AI for Data Science

Build the data and AI skills that tech employers are actually looking for

The course takes you through two connected learning paths. First, you build a solid data science foundation with Python: cleaning data, running analysis, and creating visualisations. Then you move into AI for Data Science, where you explore machine learning, deep learning, generative AI, NLP, and fine-tuning with real tools used in the industry.

• Work with Python, pandas, and seaborn on data projects
• Train neural networks and build deep learning models
• Apply large language models and generative AI
• Fine-tune models and build applications with RAG
• End with concrete projects you can show in a job interview

Whether you want to work in data analysis, AI development, or machine learning engineering, the course gives you a broad and practical skill set that holds up in a job interview.

Those who want to build practical skills in data science and AI and are ready to work with real tools like Python, machine learning models, and large language models from day one. Those who are looking for a structured path into data and AI work, whether you are coming from a technical background or building your skills from the ground up, and want a digital certificate to document what you have learned.

Python and Data Analysis

• Clean, analyze, and visualize data with Python
• Work with pandas and seaborn for data handling
• Build real-world projects for your portfolio

Generative AI and Large Language Models

• Learn how large language models like GPT are built
• Explore the architecture behind modern AI models
• Use generative AI in a real business context

NLP and Text Analysis

• Analyze text with sentiment analysis and NER
• Work with transformers and attention-based models
• Run NLP tasks: translation, summarization, and more

AI and Machine Learning

• See how AI and machine learning work in practice
• Explore supervised, unsupervised, and deep learning
• Apply AI with an understanding of ethics and limits

Deep Learning and Neural Networks

• Train neural networks to recognize patterns in data
• Work with deep learning models for complex tasks
• Build and experiment with network architectures in Python

Fine-tuning and RAG

• Fine-tune pre-trained models for specific tasks
• Build AI applications using RAG
• Work with Hugging Face to train and deploy models

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