🤖 3 Complete Tech Guides · 700+ Pages

Master Generative AI
from the inside out

Three expert-level ebooks covering AI Engineering, GenAI for Business Analysts, and DevOps & Cloud. Practical knowledge, real projects, production-ready techniques.

✓53 chapters across both books — zero filler, all signal
✓Hands-on projects: chatbots, RAG systems, fine-tuning, AI agents
✓Business strategy, GenAI governance, ethics and compliance
✓Instant PDF download — read on any device
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🔒 30-day money-back guarantee
The AI Engineer's Complete Guide
AI ENGINEER
Business Analyst GenAI Complete Guide
BA · GenAI
DevOps Complete Guide
DEVOPS
700+
Pages of knowledge
80+
Chapters total
3
Complete guides
PDF
Instant download
Who is this for?

Choose your path into AI

Whether you build AI systems from scratch or lead their adoption inside organisations — there's a complete guide for you.

👨‍💻

Software Developers & Engineers

You want to transition into AI engineering — building LLM pipelines, RAG systems, and production AI agents. The AI Engineer's Guide is your complete roadmap.

📊

Business Analysts & Product Owners

You work with technical teams and need to understand GenAI, write requirements, and manage AI deployments. BA GenAI Guide was built for exactly this.

⚙️

DevOps & Cloud Engineers

You want to master the modern DevOps stack — containers, IaC, CI/CD and multi-cloud. The DevOps Complete Guide takes you from Linux basics to production-grade infrastructure.

🚀

Career Changers Moving into Tech

You want to pivot into one of the most in-demand specialisations in tech. All three books give you the foundations and practical projects to build your portfolio.

The Books

Two complete, standalone guides

Buy one or both. Each book is a full, self-contained resource. Together they cover the full spectrum of AI — from engineering to business strategy.

The AI Engineer's Complete Guide
🤖 For AI Engineers

The AI Engineer's Complete Guide

Generative AI, LLMs & Modern Machine Learning Engineering. From ML fundamentals to production-grade AI systems — 29 chapters across 7 parts.

✓ML fundamentals, Deep Learning, NLP and LLMs
✓Prompt engineering, fine-tuning (LoRA, QLoRA, PEFT), RAG
✓Building AI agents and integrating LLMs into web apps
✓MLOps, model deployment, cost optimisation, monitoring
✓Security — hallucinations, prompt injection, responsible AI
✓4 practical projects ready for your portfolio
📄 PDF 🇬🇧 English 29 chapters ⚡ Instant access
$33 $59 Save 44%
Buy AI Engineer Guide →
Business Analyst GenAI Complete Guide
📊 For Business Analysts

Business Analyst GenAI: The Complete Guide

GenAI Strategy, Requirements & Governance for Business Analysts. From understanding AI to leading deployments — 24 chapters plus appendices.

✓How LLMs and GenAI models work — no code required
✓Identifying processes for AI automation
✓Writing requirements for GenAI projects
✓Prompt design for business, model quality evaluation
✓Risk management, ethics, and regulatory compliance
✓4 real-world enterprise case studies
📄 PDF 🇬🇧 English 24 chapters ⚡ Instant access
$25 $49 Save 49%
Buy BA GenAI Guide →
DevOps & System Administration Complete Guide
⚙️ For DevOps Engineers

DevOps & System Administration: The Complete Guide

Linux, Docker, Kubernetes, Terraform, CI/CD, Cloud & DevSecOps. From foundations to production infrastructure — 197 pages across 7 parts.

✓Linux, networking fundamentals & system hardening
✓Docker, Kubernetes, Helm — containers in production
✓Terraform, Ansible — Infrastructure as Code
✓CI/CD pipelines, GitOps, platform engineering
✓AWS, GCP, Azure — multi-cloud architecture
✓Monitoring, observability, SRE & DevSecOps
📄 PDF 🇬🇧 English 197 pages ⚡ Instant access
$12.29 $24 Save 49%
Buy DevOps Guide →
Best Value

Complete Bundle — Both Books

Save $15 and get the full picture of AI — technical mastery and business strategy in one purchase.

