Generative AI (GenAI) Corporate Training
Make generative AI a practical capability your team uses every day.
Give your employees the practical skills to learn, develop, and build with generative AI. Edstellar's Generative AI (GenAI) corporate training program teaches your team to select models, design effective prompts, and review outputs with confidence. Delivered live by instructors from a corporate training company you can trust, every session combines concise briefings with hands-on labs, tailored to your team's workflows, tools, and goals.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a GenAI-capable team
The Edstellar GENERATIVE AI Capability Model
Baseline GenAI readiness
Prompting and review assessments map your team's current generative AI knowledge and workflows.
Standardize prompting
One shared prompt playbook: model selection rules, prompt patterns, and output review checklists.
Practice in live labs
Guided hands-on labs cover drafting, summarizing, coding, and analysis, with troubleshooting help.
Measure the skill lift
Lab-based assessments benchmark each participant's prompting and review capability before and after.
Scale across teams
One GenAI standard rolls out across cohorts and functions as adoption grows in your organization.
Need more than one program?Get a group quote
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Program Overview: What is Generative AI (GenAI) Corporate Training?
Generative AI (GenAI) Corporate Training is a hands-on technical program for enterprise teams adopting GenAI tools in day-to-day work. It covers how generative models work, how to select the right model for each task, how to design effective prompts, and how to review outputs for quality. Teams build real skills through guided labs, not slide decks.
Training runs across six modules over 24 hours, blending concise technical briefings with hands-on labs. Participants iterate on prompt design, configure models for real tasks, troubleshoot poor outputs, and apply GenAI to drafting, summarizing, and analysis work. The instructor tailors scenarios to your workflows before delivery and coaches each participant through the exercises. Progress is measured through lab-based assessments, and the program closes with the Capstone: GenAI Team Project.
Most teams get GenAI licenses and nothing changes: prompts stay shallow, outputs go unchecked, and the tools quietly die. Without model selection skills and output review habits, generative AI becomes an expensive toy. This program builds the working habits that make GenAI reliable, so teams produce better drafts, summaries, and analyses with confidence.
The capstone is a team project: participants design prompts, select models, and build a working GenAI solution for a real workflow from their own jobs, then present it with quality evidence. They leave with a deployed solution and the judgement to keep improving it.
Across six modules, your team moves from GenAI foundations to a workflow capstone. Labs use realistic content, code, and data scenarios, so every technique transfers directly to your environment and improves the quality of what your team ships.
Delivered as a hybrid technical program, it fits around your operations with scheduling that respects working hours. Content focuses on your team's day-to-day work, so each cohort practices the workflows it owns.
What's Included in this Workshop for Your Enterprise Teams
- 1
Prompt design patterns
Write prompts for drafting, summarizing, analysis.
- 2
Model selection framework
Match models to tasks by strength, cost, and risk.
- 3
Output review checklists
Verify accuracy, tone, and safety before use.
- 4
Hands-on labs
Practice on real scenarios with instructor coaching.
- 5
Capstone project
Ship a team GenAI workflow plan with review.
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Instructor-led (virtual/onsite/hybrid)
- Recurring and annual options
- Trainer sourcing, matching and logistics
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Generative AI (GenAI) Course Topics and Program Outline
Six modules, six hands-on labs, and a capstone project take your team from GenAI foundations to a production-ready workflow plan.
We baseline your team's radio, signal processing, and network design skills so the ISAC labs start exactly where your engineers are.
Instructor-led sessions on 6G vision, radar fundamentals, and propagation, building the theory behind joint sensing and communications.
Guided hands-on labs: build waveforms, implement sensing pipelines, and run mmWave simulations with live instructor troubleshooting.
Harden a sensing deployment against real threats and ship a capstone ISAC prototype for a live 6G use case with expert review.
Every module pairs concept delivery with guided practice, so skills are proven on real ISAC tasks, not just discussed.
Delivered as
Delivered live by an instructor in hybrid, onsite, or virtual formats, with all labs run in guided simulation environments your team can reuse after the program.
