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SIN Corporate Xcelerator: 20-Hour Agentic AI Training in Jodhpur

9 hours ago
4 min read
SIN Corporate Xcelerator — 20-hour offline AI training in Jodhpur

SIN School of AI introduces SIN Corporate Xcelerator: a 20-hour, instructor-led offline program in Jodhpur for professionals and corporate teams who want to move from prompting to practical AI workflows.


From prompting to powerful AI agents is the learning direction. Clear task design, source checking, testing and human review remain central throughout the program.


Program at a glance


  • Duration: 20 instructor-led hours across 20 learning blocks.

  • Format: offline, hands-on weekend training.

  • Tools: Claude, Codex, NotebookLM and Kimi AI.

  • Saturday: 5:30–7:00 PM IST. Sunday: 10:00–11:30 AM IST.

  • Venue: Gayatri Innovation Center, Jodhpur.

  • Enrolment: +91 9511506378 or +91 7357288703.




Why this program goes beyond prompting


An effective workplace workflow needs more than a convincing answer. It needs a defined objective, relevant inputs, a way to check results and a clear point at which a person approves the next action. Corporate Xcelerator brings these habits into guided exercises and a combined capstone.


Participants practise planning, research, coding support, knowledge synthesis and bilingual work. The aim is to develop useful, reviewable outputs—not to treat AI responses as automatically correct or deploy untested automation.


Who should attend?


The program is designed for working professionals, corporate teams, educators, officials, founders and team leaders. Participants should bring basic digital fluency and a non-sensitive professional use case. Coding experience can help with automation exercises, but the program includes task specification and guided practice.


The 20-hour curriculum


The learning journey comprises Foundations (2 hours), Claude (4 hours), Codex (4 hours), NotebookLM (4 hours), Kimi AI (3 hours) and a cross-tool capstone (3 hours).


Think with clarity — Foundations and Claude curriculum

01–02 · Foundations: think before you automate



  • 01 — Agentic AI Foundations

  • 02 — Responsible Workflow Design


Define a suitable problem, map the workflow and identify where human oversight belongs. Practical output: a workflow map and responsible-use charter.


03–06 · Claude: clarity before decisions



  • 03 — Claude for Structured Reasoning

  • 04 — Claude Research Planning

  • 05 — Claude Decision Support

  • 06 — Claude Workflow Orchestration


Practise converting a broad question into a structured brief, an investigation plan and a reviewable decision-support workflow. Practical output: a reasoning assistant workflow.


Build, verify and refine — Codex and NotebookLM curriculum

07–10 · Codex: turn intent into execution



  • 07 — Codex Task Specification

  • 08 — Codex Script Generation

  • 09 — Codex Debugging and Iteration

  • 10 — Codex Pipeline Integration


Specify inputs, outputs and acceptance criteria; develop a small automation; then test and refine it. Practical output: a tested automation artifact. Generated code still requires review before use with real systems or sensitive data.


11–14 · NotebookLM: ground every insight



  • 11 — NotebookLM Source Grounding

  • 12 — NotebookLM Synthesis

  • 13 — NotebookLM Knowledge Workflow

  • 14 — NotebookLM Professional Deliverables


Organise relevant source material, compare findings and build a clear professional brief. Practical output: an evidence-backed research brief, with claims checked against the supplied sources.


Connect the big picture — Kimi AI and cross-tool capstone

15–17 · Kimi AI: connect the bigger picture



  • 15 — Kimi AI Long-Context Workflows

  • 16 — Kimi AI Hindi–English Workflows

  • 17 — Kimi AI Business and Content Use Cases


Work with extended context and bilingual communication tasks. Practical output: a long-context or Hindi–English workflow suited to a professional use case.


18–20 · Capstone: build, test and present


  • 18 — Cross-Tool Architecture

  • 19 — Capstone Build and Test

  • 20 — Capstone Presentation and Action Plan


Connect at least two platforms into one practical workflow. Explain the inputs, tool responsibilities, review checkpoints, limitations and results. The final presentation should show what works, what was tested and what still needs improvement.


What the Krishna-inspired campaign represents


The campaign uses artistic depictions of Krishna to express judgment, purposeful action, knowledge, foresight and humility. These are visual themes for the learning journey, not claims that ancient narratives describe modern AI tools. The chess cover is a creative metaphor for strategy.



Schedule, venue and preparation



Weekend sessions: Saturday 5:30–7:00 PM and Sunday 10:00–11:30 AM, Indian Standard Time. Contact the team for the cohort start date and final session plan that completes the 20 instructor-led hours.


Venue: Gayatri Innovation Center, Mahaveerpuram City, 1st Floor, Plot No. 52, Behind Funworld, Jodhpur.


  • Bring a charged laptop and basic digital working skills.

  • Choose a real but non-sensitive work task for practice.

  • Confirm required accounts and access before the cohort begins.

  • Ask the team for fees, payment terms, available seats and certification requirements. No start date or fee is announced in this article.


Frequently asked questions


Is this an online course?


This offering is offline training in Jodhpur, with the weekend timings listed above.


Will I work on a practical project?


Yes. The curriculum includes guided outputs and a capstone connecting at least two platforms. The scope should remain achievable within the training hours.


Are paid AI subscriptions included?


Confirm tool access and any subscription charges with the enrolment team. Do not assume third-party paid plans are included in the training fee.


Does the program guarantee a job or business results?


No job placement, income or business-performance guarantee is made. Outcomes depend on participation, practice, the selected use case and responsible application.


Enrol in SIN Corporate Xcelerator


Discuss your professional goals or your team’s training needs with SIN School of AI. The team can confirm cohort dates, fees, prerequisites and availability.





Follow @sin.edutech for more such programs.


 
 
 

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