Who it is for

Different teams need different AI judgment.

Training is adapted to each function so teams can move from vague tool usage to practical workflows and safer adoption habits.

Leadership teams

Align on AI opportunities, risks, priorities, and adoption decisions.AI priorities, risks, and adoption decisions.

Product and program teams

Turn AI ideas into practical product workflows, prototypes, and roadmap choices.Turn AI ideas into workflows, prototypes, and roadmap choices.

Engineering teams

Build production-minded RAG, agents, evals, integrations, and review habits.RAG, agents, evals, integrations, and review habits.

Operations teams

Identify repeatable workflows where AI can reduce manual effort safely.Repeatable workflows that reduce manual effort safely.

Customer support and CX teams

Improve ticket triage, reply drafting, knowledge workflows, and escalation review.Ticket triage, reply drafts, knowledge workflows, and escalation review.

Finance and reporting teams

Use AI for spreadsheet analysis, MIS narratives, variance checks, and reporting support.Spreadsheet analysis, MIS narratives, variance checks, and reporting support.

QA and testing teams

Use AI for test scenarios, bug reports, automation planning, and regression support.Test scenarios, bug reports, automation planning, and regression support.

DevOps and cloud teams

Apply AI to incident reviews, runbooks, observability, and cloud workflow support.Incident reviews, runbooks, observability, and cloud workflow support.

Outcomes teams can expect

Leave with practical use cases, review habits, and a clearer adoption path.

  • Identify high-ROI AI use cases for each team
  • Build practical workflows and prototypes
  • Improve productivity using AI safely
  • Understand hallucinations, review points, privacy, and risk
  • Create role-specific AI adoption playbooks
  • Build internal confidence without random tool usage

Training formats

Choose the format that matches the decision, role, and urgency.

90 to 120 minutes

Executive AI Briefings

ForCXOs, leaders, department heads
OutcomeUnderstand practical opportunities, risks, and adoption priorities.

Half-day or full-day

Role-Based AI Workshops

ForBusiness, operations, support, finance, product, QA teams
OutcomeBuild practical workflows and team-specific AI use cases.

1 to 2 days

Technical AI Builder Workshops

ForDevelopers, architects, DevOps, AI engineering teams
OutcomeBuild RAG, agents, evals, integrations, or production-style prototypes.

4 to 12 weeks

Custom Team Cohorts

ForCompanies that want structured capability building
OutcomeGuided learning, projects, reviews, and adoption roadmap.

Corporate workshop catalog

Start from a proven workshop track, then adapt it to your team context.

Corporate workshop cards use custom team pricing. Individual course and workshop prices are intentionally not shown here.

Corporate workshops use custom pricing based on team size, format, and delivery depth.

Request proposal

Featured corporate tracks

Executive briefing or leadership workshopExecutive briefing

Executive AI Strategy for Leaders

AudienceCXOs, founders, department heads, business leaders
Practical outcomeCreate a clear view of AI opportunities, risks, priorities, and next steps.
  • Map high-value AI opportunities by function
  • Separate practical adoption from hype
  • Define safe pilots, review points, and decision criteria
View details
  • Map high-value AI opportunities by function
  • Separate practical adoption from hype
  • Define safe pilots, review points, and decision criteria

Half-day or full-day role-based workshopRole-based workshop

AI at Work for Business Teams

AudienceManagers, HR, sales, analysts, general business teams
Practical outcomeBuild practical daily-work workflows for writing, research, meetings, and reports.
  • Reusable prompts for business tasks
  • Review habits for AI-generated work
  • Personal and team workflow templates
View details
  • Reusable prompts for business tasks
  • Review habits for AI-generated work
  • Personal and team workflow templates

Build-along workshop or 2-day sprintBuild-along sprint

AI Workflow Automation for Operations

AudienceOperations, PMO, process, growth, and internal tooling teams
Practical outcomeDesign AI-assisted workflows with structured inputs, outputs, and human review.
  • Use-case mapping and workflow triage
  • Automation patterns for summaries, classification, and routing
  • Human-in-the-loop checks and fallback planning
View details
  • Use-case mapping and workflow triage
  • Automation patterns for summaries, classification, and routing
  • Human-in-the-loop checks and fallback planning

