AI-Assisted Development and Vibe Coding Corporate Training
Code at the speed of thought, with guardrails that keep it right.
This instructor-led program gives development teams practical methods for building software with AI assistance, from vibe coding prototypes to production-grade workflows, with every technique validated through hands-on labs.
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 ai-accelerated team
The Edstellar AI-ASSISTED DEVELOPMENT & VIBE CODING Capability Model
Diagnose dev bottlenecks
We review your coding workflows, review queues, and delivery speed to find where AI assistance pays off fastest.
Standardize AI workflows
Your team learns one shared set of prompting patterns, verification gates, and review habits for AI-written code.
Practice in guided labs
Developers build real features with AI assistance in hands-on labs, coached on prompts, agents, and guardrails.
Measure delivery outcomes
You track cycle time, review quality, and defect rates to prove AI is accelerating delivery without breaking it.
Scale what works
Winning prompts and agent patterns become team playbooks and standards your whole organization can adopt.
Need more than one program?Get a group quote
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Program Overview: What is AI-Assisted Development and Vibe Coding?
AI-Assisted Development & Vibe Coding is a 31-hour hands-on program for developers and engineering teams adopting AI coding tools with discipline. Across eight modules, participants explore prompt engineering for developers, vibe coding from idea to prototype, AI pair programming, and guardrails for reviewing AI-generated code. The program closes with AI-assisted testing and AI agents in the development loop, treating AI as a force multiplier rather than a shortcut.
Training is lab-driven: guided labs walk participants through development tasks, from prompting a prototype into existence to hardening AI-generated code with tests and reviews. Instructors coach prompt technique, verification habits, and agent workflows, with feedback throughout. Learners practice where AI helps most and where human judgment must lead. It closes with a five-hour capstone where each participant ships a working feature built with AI assistance.
Developers already use AI tools, but ad-hoc use produces unverified code, hidden bugs, and no shared standards. Teams gain speed now and pay for it later. This program replaces improvisation with method: structured prompting, mandatory review guardrails, and testing practices that keep AI-generated code production-ready.
The capstone ships a production-ready feature built with AI workflows, tested and reviewed. Developers keep the speed of vibe coding and gain the discipline that keeps AI-generated code trustworthy.
Over 31 instructor-led hours, participants move from AI coding fundamentals to a complete capstone feature. They write prompts that produce clean code, pair with AI on real tasks, build review and testing guardrails, and wire AI agents into their dev loop. Every lab mirrors real development work, so teams leave with workflows they can use on their own codebases immediately.
What's Included in this Workshop for Your Enterprise Teams
- 1
Foundations
Understand how AI coding tools work and where they genuinely accelerate development.
- 2
Prompts
Write prompts that produce clean, tested, maintainable code on the first pass.
- 3
Vibe coding
Go from idea to working prototype at conversation speed with AI.
- 4
Guardrails
Verify AI-written code with reviews, tests, and automated checks.
- 5
Agents
Put AI agents to work across the dev loop: CI, docs, and refactoring.
- 6
Capstone
Ship a production-ready feature with AI assistance, reviewed and tested.
- Instructor-led delivery across virtual, onsite, and hybrid formats
- 31 hours of guided instruction with hands-on labs in every module
- Course materials, prompt libraries, and verification checklists included
- Trainers with real AI-assisted development experience
- Cohort scheduling aligned to your team's availability and time zones
- Post-program support resources for applying workflows to live projects
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.
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AI-Assisted Development and Vibe Coding Course Topics and Program Outline
Eight modules take your team from AI coding fundamentals to a complete capstone: prompts, vibe coding, guardrails, agents, and AI-assisted testing.
Built by Edstellar with AI-assisted development specialists
Built by engineers who ship production software with AI assistance every day, shaped around your stack and use cases.
We review your development workflows, review bottlenecks, and delivery speed to target the AI assistance with the biggest payoff.
Your team learns how AI coding tools work, prompt patterns, and the verification habits that keep AI-written code trustworthy.
Developers vibe-code prototypes and pair with AI on real tasks in guided labs, coached on prompts and review discipline.
Teams wire AI agents into CI, generate tests with AI, and ship a production-ready capstone feature with full evidence.