Explore model types in the lab and set up team tooling. Run the technical baseline assessment and establish your starting point.
learna)How generative models work
b)Text, image, and code model types
c)Team tool access and setup
d)Technical baseline assessment
Design prompts for drafting and analysis tasks. Iterate on weak outputs and compare prompt variations in guided labs.
learna)Prompt structure and components
b)Drafting and summarizing prompts
c)Analysis and reasoning prompts
d)Iterating on weak outputs
Compare models on sample tasks. Configure temperature and context settings and validate selection decisions.
practicea)Model strengths and trade-offs
b)Cost, speed, and risk factors
c)Temperature and context settings
d)Selection scenario practice
Complete end-to-end labs: drafting, summarization, code assistance, and data analysis, with live instructor coaching.
practicea)Document drafting labs
b)Summarization and extraction labs
c)Code generation assistance labs
d)Data analysis workflows
Review flawed outputs against checklists. Practice troubleshooting poor results by refining prompts and settings.
practicea)Spotting hallucinations and errors
b)Output review checklists
c)Safety, bias, and compliance checks
d)Troubleshooting poor outputs
Capstone lab: design and present a complete GenAI workflow for a real team use case, with instructor assessment.
applya)Workflow scoping and planning
b)Model and prompt design
c)Review and safety checks
d)Presentation and debrief
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team will leave able to select models, design prompts, and review outputs with confidence. These competencies are built and measured in hands-on labs.
Design effective prompts
Write prompts for drafting, summarizing, analysis, and reasoning that produce reliable, usable outputs.
Select the right model
Match models to tasks by strength, cost, speed, and risk, and configure settings like temperature and context.
Review outputs for quality
Apply checklists to verify accuracy, tone, and safety before any AI-generated content is used or shipped.
Spot and fix hallucinations
Identify errors, bias, and invented facts in model outputs, then troubleshoot by refining prompts, context, and settings.
Generate and edit content
Draft documents, summarize meetings, and create structured content faster with guided prompt workflows.
Assist coding and analysis
Use GenAI to draft code, explain logic, and run first-pass data analysis with careful human review.
Ship a GenAI workflow
Scope, design, and present a complete GenAI workflow for a real team use case, ready to implement.
Teams that Benefit from this Generative AI (GenAI) Group Training
This program is built for technical and business groups adopting generative AI, from engineering to marketing. Teams practice on real workflows in hands-on labs. Content adapts to role and experience, so each cohort practices the workflows it owns.
Ship code faster with AI assistance.
Software engineers in small groups practice GenAI-assisted coding, documentation, and code review workflows in the lab.
Workflow friction
- Prompts that produce broken or insecure code
- Slow adoption of AI coding tools
- Inconsistent code review of AI output
How the program helps
- Write prompts for code generation
- Review AI-generated code safely
- Standardize team coding prompts
Practice use cases
- Code generation labs
- Prompt patterns for code
- Code review drills
- Debugging assistance
Analyze data faster with GenAI support.
Analysts across the workforce practice prompting for data exploration, summarization, and first-pass analysis with human review.
Workflow friction
- Hours lost to manual data summarization
- Unverified AI analysis in reports
- No standard prompts for analysis
How the program helps
- Prompt for data exploration
- Verify AI analysis before sharing
- Build reusable analysis prompts
Practice use cases
- Data exploration labs
- Summarization prompts
- Analysis review drills
- Reporting workflows
Automate routine IT work with GenAI.
IT teams practice drafting documentation, summarizing tickets, and building runbooks with GenAI assistance.
Workflow friction
- Ticket documentation eating up shifts
- Inconsistent knowledge base articles
- Runbooks written from scratch each time
How the program helps
- Draft docs with GenAI prompts
- Summarize tickets consistently
- Generate runbook drafts fast
Practice use cases
- Documentation labs
- Ticket summarization
- Runbook drafting
- Knowledge base updates
Streamline delivery with AI workflows.
DevOps teams, including cross-functional partners, practice GenAI for pipeline documentation, config drafting, and incident summary workflows.
Workflow friction
- Pipeline docs falling behind changes
- Config drafts written by hand
- Post-incident summaries delayed
How the program helps
- Document pipelines with GenAI
- Draft configs with review
- Summarize incidents quickly
Practice use cases
- Pipeline documentation
- Config drafting labs
- Incident summaries
- Workflow automation
Each batch works through role-relevant scenarios, then leaves with reusable prompt patterns for day-to-day work.
Prerequisites: This program benefits network engineers, RF designers, planners, and wireless researchers most. Familiarity with basic wireless communications concepts helps, but is not required: foundations are taught from the ground up. No prior radar or 6G experience is needed, and labs adapt to each cohort's tools, whether teams work in simulation or on lab hardware.
