Transform your love for AI into industry-recognized expertise with an Artificial Intelligence Essentials certificate
Industry-approved curriculum to support your journey into artificial intelligence
This introduction to Python course covers essential programming concepts for data science. You'll learn scripting basics, algorithms, and data structures like tuples and dictionaries, and explore Python libraries and functions. The course ends with a project where you'll develop a Python script to analyze data, preparing you to tackle real-world data science challenges.
What you'll learn:
This course focuses on cloud computing for cost-effective, scalable data processing. You'll master technical components like PySpark to integrate Python, SQL, and Spark for handling structured and semi-structured data. Using libraries such as Numpy, Pandas, and PySpark, you'll work with big data and create stunning visualizations with Python libraries like Seaborn. The course also explores advanced data analysis using generative AI and interactive dashboards, culminating in a project that brings big data to life through visualizations.
What you'll learn:
This course introduces the fundamentals of AI and machine learning, covering core concepts like statistical learning theory and supervised learning. You'll explore models such as logistic regression, decision trees, and support vector machines, and learn to evaluate them using metrics like ROC AUCs. The course concludes with a project where you'll select and deploy the ideal model for a specific task, demonstrating your mastery of the data science pipeline.
What you'll learn:
Once you've completed the essentials program, you'll receive a completion certificate from SMU and a Credly badge to display on your LinkedIn and resume. You'll also be able to move on to the Artificial Intelligence Foundations program to continue building your skillset.
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AI engineers are primarily responsible for developing, testing, and deploying new applications and systems that utilize AI to improve performance and efficiency.
AI Game Engineers is a highly specialized area of game development, it should be seamless and invisible to the player by enhancing the experience on a subliminal level. This area of development is about providing the game with a ‘brain’ that works instinctively and independently based on the individual player’s gameplay.
The Data Analyst serves as a gatekeeper for an organization’s data so stakeholders can understand data and use it to make strategic business decisions.
From day one you'll have access to our student services team — there to answer any questions you have about courses or the enrollment process. Our only mission is to help you achieve life-changing results through our programs. We're dedicated to your educational success, and you’ll never have to do it alone.
Whether you want to build games, design products, prevent the next cyber attack, or create the next internet-breaking AI, we provide the training to bring your ideas to life.
Let's build your future together.