AI Accelerator Program
Claude Code Mastery: AI-Augmented Software Engineering
Anuj Saini
Director Data Science
RPX CorporationSandeep Singh
Expert Senior Director
Bain & Company
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
- Active Claude subscription (we will provide you)
- VS Code or JetBrains IDE
- Git installed
Meet Your Instructors
Anuj Saini is a Subject Matter Expert in Natural Language Processing (NLP), Search Technologies, Statistics, Analytics, Modelling, Data Science, and Machine Learning, with a strong emphasis on Large Language Models (LLMs) and Generative AI.
Anuj brings extensive experience in developing advanced AI systems, particularly NLP applications using state-of-the-art machine learning techniques across diverse domains such as e-commerce, investment banking, and insurance. His expertise includes cutting-edge AI technologies like ChatGPT, LangChain, LLama2, OpenAI Embeddings, and HuggingFace.
Specializing in building intelligent Chatbots, Recommender Systems, Sentiment Analysis, and Semantic Technologies, Anuj leverages his proficiency in Python to deliver innovative solutions. With a proven track record in designing and implementing sophisticated LLM-driven applications, he is recognized as a leader in the field of Generative AI and NLP.
Sandeep Singh is a passionate leader and expert in Deep Learning and Artificial Intelligence. With a strong background in computer science and extensive experience in machine learning research, he has made significant contributions to the advancement of AI technology.
Sandeep has delivered numerous talks and workshops worldwide, inspiring and educating audiences about AI's potential to revolutionize various industries. As a dedicated mentor, he actively guides aspiring AI professionals and fosters innovation in the field. Currently serving as Expert Senior Director at Bain & Company, Sandeep continues to drive innovation and push the boundaries of AI technology.
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
28 Mar – 3 Apr 2026
Foundations & Advanced Prompt Engineering
28 Mar – 3 Apr 2026
28 Mar · 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
29 Mar · 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
1 Apr · 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.
While the schedule and curriculum are typically fixed, in exceptional circumstances, there may be adjustments. Any changes will be communicated in advance, and we’ll ensure that they don’t affect the core learning objectives. Our main goal is to provide you with a seamless, hands-on learning experience, and we’ll work to maintain that, no matter the adjustments.