Radio Engineer to ISAC Systems Specialist
Skills build in the order the program teaches them: foundations first, then guided waveform and sensing practice, then applied security and full system prototyping in the capstone.
One program that grows with wireless careers, from 6G basics to confident ISAC practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Every mode is instructor-led and tailored to your workflows before delivery. The curriculum, hands-on labs, assessments, and capstone stay the same across hybrid, blended, onsite, and virtual formats, so capability is consistent however you run it online.
Hybrid Training
Live instruction plus supervised hands-on labs, across onsite and virtual sessions. Your team practices prompting, model selection, and output review with instructor coaching. Ideal for technical practice with flexible scheduling.
- Live instruction across onsite and virtual sessions
- Guided labs with instructor support
- Hands-on exercises on GenAI workflows
- Best for flexible schedules with real interaction
Onsite Practice
Your instructor delivers at your facility with labs set up for your team. Everyone practices prompting and output review with direct coaching. Best for co-located teams.
- Instructor delivers at your facility
- Lab sessions for your team workflows
- Direct coaching during exercises
- Best for co-located teams wanting interaction
Live Virtual Training
Live virtual training on Zoom or Teams with remote lab access. Breakout rooms support small-group exercises and troubleshooting. E-learning materials support pre-session prep. Ideal for distributed teams adopting GenAI.
- Live sessions on your platform
- Cloud-based lab environments
- Screen-shared guidance through every lab
- Ideal for distributed teams across locations
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, preferred dates, and delivery mode in the lead form, or book a short discovery call first. We reply with a tailored proposal covering scope, schedule, and per-group pricing.
Yes. Many teams run one pilot batch first to validate the labs and pacing. We then adjust the plan before wider rollout.
Yes. Live virtual sessions run on your platform with full remote lab access, breakout exercises, and instructor coaching throughout.
Yes. Your instructor can deliver at your offices with labs set up for your team, and hybrid formats combine both.
The program runs 24 hours across six modules, typically over three to four days. Scheduling is flexible and mutually agreed with your team.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
GenAI training follows basic AI fluency and goes deeper on how generative models work and where to apply them. Your team then sharpens prompting and context skills, and the final step moves on to agentic AI, where models start taking actions.
Why Choose Edstellar as Your Generative AI (GenAI) Training Provider
If your team needs practical generative AI skills they can use immediately, start here. Share your training needs and we will shape a Generative AI (GenAI) program around your workflows, timelines, and preferred delivery mode.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every program is shaped around your GenAI workflows, tools, and team roles before delivery.
Expert trainers
Practitioners with deep GenAI expertise lead every session, coaching your team through hands-on labs.
Measurable outcomes
We track capability from baseline check to capstone, so your GenAI skill lift stays visible.
Global scale
Deliver one shared GenAI standard across sites and batches, in hybrid, onsite, or virtual formats.
Develop GenAI Workflows Through Prompt Testing and Critical Output Review
Edstellar helps teams turn generative AI experimentation into clearly defined, reviewable workflows. Participants compare models, iterate prompts, and examine flawed outputs across drafting, summarization, coding, and analysis tasks. The team project combines these decisions, with feedback on task fit, source checking, troubleshooting, and the boundaries of the proposed workflow.
- Step 01
Consult
We assess digital-tool confidence, task clarity, and output-checking habits, identifying where prompting or model selection falls short and what data-handling policies apply.
- Step 02
Plan
GenAI foundations lead into prompt iteration, model configuration, applied task labs, and output troubleshooting before the team designs and presents its workflow.
- Step 03
Align
We align GenAI facilitation with the cohort's work tasks and technical readiness, confirming approved tools and appropriate reference material for checking generated results.
- Step 04
Customize
Sample drafting and analysis tasks reflect familiar workflows, using permitted data and explicit quality criteria rather than asking participants to upload confidential material.
- Step 05
Execute
Participants compare prompt variations, adjust model settings, and inspect flawed outputs, receiving feedback on task instructions, verification, hallucination detection, and troubleshooting choices.
- Step 06
Evaluate
We assess the team workflow for an appropriate model and prompt strategy, documented output checks, explained limitations, and evidence that results meet the stated task.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Generative AI (GenAI) Corporate Training Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Generative AI (GenAI) Training for Your Team
Tell us your team size, GenAI challenges, preferred delivery mode, timelines, and availability. We will send a tailored training plan and proposal, starting with a short discovery call.