Outcome: a production-ready feature built with AI assistance, with tests, reviews, and workflow evidence.
Delivered as
Delivered as 31 instructor-led hours with a guided lab in every module and a capstone feature your team builds, tests, and presents.
Map your current development workflow and mark the tasks where AI assistance would save the most time.
learna)How large language models write and explain code
b)AI coding tools: assistants, agents, and IDE integrations
c)Where AI helps: boilerplate, exploration, and refactoring
d)Where AI struggles: architecture, edge cases, and judgment
Build a prompt library entry that generates a tested utility function matching your style guide.
learna)Anatomy of a great coding prompt: context, constraints, examples
b)Prompting for tests, docs, and refactors alongside code
c)Iterative prompting: debugging and improving AI output
d)Prompt libraries and reusable patterns for your team
Vibe-code a working prototype of a real feature idea, then demo it to your lab group.
practicea)Vibe coding workflow: describe, generate, run, iterate
b)Scaffolding full apps from natural language specs
c)Keeping prototypes honest: scoping and data realism
d)When to stop vibing and start engineering
Pair with an AI assistant to implement a real user story, reviewing every suggestion critically.
practicea)Working with AI pair programmers in your IDE
b)Driving: you lead, AI accelerates the routine
c)Reviewing AI suggestions like a senior engineer
d)Debugging together: AI as a rubber duck with answers
Review a batch of AI-generated code against a checklist, then automate the checks that caught issues.
practicea)Reading AI code critically: common failure modes
b)Review checklists for AI-generated changes
c)Automated guardrails: linters, tests, and static checks
d)Security review for AI-written code and dependencies
Generate a test suite for an untested module, then mutate the code to verify the tests catch breakage.
applya)Generating unit and integration tests from code
b)AI-assisted edge case and property discovery
c)Mutation testing to check your test suite
d)Keeping generated tests maintainable and meaningful
Set up an AI review bot on a sample repo and let it triage a pull request with fix suggestions.
applya)Coding agents: task delegation and supervision
b)AI in CI: review bots, fix suggestions, and triage
c)Docs and changelogs generated from code
d)Refactoring at scale with agent assistance
Ship a production-ready feature with AI assistance and present your workflow, tests, and review evidence.
applya)Scoping the feature and planning the AI workflow
b)Building with prompts, agents, and guardrails
c)Presenting the feature, tests, and review evidence
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
Every participant leaves with AI-assisted workflows they can use on their own codebases the week after the program.
Prompt for clean code
Write prompts that produce tested, maintainable code matching your standards.
Vibe-code prototypes
Turn ideas into working prototypes at conversation speed with AI.
Pair with AI tools
Use AI coding assistants effectively across features, fixes, and refactors.
Verify AI output
Review AI-written code with checklists and automated guardrails.
Generate tests with AI
Build test suites and edge cases with AI, validated by mutation.
Run agents in the loop
Deploy coding agents across CI, docs, and large refactors.
Ship AI-assisted features
Deliver production features with AI, backed by tests and review evidence.
Teams that Benefit from this AI-Assisted Development and Vibe Coding Group Training
This program is built for software developers, tech leads, and engineering managers who want AI to speed up delivery. Content adapts to each cohort's stack and maturity, so every group practices the coding workflows it actually owns.
Write code faster without losing quality
Developers learn to prompt, pair, and verify with AI across the features they build every day.
Workflow friction
- Slow boilerplate and routine coding
- Inconsistent AI tool usage
- AI output nobody verifies
How the program helps
- Faster feature delivery with AI
- Prompts tuned to your codebase
- Review habits that catch AI mistakes
Practice use cases
- Feature development
- Prompt libraries
- AI code review
- Rapid prototyping
Set the AI strategy your teams follow
Tech leads and managers define how their teams use AI coding tools safely and consistently.
Workflow friction
- Ad-hoc AI adoption by individuals
- No policy on AI-generated code
- Unclear ROI on AI tooling
How the program helps
- Clear AI usage guidelines
- Measurable delivery improvements
- Consistent practice across teams
Practice use cases
- AI adoption policy
- Team enablement
- Tooling selection
- Delivery metrics
Test what AI builds, with AI
QA engineers use AI to generate tests and edge cases, then verify AI-written code holds up.
