Comprehensive AI & Prompt Engineering Bootcamp for Software Developers

Unlock the power of AI in your software projects. This 10‑module bootcamp equips developers with practical skills— from understanding generative AI and Large Language Models (LLMs) to crafting high‑impact prompts and leveraging AI‑powered coding tools. Whether you’re automating code reviews, generating tests, or prototyping new features, you’ll gain hands‑on experience to integrate AI seamlessly into your full software development lifecycle (SDLC).

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📅 New batch starts every Monday!

Duration (2 Weeks)

Weekdays

Monday to Friday · 1 Hour per Day

+ 1 Bonus hour on Friday

Weekends

Saturday & Sunday · 5 Hours per Day

Bootcamp Modules

Module 1: The AI Imperative for Developers

The impact of AI across planning, coding, testing, and deployment
What “vibe coding” means—and its limits
Realistic expectations: what AI can and can’t do
Quick exercise: assess AI readiness in your current workflow

Module 2: Foundations of Generative AI & LLMs

AI vs. machine learning vs. deep learning
How Transformers, tokenization, and context windows work
From input to output: prediction and generation explained
Survey of top LLMs for coding assistance
Hands‑on: query an open‑source LLM for a simple code snippet

Module 3: Essential Prompt Engineering Techniques

Anatomy of an effective prompt: instructions, context, examples
Why prompt engineering drives AI accuracy
Introducing the RECAST framework for prompt design
Workshop: write, test, and refine your first prompt

Module 4: Advanced Prompt Strategies

Zero‑shot, one‑shot, and few‑shot prompting
Chain‑of‑thought & tree‑of‑thought methods
Iterative prompting: refine responses in a loop
Building reusable prompt templates and parameter sets
Lab: solve a multi‑step coding challenge using chain‑of‑thought

Module 5: AI‑Powered Development Tools

Coding assistants: GitHub Copilot, ChatGPT, Claude, Cursor
Web‑based AI platforms: V0, Loveable, and alternatives
Integrating AI via APIs: authentication, rate limits, error handling
Best practices for secrets management and IP protection
Exercise: connect to an AI API and generate boilerplate code

Module 6: AI‑Driven Feature Development & Refactoring

Scaffolding new modules and generating boilerplate
Automated refactoring: bulk updates and dependency upgrades
Generating unit tests, integration tests, and mock data
Challenge: refactor legacy code using AI prompts

Module 7: Automated Code Review & Debugging with AI

Prompt patterns for bug triage and root‑cause analysis
Reviewing pull requests: enforcing style and standards
Handling false positives and knowing when to trust AI
Hands‑on: review a sample pull request with AI guidance

Module 8: Beyond Code – Documentation, Design & Research

Auto‑generating README files, API docs, and inline comments
Translating technical content for non‑technical stakeholders
AI‑powered design ideation and architecture sketches
Rapid prototyping and proof‑of‑concept generation
Workshop: create full API documentation from code

Module 9: Best Practices, Ethics & Responsible AI Use

Version control and testing for prompts
Mitigating hallucinations and bias in AI outputs
Data privacy, IP considerations, and compliance
Responsible use cases and governance frameworks

Module 10: Future Trends & Next Steps

On‑device AI models and multimodal applications
Emerging AI tools and platforms to watch
Building an AI learning roadmap for your team
Final Q&A, certification requirements, and resources

Ready to Get Started?

Join our bootcamp and master AI & Prompt Engineering for software development.

$499

$1999

for a limited time

Your Instructors

Meet Your Instructors

John Godel

John Godel is the President and CEO of AlpineGate AI Technologies Inc., where he leads the development of advanced artificial intelligence solutions. Under his leadership, the company has introduced innovative products like AGImageAI, which enhances image recognition capabilities across multiple industries such as e-commerce, healthcare, and security, and AlbertAGPT, a state-of-the-art natural language processing and AI interpretability tool. Godel's vision has positioned AlpineGate AI at the forefront of AI technology, focusing on making AI systems more transparent, understandable, and reliable. His work ensures that AI models can be effectively utilized while maintaining ethical standards and operational transparency.

35k+

Students taught

28k+

Students placed

30+

Years of experience

Mahesh Chand

Mahesh Chand is an architect based in Philadelphia, Pennsylvania. He is the Microsoft Regional Director, founder of C# Corner, and CEO of Mindcracker Inc. At Mindcracker Inc., he advises technical teams on building better software through architecture, design, usability, innovation, and mentoring. His expertise includes C#/.NET, UWP, Mixed-Reality, AI/ML, Cloud, Startups, and Innovation. As the founder of C# Corner, he enjoys developing new features to help developers improve their coding skills. He loves philosophy, cognitive studies, community work, public speaking, writing, basketball, and the Philadelphia Eagles.

25k+

Students taught

24k+

Students placed

25+

Years of experience

Frequently Asked Questions

Is this bootcamp for me?

Yes, if you're a developer looking to master AI and prompt engineering for real-world software projects. Prior coding experience is recommended.

Do I need prior AI experience?

No prior AI experience is required. We start from the fundamentals and progress to advanced techniques.

What will I be able to do after this?

You'll be able to integrate AI into your development workflow, automate tasks, and leverage advanced prompting for coding, testing, and documentation.

What if I miss a session?

All sessions are recorded. You'll get lifetime access to all recordings and resources.

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