AI and Data Analytics

1. AI Foundations: Build on the fundamentals of AI covered in the foundational course, introducing concepts like machine learning algorithms, model optimization, and AI ethics.

2. Data Science and Big Data: Teach data wrangling, large dataset processing, statistical methods, and data visualization.

3. Deep Learning and Neural Networks: Cover intermediate-level neural networks, natural language processing (NLP), and computer vision applications.

4. Data Analysis with Power BI or Azure Synapse: Use Microsoft tools for data integration, reporting, and analysis to develop practical skills applicable in real-world industry settings.

• You are C1 level in English

• You have completed the AZ-900 exam or AI-900.

• Fundamental knowledge of AI and Data Analysis

• You commit to attend the classes and spend 10 to 15 hours per week to study and complete the course.

This course will prepare you to take two industry recognized certifications from Microsoft. This certification will advance your chance in landing an entry-level job as an AI Engineer, Data Scientist, Machine Learning Engineer, AI Researcher in the Swedish tech-industry.