New: AI Ready program -- make your team AI-competent in 10 days View 5 courses
Enterprise AI Upskilling

Make your team AI Ready in 10 days

5 role-specific courses that turn AI anxiety into AI competence. Each course is 2 days, hands-on, and designed to make your engineers better with AI -- not replaced by it.

5
Role-specific courses
10
Total days
300
Assessment MCQs
30
Hands-on labs
Discuss for your team View all 5 courses

Every role has a different AI fear. Each course addresses it directly.

💻

Developer

"AI will write my code better than me"

Developers who use AI ship 2-3x faster. The fear is valid -- the answer is becoming the human who steers it.

🔎

Test Engineer

"AI will auto-test everything and I'll be redundant"

Someone still designs what to test, interprets failures, and owns quality. AI just executes faster.

DevOps Engineer

"AI will automate my entire pipeline"

AI needs a human to govern it, own the runbooks, and respond when it fails. The role evolves, not disappears.

☁️

Cloud Engineer

"AI will design infrastructure itself"

AWS/Azure/GCP AI tools still need someone who understands cost, security, and compliance.

The 5-course AI Ready curriculum

One 2-day course per role. Same Learnlytica structure. No abstract theory -- Day 1 is tools, Day 2 is building something real.

Developer · ARD

AI-Augmented Developer

"Copilot will replace me."

The answer: Developers who use AI ship 2-3x faster. This course makes you the engineer who steers AI, not competes with it. You'll leave writing better code faster than anyone who doesn't use these tools.

Day 1 Understand + Adopt

  • What AI can and cannot replace in development
  • Hands-on with GitHub Copilot and Claude for code
  • Prompt engineering for Python/Java/JavaScript
  • Before/after workflow comparison lab
  • Assessment: AI readiness baseline

Day 2 Build + Deploy

  • Build full AI-assisted feature: plan, code, test, PR
  • AI-powered code review workflows
  • Ethics, safety, and quality guardrails
  • Capstone: AI-powered project delivery
  • Assessment: AI competency certification
GitHub Copilot Claude Prompt Eng. Code Review
Test Engineer · ARQ

AI-Powered Quality Engineer

"AI will auto-test everything and I'll be redundant."

The answer: Someone still has to design what to test, interpret failures, and own quality -- AI just executes faster. This course makes you the quality leader who leverages AI, not fears it.

Day 1 Understand + Adopt

  • What AI can and cannot replace in testing
  • Hands-on: AI test generation with Copilot and Testim
  • Playwright AI and intelligent test authoring
  • Before/after test coverage comparison lab
  • Assessment: AI readiness baseline

Day 2 Build + Deploy

  • Build a self-healing test suite for a real app
  • AI-powered defect triage and root cause analysis
  • Integrate AI testing into CI/CD pipelines
  • Capstone: Intelligent QA pipeline
  • Assessment: AI competency certification
Copilot Testim Playwright AI Self-healing
DevOps Engineer · ARO

AI-Driven DevOps Engineer

"AIOps will automate my entire pipeline."

The answer: AI needs a human to govern it, own the runbooks, and respond when it fails. This course makes you the engineer who builds intelligent, self-healing infrastructure with human-in-the-loop oversight.

Day 1 Understand + Adopt

  • What AI can and cannot replace in DevOps
  • Intelligent CI/CD with GitHub Actions AI and Harness
  • AIOps tools: Dynatrace, Moogsoft, PagerDuty AI
  • Before/after pipeline efficiency lab
  • Assessment: AI readiness baseline

Day 2 Build + Deploy

  • Build AI-monitored deployment pipeline
  • Auto-remediation with human escalation gates
  • Intelligent alerting and noise reduction
  • Capstone: Self-healing infrastructure
  • Assessment: AI competency certification
AIOps GitHub Actions Dynatrace Auto-remediation
Cloud Engineer · ARC

AI-Native Cloud Engineer

"AI will design infrastructure itself."

The answer: AWS/Azure/GCP AI tools still need someone who understands cost, security, and compliance. This course makes you the architect who uses AI to design better, faster, and cheaper -- while keeping governance intact.

Day 1 Understand + Adopt

  • What AI can and cannot replace in cloud engineering
  • AI infra assistants: CodeWhisperer, Terraform Copilot
  • Cloud AI advisory tools and cost optimization
  • Before/after architecture design lab
  • Assessment: AI readiness baseline

Day 2 Build + Deploy

  • Design AI-optimised cloud architecture
  • FinOps with AI-powered cost intelligence
  • Intelligent auto-scaling and capacity planning
  • Capstone: AI-native infrastructure project
  • Assessment: AI competency certification
CodeWhisperer Terraform Copilot FinOps AI Advisors
All Tech Roles · ARP

AI Productivity for Tech Teams

"I don't know how to keep up with all these tools."

The answer: You don't need to master every AI tool -- you need a personal system for the 3-4 that matter most for your daily work. Every participant leaves with their own AI-augmented workflow and prompt library.

Day 1 Understand + Adopt

  • ChatGPT, Claude, and Copilot for daily work
  • AI for writing, analysis, meetings, documentation
  • Prompt engineering for non-developers
  • Before/after productivity comparison lab
  • Assessment: AI readiness baseline

Day 2 Build + Deploy

  • Build personal AI workflows for your role
  • Create team-specific prompt libraries
  • Ethics, privacy, and responsible AI use
  • Capstone: AI-augmented daily routine
  • Assessment: AI competency certification
ChatGPT Claude Copilot Prompt Library

What every course delivers

6
Modules per course
6
Hands-on labs per course
60
MCQ assessments per course
8
Slide decks per course
2
Student guides (PDF)
6/6
Labs validated on platform

Why enterprises are doing this now

Attrition risk is real

Engineers who feel left behind by AI are 3x more likely to leave. Training signals investment in their growth and reduces voluntary attrition.

Productivity gap is widening

Teams using AI tools are shipping 40-60% faster. Every month without AI upskilling widens the gap between your team and the competition.

Generic training doesn't stick

A developer and a DevOps engineer need different AI skills. Role-specific training ensures relevance and immediate application on the job.

10 days, not 10 weeks

Each course is 2 days. Run them in parallel across roles or sequentially. Your entire engineering org can be AI-ready within a quarter.

Make your engineering team AI Ready

Tell us your team size, roles, and timeline. We'll scope the right combination of courses and delivery format.

Chat with us