🔥 Best Deal — All 3 Books · Save $15

Complete Tech Bundle

AI Engineer + Business Analyst GenAI + DevOps Complete Guide

AI Engineer Guide BA GenAI Guide DevOps Guide
$55
$70 separately You save $15
  • ✓The AI Engineer's Complete Guide (PDF) — 29 chapters, ML to MLOps
  • ✓Business Analyst GenAI Guide (PDF) — 24 chapters, strategy to governance
  • ✓DevOps & System Administration Guide (PDF) — Linux, K8s, Terraform, CI/CD, Cloud
  • ✓700+ pages of practical, production-ready knowledge
  • ✓Portfolio projects: chatbot, RAG system, fine-tuning, web integration
  • ✓BA Prompt Library + GenAI terminology glossary
  • ✓Instant download after purchase — read on any device, no DRM
Get the Bundle for $55 — Save $15 →
🛡️ 30-day money-back guarantee · No questions asked
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What's Inside

A look at both books

Both books are comprehensive, current and packed with practical examples. Here's a high-level view of each.

AI Engineer

The AI Engineer's Complete Guide

I

Introduction to AI Engineering

Role overview, AI vs. ML Engineer, career path and competencies

II

Foundations of AI

ML fundamentals, deep learning, NLP, large language models

III

Generative AI

Generative models, Transformers, prompt engineering, fine-tuning

IV

Working with LLMs

Model selection, LLM pipelines, RAG, AI agents, evaluation

V

Infrastructure & MLOps

MLOps, experiment management, deployment, cost and performance

VI

Security & Ethics

Hallucinations, prompt injection attacks, responsible deployment

VII

Practical Projects

Build a chatbot, RAG system, fine-tune a model, integrate into web

BA GenAI

Business Analyst GenAI: The Complete Guide

I

Introduction to the Role

Who is a BA GenAI, business and technical competencies

II

AI Fundamentals for Analysts

How LLMs work, generative models in business, typical applications

III

Business Needs Analysis

Process identification, gap analysis, GenAI requirements

IV

Designing GenAI Solutions

RAG in practice, model evaluation, business prompt design

V

Implementing GenAI

Working with tech teams, project management, documentation

VI

Risks, Ethics & Compliance

Legal risks, data security, responsible AI implementation

VII

Case Studies

Customer service, analytics, internal AI assistants, HR & sales

DevOps

DevOps & System Administration: The Complete Guide

I

Foundations

DevOps principles, Linux for DevOps, networking fundamentals

II

Tooling

Git, Docker, Kubernetes, Helm — containers in production

III

Infrastructure as Code

Terraform, Ansible — automating infrastructure at scale

IV

CI/CD & GitOps

Jenkins, GitHub Actions, ArgoCD, deployment pipelines

V

Cloud Platforms

AWS, GCP, Azure — architecture, services, multi-cloud

VI

Monitoring & Observability

Prometheus, Grafana, ELK stack, SRE practices

VII

DevSecOps & Platform Eng.

Security pipelines, hardening, platform engineering

Reviews

What readers are saying

★★★★★

"The AI Engineer guide is exactly what I needed to transition from backend dev to AI engineer. The RAG and fine-tuning chapters are gold — practical, no fluff, real techniques I applied immediately."

MK
Michael K.
Senior Backend Dev → AI Engineer
✓ Verified purchase
★★★★★

"As a BA on GenAI projects, I was always lost in technical discussions. After reading the BA GenAI guide, I can now confidently lead AI requirement sessions and actually understand what engineers are building."

AS
Anna S.
Senior Business Analyst
✓ Verified purchase
★★★★★

"Bought the bundle — best decision. Both books complement each other perfectly. I now understand the full picture of AI: the technical architecture and the business strategy. Worth every penny."

PT
Peter T.
AI Product Owner
✓ Verified purchase
FAQ

Frequently asked questions

Both books are available as PDF. You can read them on any device — laptop, tablet, or phone — and print them if you prefer. No DRM restrictions.
Immediately. As soon as your payment is confirmed, you'll receive an email with your download link. You can start reading within minutes.
The AI Engineer guide assumes basic Python knowledge. The BA GenAI guide requires zero technical background — it's written specifically for business professionals who work alongside technical teams.
You have 30 days to decide. If for any reason the book didn't meet your expectations, contact us and we'll refund 100% of your purchase. No questions asked.
Yes. The AI space moves fast, so we regularly update both books with new models, tools, and techniques. All future updates are free for existing buyers.
Absolutely. Each book is sold separately. If you buy individually and later want the other, just purchase it — though the bundle saves you the most.

Start today.
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Two complete guides to Generative AI — for engineers and analysts. Get the knowledge that matters most right now in tech.

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