Learn AI Engineering from scratch: LLM APIs, prompt engineering, RAG, AI agents and production best practices. Hands-on English course, updated for 2026.
The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.
Fundamentals of Artificial Intelligence
Machine Learning Essentials
Large Language Models and Modern Architectures
Working with LLM APIs and Integrations
AI Tools for Developers
RAG, Embeddings and Vector Databases
AI Agents and Automation
Evaluation, Testing and AI Security
About the course
A complete, premium AI Engineering course, updated for 2026. Covers the fundamentals of artificial intelligence, machine learning (supervised, unsupervised, deep learning), Large Language Models (GPT-6.1 Sol, Claude Opus 5.5, Gemini 4 Argon), working with LLM APIs, prompt engineering, streaming and function calling, AI tools for developers (Cursor, GitHub Copilot, Claude Code), RAG and vector databases, AI agents with tool use and MCP, evaluation and testing, AI security, cost control in production, plus case studies and hands-on projects.
Who it is for
For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to AI Engineering, on the IT track.
What you need
Beginner level: you do not need prior experience with AI; the course starts from the basics.
The History and Evolution of AI: From Turing to GPT-6 Astra55 min12 questions
Key AI Concepts for Software Engineers55 min12 questions
2
Module 2: Machine Learning Essentials
3 lessons · 2 h 45 min · 36 questions
Supervised Learning: Classification and Regression55 min12 questions
Unsupervised and Reward-Based Learning55 min12 questions
Neural Networks and Deep Learning55 min12 questions
3
Module 3: Large Language Models and Modern Architectures
3 lessons · 2 h 45 min · 36 questions
What Are Large Language Models55 min12 questions
Tokenization and Text Processing55 min12 questions
Transformer Architectures and State-of-the-Art Models in 202655 min12 questions
4
Module 4: Working with LLM APIs and Integrations
3 lessons · 2 h 45 min · 36 questions
Working with LLM APIs: OpenAI, Anthropic and Google55 min12 questions
Prompt Engineering Fundamentals for Developers55 min12 questions
Streaming, Function Calling, and Tool Use55 min12 questions
5
Module 5: AI Tools for Developers
3 lessons · 2 h 45 min · 36 questions
Cursor, GitHub Copilot, and Claude Code: AI-Native IDEs in 202655 min12 questions
AI Code Generation: From Prototype to Production55 min12 questions
Debugging, Refactoring, and Code Review with AI55 min12 questions
6
Module 6: RAG, Embeddings and Vector Databases
3 lessons · 2 h 45 min · 36 questions
Introduction to RAG and Embeddings55 min12 questions
Vector Databases and Semantic Indexing55 min12 questions
Building a Complete RAG System55 min12 questions
7
Module 7: AI Agents and Automation
2 lessons · 1 h 50 min · 24 questions
AI Agents Fundamentals: From Chatbot to Autonomous Agent55 min12 questions
Building Agents with Tool Use and MCP55 min12 questions
8
Module 8: Evaluation, Testing and AI Security
3 lessons · 2 h 45 min · 36 questions
Evaluating and Testing AI Applications55 min12 questions
AI Security: Prompt Injection, Jailbreaking, and Protection55 min12 questions
Cost Control and Optimization in Production55 min12 questions
9
Module 9: Case Studies and Hands-On Projects
2 lessons · 1 h 55 min · 24 questions
Case Study: Building an AI Chatbot for a European SaaS Company55 min12 questions
Hands-On Project: Build Your First AI Application60 min12 questions
10
Module 10: Appendix: Official Resources, 2026 Updates and Learning Paths
2 lessons · 1 h 15 min · 10 questions
Official Resources, 2026 Updates, and Learning Paths40 min5 questions
EU AI Act Compliance for Engineers: Transparency, Literacy, and Risk Frameworks35 min5 questions
11
Module 11: Final Quiz — Introduction to AI Engineering
1 lesson · 1 h · 15 questions
Final Assessment — Introduction to AI Engineering60 min15 questions
By email
Email me the course syllabus
Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.
