AI for Beginners
Modules on cloud computing, AI, and data science for university students to gain hands-on experience.
Transform your business with Microsoft AI
Learn how businesses can use AI responsibly and effectively, exploring strategy and Microsoft tools like Azure OpenAI Service.
Intro to SQL: Querying and managing data
Teaches you how to use SQL to store, query, and manipulate data in relational databases.
Intermediate Python
A 4-hour course designed to enhance your Python skills by teaching data visualization with Matplotlib and data manipulation using pandas DataFrames.
Data Manipulation with Pandas
Teaches how to import, clean, and analyze data using pandas DataFrames, covering tasks like filtering, aggregating, and visualizing real-world datasets.
Unsupervised learning in Python
Teaches how to identify natural groupings within data using methods like K-Means and hierarchical clustering.
Supervised Learning with scikit-learn
Teaches how to build predictive models using real-world datasets, covering classification, regression, and model evaluation techniques.
Prompt Engineering for ChatGPT
Learn to create effective prompts for generative AI tools like ChatGPT to enhance applications in business, education, and everyday tasks.
Big Data, Artificial Intelligence, and Ethics
Learn about the ethical challenges of AI and big data through case studies, NLP applications, and examining their impact on society.
AI Infrastructure and Operations Fundamentals
Introduces AI concepts, explores data center and cloud infrastructures, and prepares learners for the NVIDIA-Certified Associate certification.