Workflow friction
- Testing untrusted AI code
- Test suites that lag features
- Manual edge case discovery
How the program helps
- AI-generated test coverage
- Edge cases found automatically
- Faster regression feedback
Practice use cases
- Test generation
- Mutation testing
- Edge case discovery
- Review support
Wire AI into the delivery loop
Platform engineers connect AI agents to CI, docs, and review workflows the whole org uses.
Workflow friction
- Manual review bottlenecks
- Docs that fall behind code
- Refactors too big to attempt
How the program helps
- AI review bots in CI
- Automated docs and changelogs
- Agent-assisted refactoring
Practice use cases
- CI agents
- Review automation
- Docs generation
- Large refactors
Every cohort blends methods with the coding workflows your teams own, so practice time maps directly to your products.
Prerequisites: This program suits software developers, tech leads, QA engineers, and engineering managers. No prior AI experience is needed; everyday coding fluency is enough. Teams with active codebases get the fastest payoff by practicing on their own repos. The program adapts examples, labs, and the capstone brief to each cohort's stack and workflow.
Developer to AI-assisted delivery owner
Teams start with AI coding fundamentals and prompt patterns, then vibe-code and pair with AI through guided labs, finishing with a capstone feature shipped with full evidence.
One program that grows with engineering careers, from AI basics to confident AI-assisted delivery ownership.
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
Choose the format that fits your team: live virtual for distributed developers, onsite at your office for intensive cohorts, or hybrid combining both.
Hybrid Training
A blended schedule with virtual sessions and onsite lab days. Your team gets remote flexibility plus in-person collaboration for vibe coding and the capstone feature.
- Flexible mix of virtual and onsite sessions
- Onsite lab days for pair programming
- Cohorts across locations in one program
- Schedule shaped around sprint cadence
Onsite Training
The full 31 hours delivered at your location. Whiteboard design sessions and face-to-face capstone demos make this the most immersive way to learn AI-assisted development.
- Immersive full-day or multi-day cohorts
- Hands-on labs with your codebase
- Capstone demos to your stakeholders
- No travel cost for your team
Live Virtual Training
Live virtual sessions with breakout labs using your AI tooling. Teams practice prompting, vibe coding, and agent workflows in real time with instructor coaching.
- Live instructor sessions with breakout labs
- Labs using your AI toolset
- Session recordings for review
- Ideal for distributed engineering teams
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 and preferred format through the quote form. We respond with pricing and scheduling options within one business day.
Yes, a short call with an advisor maps your stack, team size, and goals to the right program shape.
Yes, instructor-led live virtual delivery with breakout labs runs in your time zones.
Yes, onsite cohorts are available for intensive multi-day delivery with your own tooling.
31 instructor-led hours across eight modules, ending with a capstone feature build.
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.
AI-assisted development is the entry point for teams starting to code with AI. Your developers learn to prompt and build with AI first, then keep the output clean and reviewable, secure what AI generates, and move on to agentic coding tools that handle larger tasks.
Why Choose Edstellar as Your Corporate Training Provider for AI-Assisted Development and Vibe Coding Course
Edstellar delivers AI-Assisted Development & Vibe Coding as hands-on, instructor-led training for development teams. Labs mirror real coding work, the capstone produces a feature your organization can ship.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs and the capstone brief are built around your codebases and AI tooling, so practice maps to the coding work your teams own.
Proven Methodology
A structured sequence from AI coding basics to agent workflows, refined with working development teams.
Practice-Based Learning
Every module includes a guided lab where teams vibe-code, pair with AI, and verify output with expert coaching.
Expert Trainers
Engineers who ship with AI assistance daily lead every session and review each capstone feature.
Global Scale
Consistent delivery across regions and time zones for engineering organizations with distributed teams.
Measurable Outcomes
Cycle time, review quality, and defect rates tracked from baseline to post-program measurement.
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?
AI-Assisted Development & Vibe Coding 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 AI-Assisted Development and Vibe Coding Training for Your Team
Tell us about your development teams and AI tooling. We will tailor the labs and capstone brief to your stack and workflows.