Secure Coding with AI Coding Assistants Corporate Training
Ship AI-assisted code your security team approves: learn to prompt, review, and guard AI-generated code with confidence.
Teams use this corporate training to Learn how AI coding assistants generate code, Develop secure prompting and review habits, and Build guardrails that catch risks before release. Delivered by Edstellar, a corporate training company with 5+ years of experience, this instructor-led program mixes guided labs with real code reviews, so your developers ship AI-assisted features that pass security checks the first time.
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 secure AI-assisted team
The Edstellar SECURE CODING Capability Model
Assess AI code risk
Baseline how assistants are used today and where generated code introduces security debt.
Set secure defaults
Standardize safe prompting patterns, approved assistants, and review rules for every team.
Practice in labs
Hands-on labs on prompt attacks, leaky outputs, and hardened review workflows.
Measure code quality
Track vulnerability rates, review findings, and assistant adoption across teams.
Scale guardrails
Roll pipeline policies and AI code standards across repos, teams, and regions.
Need more than one program?Get a group quote
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Program Overview: What is Secure Coding with AI Coding Assistants?
Secure Coding with AI Coding Assistants is Edstellar's instructor-led technical program for developers using AI to write code. Participants learn how assistants generate code, where security risk enters the workflow, secure prompting, AI-assisted review, and defense against prompt injection and leakage.
Labs put participants inside the risk: they prompt assistants to generate code, then attack that code, review it with SAST, and harden CI/CD with AI guardrails, all under instructor guidance. Each cycle teaches the same lesson from a different angle: trust the output only after verification. The capstone is a secure AI delivery: participants ship an AI-assisted feature with the guardrails to prove it is safe.
AI coding assistants generate code faster than developers can review it, and the generated code carries the same vulnerabilities as its training data. Teams that accept suggestions uncritically ship bugs at machine speed. This program teaches verification as a habit: prompt well, review ruthlessly, and let guardrails catch what humans miss.
The Secure AI Delivery Capstone requires participants to build and ship an AI-assisted feature, then defend its security: prompting strategy, review evidence, SAST results, and CI/CD guardrails all documented. The delivery package they produce is the template for how AI-assisted code should reach production.
From the first session, teams work with AI coding assistants in guided labs: generating features, probing outputs for weaknesses, and applying fixes. Upskill your engineers on the assistant workflows they already use, with security built into every step.
Reskill code reviewers and leads to audit AI-generated changes with confidence. Content adapts to your stack and policies, so practices transfer directly to production work.
What's Included in this Workshop for Your Enterprise Teams
- 1
Guided hands-on labs
Practice secure prompting in live labs.
- 2
Real codebase exercises
Review AI-generated code from realistic apps.
- 3
Security review playbooks
Checklists for auditing assistant output.
- 4
Pipeline guardrail templates
Policy gates for AI-assisted changes.
- 5
Capstone build
Ship a hardened feature with AI assistance.
- Training delivered at any of your offices globally
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Trainer sourcing, matching and logistics
- Instructor-led (virtual/onsite/hybrid)
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
Secure Coding with AI Coding Assistants Course Topics and Program Outline
Six modules take your team from AI assistant basics to secure delivery: safe prompting, AI-assisted reviews, injection defenses, pipeline guardrails, and a capstone build.
Built by Edstellar with secure software practitioners
Built by engineers who ship AI-assisted code in production, shaped around your stack and use cases.
We map how your team uses AI coding assistants today and where generated code creates security risk.
Your team learns secure prompting and review fundamentals through guided instruction and live demos.
Five hands-on labs cover prompt attacks, SAST reviews, leakage defenses, and pipeline guardrails.
A capstone delivery sprint has your team ship a hardened AI-assisted feature through gated pipelines.
25 hours from first prompt to a hardened AI-assisted delivery pipeline
Delivered as
The program runs as instructor-led hybrid training, typically three full days, with pacing and lab weighting adjusted to your team's stack and security policies.