Role-based workshop or custom team sprintCustom team sprint

GenAI for CX and Contact Centers

AudienceCustomer support, CX, tech support, contact-center leaders
Practical outcomeImprove support workflows around triage, drafts, knowledge, and escalation.
  • Ticket classification and reply drafting
  • Knowledge-base and support-copilot patterns
  • Quality review, escalation, and hallucination checks
View details
  • Ticket classification and reply drafting
  • Knowledge-base and support-copilot patterns
  • Quality review, escalation, and hallucination checks

Technical and function-specific tracks

Half-day or full-day workshopRole-based workshop

AI for Finance, Reporting and MIS

AudienceFinance, reporting, MIS, analysts, operations reporting teams
Practical outcomeUse AI to assist spreadsheet analysis, reporting narratives, and variance checks.
  • Spreadsheet and report summarization workflows
  • Variance explanation and review prompts
  • Safer handling of sensitive business data
View details
  • Spreadsheet and report summarization workflows
  • Variance explanation and review prompts
  • Safer handling of sensitive business data

Hands-on technical workshopTechnical workshop

AI for QA and Test Automation

AudienceManual QA, automation QA, SDETs, test leads
Practical outcomeUse AI to improve test cases, bug reports, automation planning, and review.
  • Generate and critique test scenarios
  • Improve bug reports and regression plans
  • Use AI coding tools without losing test quality
View details
  • Generate and critique test scenarios
  • Improve bug reports and regression plans
  • Use AI coding tools without losing test quality

1 to 2 day technical builder workshopTechnical workshop

Production RAG and Agentic AI for Engineering Teams

AudienceDevelopers, architects, platform teams, AI engineering teams
Practical outcomeBuild production-style prototypes with retrieval, tools, evals, and guardrails.
  • RAG architecture and retrieval quality basics
  • Agent/tool-calling patterns and anti-patterns
  • Evals, observability, reliability, and cost review
View details
  • RAG architecture and retrieval quality basics
  • Agent/tool-calling patterns and anti-patterns
  • Evals, observability, reliability, and cost review

Technical workshop or custom sprintCustom sprint

AI for DevOps, Cloud and Incident Workflows

AudienceDevOps, SRE, cloud, platform, and incident-response teams
Practical outcomeApply AI to runbooks, incident summaries, cloud operations, and review workflows.
  • Incident summarization and postmortem support
  • Runbook and troubleshooting assistant patterns
  • Security, access, privacy, and operational review points
View details
  • Incident summarization and postmortem support
  • Runbook and troubleshooting assistant patterns
  • Security, access, privacy, and operational review points

How engagement works

A simple path from discovery to practical adoption roadmap.

01

Discovery call

Clarify team context, roles, current AI usage, constraints, and what adoption should improve.

02

Role and use-case mapping

Identify high-value workflows and choose the right track, examples, and practical exercises.

03

Workshop or cohort delivery

Run the session live with role-specific demos, hands-on builds, review points, and Q&A.

04

Post-training playbook and next-step roadmap

Summarize useful workflows, safety checks, adoption priorities, and what the team should do next.

Practitioner credibility

Built by practitioners who keep AI training grounded in real work.

RSAI Academy is built by Narendra Sharma, creator of GEEKNaren, with 14+ years in IT and hands-on AI leadership experience. The approach is calm, practical, and designed for people who want useful direction instead of more noise. Corporate sessions use that same practical lens for teams, leaders, and technical builders.

Built by Narendra Sharma, creator of GEEKNaren, with 14+ years in IT and applied AI leadership. RSAI Academy focuses on calm, practical, role-based AI training for teams.

14+ yearsIT and applied engineering experience
Ex-DirectorAI in Healthcare leadership experience
Conversational AISpecialist depth in practical AI systems
GEEKNarenCreator-led practitioner teaching style

Why teams choose RSAI Academy

Practical adoption needs role context, not generic AI excitement.

Practical, not theoretical

Teams build real workflows, not just listen to AI concepts.

Role-based learning

Different tracks for leaders, product, engineering, support, finance, QA and operations.

Safe and governed adoption

We cover hallucinations, review points, privacy, evaluation, and responsible use.

Corporate training inquiryCorporate training

Train your team to use AI with clarity, confidence, and practical judgment.Train your team with practical AI adoption.

For leadership, product, engineering, support, operations, finance, QA, and DevOps teams.Share your team size, goal, and timeline. We’ll suggest the right workshop or cohort path.

We’ll review your team context and suggest the right workshop, briefing, or cohort format.

Corporate AI Training | RSAI Academy