AI Accelerator Program
Claude Code Mastery: AI-Augmented Software Engineering
Ashwin Goyal
AI Product Manager
HRS GroupKartik Nighania
MLOps Engineer
Typewise
About the Course
This is a practical, enterprise-focused program designed to help software engineers use Claude Code as a real development collaborator across the software engineering lifecycle. It focuses on using AI for repository understanding, prompt-driven development, spec-to-code execution, workflow automation, debugging, governance, and deployment in the local environment.
With instructor-led sessions, hands-on labs, and mini project assignments, you will learn how to work with Claude Code inside real repositories, build reliable prompt systems, generate structured outputs, and use AI to accelerate code understanding, testing, and implementation. You will also learn how to design AI-augmented workflows that improve developer productivity while maintaining reliability and control.
You will also learn important enterprise concepts including hooks, governance controls, large codebase strategies, Model Context Protocol (MCP), multi-agent collaboration, reusable Skills, GitHub workflow automation, and Docker-based deployment. These topics are covered with a strong emphasis on auditability, safe adoption, and production-grade engineering practices.
Finally, you will learn how to use AI for debugging, security review, governance documentation, and end-to-end capstone implementation, helping you build and ship AI-augmented software engineering workflows safely in enterprise settings.
Prerequisites
Participants should be comfortable with: Git (basic branching & commits), reading production code, running local. Should have Software development experience and understand basic CI/CD concepts (no hands-on required).
Tools & Platforms
- Claude Code installed
- Claude Pro subscription (to be purchased by the learner)
- VS Code or JetBrains IDE
- Git installed
Meet Your Instructors
Ashwin Goyal is an AI Product Manager at HRS Group, where he leads the Copilot initiative for business travel and manages recommendation engine, rebooking, and intelligent lodging products used by more than 30% of Fortune 500 companies. Over the past few years, he has focused on building agentic and generative AI products, along with data-driven fintech solutions that directly impact revenue and profitability for high-scale businesses and global enterprises.
His work sits at the intersection of product, analytics, and AI. He brings hands-on experience in building AI systems using agents, RAG architectures, and AWS Bedrock, combined with strong product analytics and full lifecycle ownership. He has led products from early problem discovery and PRD creation through launch, go-to-market, and continuous iteration, collaborating closely with engineering, design, data science, and business teams to deliver scalable and commercially impactful solutions.
Kartik Nighania, an esteemed figure in AI, specializes in MLOps and is currently an engineer at Typewise in Europe. With over seven years of industry experience, Kartik's expertise spans diverse domains such as computer vision, reinforcement learning, NLP, and Gen AI systems. Previously, as Head of Engineering of a YCombinator-backed startup, Kartik spearheaded successful ventures in AI focusing on infrastructure scaling, team leadership, and MLOps implementation. His contributions to academia include publications in top journals and projects undertaken for the Government's Ministry of Human Resource Development (MHRD).
Who Should Enroll
- Backend & Frontend Engineers
- DevOps & Platform Engineers
- Tech Leads and Architects
- Engineering Managers driving AI Adoption
Data Professionals & Developers
Seeking hands-on Agentic AI experience with LangGraph & LangChain
ML & GenAI Practitioners
Strengthening portfolios with end-to-end projects
Business Professionals
Applying GenAI & Agentic AI to real-world business problems
Key Features
Live Sessions
4 hours/week
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Projects
10+ Guided Projects
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Assignments
5 Mini-Project Assignments
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Cohort Experience
Discussion forum
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Office Hours
Weekly discussions & QA
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Recordings
Lifetime access
Resources
All session materials
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Certification
Course completion certificate
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Course Curriculum
14 Live Sessions • 28 Learning Hours • 10+ Guided Projects
Week 1Foundations & Advanced Prompt Engineering
16 – 22 May 2026
Foundations & Advanced Prompt Engineering
16 – 22 May 2026
16 May · 2:30-4:30 PM UTC
Mental Models of Claude Code
- How Claude reasons about code internally
- Context window strategies & token budgeting
- Determinism vs randomness in outputs
- Failure taxonomy: hallucinations, incomplete outputs, insecure defaults
- When prompts fail and why
17 May · 2:30-4:30 PM UTC
Advanced Prompt Engineering for Engineers
- Output contracts & structured JSON enforcement
- Defensive prompting techniques
- Prompt versioning for reproducibility
- Self-critique prompts for validation
- Multi-step reasoning workflows
20 May · 2:30-3:30 PM UTC
Week 1 Recap & Discussion (Optional)
Join in to discuss and ask any questions on the content or projects covered in Week 1.
A Message from the Founder
The Vision Behind AI Accelerator Program
Frequently Asked Questions
The AI Accelerator Program is a short, live, cohort-based, instructor-led program designed to upskill professionals in AI through hands-on learning. Within this program, we offer specialized tracks, such as Claude Code Mastery: AI-Augmented Software Engineering, where you'll focus on mastering specific AI skills. You'll learn live with a small group, interact directly with the instructor, and work on real-world projects rather than just watching pre-recorded videos.
This program lasts for 7 weeks, with 4 hours live sessions and 1 hour optional office hour per week, making it manageable alongside your regular job.
Yes, the program includes 10+ guided projects and 5 assignments. Each week, projects will be guided, and solutions for assignments will be provided during office hours. You’ll receive feedback, clarification, and support to ensure you stay on track throughout the program.
It’s fully live. All sessions are conducted in real time on Zoom, with fixed schedules and active participation expected.
Yes! Upon successful completion of all assignments, you’ll receive a Certificate of Achievement. This certificate validates your hands-on expertise in applying AI concepts in practical settings.
Absolutely! This particular program is designed to equip you with the skills to use Claude Code as a production-grade AI engineering partner, which you can immediately apply to your current projects or job responsibilities.
If you miss a live session, don’t worry! You’ll receive the recordings and resources used in the session as downloadable files, which you can keep and watch at your convenience. You’ll have 1 month to download the recordings and resources from the date the link is shared. However, we encourage you to attend live to maximize engagement and learning.
Yes, we offer a 7-day money-back guarantee. The 7-day period starts on Day 1 of your cohort and ends one day before the third live session. If you’re not satisfied with the program within this window, you can request a refund by contacting our support team at [email protected]. T&Cs.
The schedule and curriculum are usually fixed, but they may change if there are new developments in technology. If something important comes up, we may update the content to keep it relevant. In rare cases, the schedule may also be adjusted. If there are any changes, we will inform you in advance and make sure your core learning is not affected. Our goal is to give you a smooth, hands-on learning experience throughout.