Configure a coding assistant with enterprise-safe settings and inspect what context it can access.
learna)How assistants generate and complete code
b)Enterprise deployment and data controls
c)Configuring safe defaults and access
d)Data retention, privacy, and compliance basics
Generate a login feature from prompts, then harden the output until it passes a security review.
learna)Prompt patterns that generate secure code
b)Scoping context to prevent data leaks
c)Grounding assistants in team standards
d)Iterating prompts to pass security checks
Review a pull request full of AI-generated flaws, triage SAST findings, and sign off the fixes.
practicea)Review workflows for AI-generated changes
b)Wiring assistants into SAST pipelines
c)Triaging findings and false positives
d)Documenting review decisions for audits
Attack a demo assistant workflow with crafted prompts, then patch the leaks you find.
practicea)Prompt injection attack patterns
b)Secrets and PII leakage paths
c)Adversarial testing of generated code
d)Incident response for AI-related issues
Build a pipeline gate that blocks AI-generated changes failing security policy checks.
applya)Policy gates for AI-generated changes
b)SBOM and provenance tracking
c)Human-in-the-loop approval design
d)Metrics for AI-assisted code quality
Ship a hardened feature end to end: generate, attack, remediate, gate, and present.
applya)Feature build with AI assistance
b)Adversarial review and remediation
c)Pipeline gate sign-off
d)Final team readout and review
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 finishes the program able to use AI coding assistants as a safe, productive part of daily delivery. These are the core competencies every cohort builds.
Safe AI-assisted coding
Write and prompt so assistants generate secure code that fits your team's standards and passes review.
Prompt threat defense
Spot and block prompt injection and data leakage in assistant workflows before they reach production.
AI code review judgment
Review AI-generated changes with disciplined checklists, separating real vulnerabilities from noise.
SAST pipeline integration
Wire assistants and static analysis into your pipeline so every AI-generated change is scanned and triaged.
Pipeline guardrail design
Build policy gates and approval workflows that keep AI-assisted delivery fast and secure.
Provenance and SBOM tracking
Track which code assistants generated and keep SBOM records that satisfy audit needs.
Incident response
Respond to AI-related security incidents with practiced runbooks and remediation steps.
Teams that Benefit from this Secure Coding with AI Coding Assistants Group Training
Built for software teams already using, or about to adopt, AI coding assistants. Developers, reviewers, security champions, and engineering managers each get role-relevant labs, and the program adapts to your stack and experience so every cohort practices the workflows it owns.
Ship AI-assisted features that pass security review
Developers learn safe prompting and review habits that keep AI-generated code secure without slowing delivery.
Workflow friction
- AI-generated code fails security review late
- Unclear which prompts produce secure output
- Pressure to ship fast overrides safe habits
How the program helps
- Prompt patterns that generate secure code
- Review checklists for assistant output
- Faster approvals with cleaner pull requests
Practice use cases
- Secure prompting
- Code review labs
- Pipeline gates
- Capstone build
Embed security into AI-assisted workflows
Security-minded engineers learn to audit assistant output, run adversarial tests, and set guardrails teams actually follow.
Workflow friction
- No visibility into how assistants are used
- AI-generated flaws slip past reviews
- Incident playbooks ignore AI workflows
How the program helps
- Adversarial testing techniques
- Guardrail and policy templates
- Incident response runbooks
Practice use cases
- Injection testing
- Leakage defense
- Policy gates
- SBOM tracking
Roll out AI assistants without new risk
Leads learn to set team policies, measure AI code quality, and scale safe assistant usage across squads.
Workflow friction
- Adoption outpaces policy and oversight
- No metrics on AI-assisted code quality
- Teams use assistants inconsistently
How the program helps
- Team policy templates
- Quality metrics dashboards
- Rollout and scaling plans
Practice use cases
- Team policies
- Quality metrics
- Rollout planning
- Governance
Guard the pipeline against risky AI code
Pipeline owners add policy gates, provenance tracking, and approvals that scan every AI-generated change.
Workflow friction
- Pipelines treat AI code like any commit
- No provenance for generated changes
- Manual approvals slow delivery
How the program helps
- Automated policy gate design
- SBOM and provenance setup
- Approval workflow tuning
Practice use cases
- CI/CD gates
- Provenance
- Policy as code
- Approvals
Each cohort works through role-relevant labs, then leaves with reusable guardrails for day-to-day work.
Prerequisites: This program benefits developers, reviewers, and engineering managers whose teams use or plan to use AI coding assistants. Basic familiarity with a programming language and version control helps, but is not required. No prior AI security experience is needed: content adapts to each cohort's tools, stack, and experience level.
Developer to Secure Delivery Lead
The program moves engineers from AI assistant basics to advanced, production-ready secure delivery practice across six guided modules.
