Course Learning Objectives
AI, Analytics & Cloud Computing are changing the world. Not only in terms of how organizations compete but also on how they are organized internally. Knowing the essentials of Machine Learning and Cloud is becoming very fast a requirement for anybody, as spreadsheets were in the 80's. Both are transversal technologies that impact any sector. This course is a mix between discussing the implications of AI & Cloud for organizations together with real hands on experience in Machine Learning, Visualization and Cloud Computing.
In Machine Learning we will work with both Python and BigML (for the ones that don't know Python). In visualization we will work with Tableau and in Cloud this course will prepare you for the AWS Cloud Practitioner Certification (https://aws.amazon.com/certification/certified-cloud-practitioner).
1. Business in the Era of AI & