AI+ Developer

The course is built as a complete path through professional AI development. You start with Python and the mathematics behind modern AI, then move through machine learning, deep learning, computer vision, NLP and large language models. The final tracks cover cloud deployment and the tools developers use to build and ship AI today.

• Build and train ML models with real-world data and libraries
• Work with neural networks, object detection and GANs
• Explore transformer architectures and LLM internals
• Deploy AI models to the cloud with scalable infrastructure
• Work with AI coding assistants, Codex CLI and prompt engineering

The course concludes with an exam. Included is one free attempt at the AI+ Developer certification, a documented and verifiable proof of your skills that carries weight in a job application.

• Want to build a career in AI development and are ready to go beyond using AI tools to actually building and deploying them.
• Have some programming experience or a technical background and want a structured path to professional AI development – ending with a recognised certification.

Programming Foundations and Math

• Learn to think and code like a developer from the ground up
• Work with linear algebra, calculus, and probability for AI
• Build a solid foundation before moving into machine learning

Deep Learning and Computer Vision

• Design and train neural networks for complex tasks
• Work with object detection, image segmentation, and GANs
• Evaluate and tune AI models with hands-on projects

Cloud Deployment and Advanced AI

• Deploy AI models to the cloud with scalable infrastructure
• Work with time-series analysis and model explainability (XAI)
• Explore Reinforcement Learning and cutting-edge AI research

Python and Machine Learning

• Build Python solutions with real-world data and libraries
• Train and evaluate supervised and unsupervised ML models
• Optimize model performance and apply algorithm selection

NLP and Large Language Models

• Preprocess text and build classification and NER systems
• Work with transformer models and attention-based architectures
• Understand the architecture behind LLMs and text generation

AI Development Tools and Certification

• Work with AI coding assistants, Codex CLI, and prompt engineering
• Pass the online proctored exam with one free retake
• Earn the AI+ Developer certification upon completion

Partner:

Nova Learning skaber adgang til de bedste ressourcer inden for læring: e-learning, mentorordning, eksamenssimulering og virtuelle labs. Alle e-learning kurser er tilpasset og målrettet mod certificeringer og/eller rettet mod jobs inden for de nyeste teknologier. Herunder Artificial Intelligence, Machine Learning & Data Science.

Kurset er på følgende positivlister:

• Hovedstaden
• Nordjylland
• Sjælland
• Midtjylland
• Syddanmark