One program that grows with engineering careers, from assistant basics to confident secure delivery.
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. Every format is instructor-led, with the same guided labs, reviews, and capstone sprint.
Hybrid Training
Split time between your office and live virtual sessions. Your team practices secure AI coding in guided labs with an instructor, wherever they sit, and capstone work happens together in person.
- Split between your office and live virtual sessions
- Labs tailored to your codebase and policies
- Instructor guides every lab and review
- Capstone delivered as a team sprint
Onsite Training
We deliver at your office, tailoring labs to your codebase and security policies. Ideal for teams that want reviewers and developers practicing side by side.
- Delivered at your office, worldwide
- Labs built around your real codebases
- Developers and reviewers practice side by side
- Security policies woven into every session
Live Virtual Training
Join live virtual sessions from anywhere. Interactive labs, breakout reviews, and instructor feedback run over your usual collaboration tools, with the same hands-on depth as onsite.
- Live instructor-led sessions from anywhere
- Breakout labs with real-time feedback
- Same hands-on depth as onsite delivery
- Runs on your standard collaboration tools
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 goals in the lead form. We respond with a tailored training plan and a quote, usually within one business day.
Yes. Book a discovery call and we will map the program to your stack, policies, and the assistants your team uses.
Yes. The full program runs as live virtual, onsite, or hybrid training, with the same hands-on labs and instructor guidance in every format.
Yes. Onsite delivery is available worldwide. We tailor the labs to your codebase and security policies before the sessions.
The program runs 25 hours across six modules, including five hands-on labs and a capstone delivery sprint. Scheduling is flexible around 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.
Your team starts by using GitHub Copilot productively and learning secure coding, then combines the two. Securing AI-assisted code comes third because developers must know both how assistants work and what safe code looks like, before the practice is built into the wider development lifecycle.
Why Choose Edstellar as Your Secure Coding with AI Coding Assistants Training Provider
Edstellar brings 5+ years of corporate training experience to your secure delivery goals. Your trainer is matched to your stack, with a full profile shared before you book. As a training partner to global teams, we tailor every lab to your codebase and support rollout after the sessions.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every lab is shaped around your stack before delivery, using your languages, assistants, and security policies.
Proven Methodology
5+ years of corporate training experience delivering technical programs to engineering teams worldwide.
Practice-Based Learning
Your team builds in 5 hands-on labs across 6 modules, shipping hardened AI-assisted code.
Expert Trainers
Learn from 5,000+ certified trainers matched to your stack, with full profiles shared before you book.
Global Scale
A single program runs across your regions in hybrid, onsite, or live virtual formats that suit every team.
Measurable Outcomes
From baseline to capstone, we measure review skill gains and report them through the Skills Matrix.
Review AI-Assisted Code With Explicit Security Boundaries and Test Evidence
Edstellar develops secure AI-assisted coding through controlled generation, review, and remediation exercises. Participants examine prompts, generated features, injection risks, and pipeline safeguards before completing a hardened sample feature. Review focuses on independent engineering judgment, meaningful security checks, and evidence that identified weaknesses have been addressed.
- Step 01
Consult
We assess programming familiarity, assistant usage, and review practices to identify gaps in prompt context, generated-code validation, leakage prevention, and security gating.
- Step 02
Plan
Assistant foundations lead into secure prompting, code review and SAST, injection defenses, and CI/CD controls before a complete feature-hardening exercise.
- Step 03
Align
Secure-development expertise supports developers, reviewers, and engineering managers, connecting assistant behavior with their coding knowledge and responsibilities for approving changes.
- Step 04
Customize
A sample login feature and controlled attack cases provide realistic review practice without exposing proprietary code, secrets, or operational application vulnerabilities.
- Step 05
Execute
Participants generate and inspect code, test defensive changes, and build pipeline gates, receiving feedback on security reasoning, prompt boundaries, and verification evidence.
- Step 06
Evaluate
We assess the hardened feature for corrected weaknesses, meaningful review and test results, effective policy checks, and a clear account of residual risks.
Also from Edstellar
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→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?
Secure Coding with AI Coding Assistants 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 Secure Coding with AI Coding Assistants Training for Your Team
Tell us about your team, the AI coding assistants you use, and your security goals. We will arrange a discovery call, tailor the program to your stack, and confirm availability for your preferred dates.