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How you learn
You read the lesson, ask the AI Professor right on the page and check what you remember.
Lesson 1 · 55 min
What Artificial Intelligence Is in the Real World
An AI demo that impresses in a Friday meeting and an AI system that survives months in production are two completely different things — and the distance between them separates the engineer who "plays with AI" from the one who builds with it. In 2026, AI is no longer a laboratory concept or a science fiction topic: it is infrastructure processing billions of requests daily — from coding assistants like Claude Code and GitHub Copilot, to medical diagnosis and Level 4 autonomous vehicles.
The first lines of lesson 1 of this course.
Read the free preview, no account needed.
You read the lesson at your own pace
Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.
You ask the AI Professor inside the lesson
Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.
You check what you remember
Every lesson has its own quiz, with explanations for the answers: 325 questions across the course. The professor also summarizes the lesson and prepares review flashcards.
You get the Certificate of Completion
Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.
The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.
You leave with proof anyone can check
The Certificate of Completion for “Introduction to AI Engineering”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “Introduction to AI Engineering”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
Anyone can verify it
Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.
You show it where it counts
Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.
It says exactly what it attests
The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.
Pricing
Just this course, or more with this one included
A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal; your progress and certificates stay. Billed monthly or yearly (12 months for the price of 10), in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.
How many courses a month?
This course goes first on your list; you pick the others in your account and can change them at every renewal.
Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.
About the course, the price, the AI Professor and the certificate.
What will I learn in “Introduction to AI Engineering”?
A complete, premium AI Engineering course, updated for 2026. Covers the fundamentals of artificial intelligence, machine learning (supervised, unsupervised, deep learning), Large Language Models (GPT-6.1 Sol, Claude Opus 5.5, Gemini 4 Argon), working with LLM APIs, prompt engineering, streaming and function calling, AI tools for developers (Cursor, GitHub Copilot, Claude Code), RAG and vector databases, AI agents with tool use and MCP, evaluation and testing, AI security, cost control in production, plus case studies and hands-on projects.
The course has 11 modules and 28 lessons, with 325 quiz questions. The full curriculum, module by module, is shown on the course page.
Do I need prior experience for this course?
No. The course is Beginner level and starts from the basics: you do not need prior experience with AI.
How long does the course take?
The estimated duration is about 25 hours, across 28 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.
How much does it cost, and which plan do I need?
This course alone: the 1 course plan, €99 per month. The course fits into every plan of the subscription, next to other courses you choose: for example 3 courses for €199, 10 courses for €319 (recommended) or the full catalog for €499 per month.
You pick your courses after paying and can change them at every renewal; starting from here, this one is already picked. Plans are billed in EUR, monthly or yearly (pay for 10 months, get 12). Every price is a total, with VAT included at the rate of your country. See all plans.
Can I read part of the course before paying?
Yes. You can read a free preview of lesson 1, “What Artificial Intelligence Is in the Real World”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.
How does the AI Professor help me in this course?
The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.
It is included in every plan of your subscription, with a fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.
Do I get a certificate when I finish the course?
When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “Introduction to AI Engineering” from your account, with a unique number, publicly verifiable on the site.
It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.
Does the subscription renew automatically? How do I stop it?
Yes. The subscription renews automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.
You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.
Can my company buy this course for a team?
Yes. With the team library, the company admin picks 3, 5, 10, 15 or 25 courses a month, or the full catalog, for the whole team, from €49 per member per month, excl. VAT, for 5 members or more. A dashboard shows each member’s progress and manages seats centrally. Price it for your team.
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ChatGPT, OpenAI, Claude, Anthropic, Gemini, Google, Microsoft 365 Copilot, Cursor, Midjourney and the other product and company names mentioned are trademarks or trade names of their respective owners. Cursuri-AI.ro is an independent training provider and is not affiliated with, sponsored by or endorsed by any of them.