Convert your developers into AI-augmented engineers in 30 days. Most teams have the tools — few know how to wield them.
Unstructured adoption creates cost risk, inconsistency, and security exposure. We fix that — with structure, governance, and real delivery experience.
Productivity uplift when AI is embedded in the full SDLC — not just used as an autocomplete tool
Anyone who touches the software delivery lifecycle
Buying a Copilot licence isn't a strategy. Without training, you get higher costs, inconsistent quality, and security gaps — not productivity.
Developers lack effective prompt writing skills — AI gives mediocre outputs and engineers blame the tool, not the prompt.
AI tool costs spiral without usage governance. Unoptimized prompts and redundant API calls inflate infrastructure overhead with no proportional value.
The AI tools ecosystem expands weekly — teams can't keep pace. No framework, no selection criteria, no standards.
Unstructured AI adoption creates wildly different practices across the team — security gaps, hallucinated code shipping to production, compliance risk.
We embed AI into every stage of the SDLC — planning, coding, quality, and maintenance. Not just as a coding assistant.
Automate user story generation and technical breakdown. Turn vague requirements into structured, testable work items — in minutes, not hours.
GitHub Copilot and LLM integration for secure development. Write production-quality code faster while catching vulnerabilities before they ship.
AI-driven test case generation and regression testing. Cover edge cases your team would miss — at a fraction of the manual effort.
Agents for ticket analysis, bug fixing, root cause analysis, and test verification — turning L1/L2 support into an automated pipeline.
| Module | Topics Covered | Duration |
|---|---|---|
| Introduction to AI-Enabled SDLC | How AI boosts productivity; common developer mistakes; prompt engineering overview | 1 hr |
| Introduction to Claude | Overview of Claude, capabilities, use cases, ethical AI principles | 1 hr |
| Getting Started | Installation, API access, authentication, environment setup | 1.5 hrs |
| Core Concepts | Prompt engineering, context windows, token limits, response formatting | 2.5 hrs |
| Advanced Prompting | Chain-of-thought prompting, multi-turn conversations, role-based prompts | 2 hrs |
| Integration | Using Claude with Python, JavaScript, and REST APIs; embedding into applications | 2.5 hrs |
| Use Cases | Code generation, summarization, Q&A systems, creative writing, customer support | 2 hrs |
| Testing | Unit testing and E2E testing with AI assistance | 1 hr |
| Best Practices | Safety, bias mitigation, error handling, monitoring outputs, cost governance | 1.5 hrs |
| Hands-on Labs | Building a production-ready application end-to-end | 3 hrs |
| Wrap-up & Q&A | Review, troubleshooting, open questions, next steps | 1 hr |
Not just awareness — applied capability, embedded governance, and measurable uplift.
Measurable improvement in engineering output — less time on boilerplate, more on business logic.
Fewer production defects through AI-augmented review, test generation, and structured code guidance.
A shared playbook for AI usage across your entire engineering org — no more ad-hoc experimentation.
Token-aware prompting habits that prevent cost overruns and protect project margins.
Developers, Business Analysts, QA Engineers — anyone in the software delivery cycle
On-site bootcamp · Live virtual · Hybrid cohort
Book a free 45-minute "Is Your Engineering Team AI Ready?" session. We'll assess your team's current AI readiness and give you a clear action plan — at no cost.
Book Free CTO Session →Let's discuss your team's current state and design a program that delivers measurable results within 30 days.