program is designed to help participants build practical skills and project experience that can support their next step in a technology career. Throughout the program, candidates are evaluated on technical ability, project performance, learning progress, problem-solving skills, testing quality, communication, professionalism and overall contribution.
Employment with Zenocta is not guaranteed. Selected candidates may be considered for employment based on performance and business requirements.
Explore current openings on our Careers page.
LEGAL
Training Program Terms & Conditions
This draft should be reviewed by Zenocta’s legal/HR advisor before publication, particularly the fee, confidentiality, intellectual property, privacy and refund/cancellation clauses.
1. Program Overview
This document sets out the terms and conditions (“Terms”) governing participation in the Zenocta Solutions AI-Powered Development & Testing Training Program (the “Program”). By applying to and enrolling in the Program, the participant agrees to be bound by these Terms.
2. Eligibility
The Program is open to graduates from any academic background. No prior professional experience in software development or testing is required. Applicants are expected to have basic computer literacy and a genuine willingness to learn.
3. Admission
Submission of an application does not guarantee admission into the Program. All applicants undergo a basic assessment as part of the admission process. Zenocta reserves the right to accept or decline any application at its discretion.
4. Program Duration
The Program runs for approximately three (3) months, structured across foundational training, AI-assisted development and testing training, and supervised project work, as described on this page.
5. Program Fee
The Program fee is ₹19,998, payable for the complete 3-month Program. This fee covers only the services explicitly described on this page. Any third-party software, AI tool subscriptions, hardware, devices or internet connectivity required by the participant are excluded from the Program fee unless expressly stated otherwise by Zenocta.
6. No Employment Guarantee
Enrollment in, participation in, or completion of the Program does not constitute an offer of employment and does not guarantee a job, internship conversion, or any specific salary or role with Zenocta Solutions. Any consideration for employment is separate from, and subsequent to, successful completion of the Program.
7. Program Content
Zenocta reserves the right to update, modify or revise the Program’s curriculum, tools, technologies and training methodology at any time, with or without prior notice, in order to keep the Program aligned with current industry practices.
8. Project Allocation
Allocation of project work to a participant depends on factors including the participant’s technology track, demonstrated capability, business requirements at the time, project availability, individual progress and mentor assessment. Not every participant is guaranteed allocation to a client-facing or production project.
9. Confidentiality
Participants may be exposed to internal information, client information, source code, credentials, business information, or project documents and data during the Program. Participants agree to treat all such information as confidential and not to disclose, share, copy or use it for any purpose outside the scope of the Program.
10. AI Usage
Participants are expected to use AI tools responsibly and in accordance with any guidance provided during the Program. Participants must never submit confidential Zenocta information, client information, credentials or proprietary data to any unauthorized or public AI service. All output generated using AI tools must be reviewed and validated by the participant before being treated as final work product.
11. Intellectual Property
Any intellectual property arising from work performed by a participant on an assigned Zenocta project shall be governed by the applicable project agreement, confidentiality agreement, or other written terms provided separately to the participant for that purpose. These Terms do not, by themselves, constitute or create any assignment or licensing of intellectual property rights.
12. Attendance and Participation
Participants are expected to attend scheduled sessions, complete assigned work, and participate actively in training and project activities. Repeated non-participation or non-completion of assignments may affect a participant’s project allocation, continued participation in the Program, or eligibility for a completion certificate.
13. Candidate Conduct
Participants are expected to conduct themselves professionally and respectfully at all times toward mentors, Zenocta staff, fellow participants, and any clients they may interact with during the course of the Program.
14. Account and System Access
Any credentials, systems, or access provided to a participant during the Program are to be used strictly for authorized Program-related activities. Participants must not share their credentials with others or attempt to access any systems, data or accounts beyond what has been authorized.
15. Assessment
Participant performance is assessed on an ongoing basis through assignments, project work, practical activities, mentor feedback, and a final evaluation conducted toward the end of the Program.
16. Certificate
Participants who satisfy the applicable completion requirements of the Program may receive a program completion certificate. This certificate reflects participation and completion of the Program only and is not a guarantee of employment, nor is it a professional or industry-recognized certification.
17. Third-Party Tools
Zenocta may use or reference third-party platforms, software, or tools as part of the Program. The availability, functionality and terms of use of any such third-party tool are subject to the respective third-party provider and are outside Zenocta’s control.
18. Program Changes
Zenocta reserves the right to modify Program schedules, mentors, learning materials, or activities where reasonably necessary, including for operational, logistical, or quality reasons.
19. Application Information
Participants must ensure that all information provided during the application process is accurate and complete. Providing misleading or false information may result in rejection of the application or removal from the Program.
20. Privacy
Any personal information collected from candidates and participants during the application and Program process will be handled in accordance with Zenocta Solutions’ applicable privacy practices, as set out in Zenocta’s Privacy Policy available on this website.
21. Refund / Cancellation
Candidates may request a refund within 3 calendar days from the date the Program begins. Refund requests submitted after this 3-day period will not be eligible for a refund. Any applicable refund will be processed according to Zenocta Solutions’ standard payment and refund procedures.
22. Acceptance
By submitting an application for the Program, the participant confirms that they have read, understood and accepted these Terms and Conditions in full.
REGISTRATION
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Take the first step toward building practical development and testing skills with Zenocta’s AI-powered training program.
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