From Software Engineer to AI Engineer: Building LLM-Powered Applications

Mastering Large Language Models: From Theory to Production

The Definitive Guide to Building and Scaling AI Applications

This comprehensive ebook is designed for software engineers transitioning to AI, data scientists working with LLMs, and technical leaders implementing AI solutions. It provides a structured, in-depth approach to developing, optimizing, and deploying Large Language Model (LLM) applications in real-world environments.

What You Will Learn

1. Foundational Knowledge

- Core architecture of transformer-based models

- Differences between prompt engineering and fine-tuning

- How to select the right model for your use case

2. Building Production Applications

- Step-by-step development of chatbots, RAG systems, and multi-agent workflows

- API integration patterns with OpenAI, Anthropic, and open-source models

- Context management and conversation state handling

3. Optimization and Scaling

- Techniques to reduce latency and improve throughput

- Cost-effective token and GPU management

- Load balancing and distributed inference

4. Security and Reliability

- Preventing prompt injections and adversarial attacks

- Implementing audit trails and compliance logging

- Monitoring and observability for AI systems

5. Advanced Deployment

- Fine-tuning and customizing models for domain-specific tasks

- Multimodal AI (text, images, audio)

- Kubernetes, Terraform, and MLOps best practices

Why This Book?

- Hands-on Code Examples – Ready-to-use Python snippets for real-world implementation.

- Production Case Studies – Lessons from deployed AI systems across industries.

- Best Practices Checklists – Avoid common pitfalls in scaling and security.

- Career Growth Guidance – Skill-building roadmap for AI engineers.

Who Should Read This?

- Software Engineers moving into AI/ML roles

- Data Scientists expanding into LLM deployment

- Technical Leaders overseeing AI product development

- MLOps Engineers optimizing inference pipelines

Get Started Today

Equip yourself with the knowledge to design, build, and scale enterprise-grade LLM applications. Whether you're prototyping your first AI assistant or optimizing a high-traffic inference system, this book provides the practical expertise you need.

[I want this ] – Instant PDF download with full code access.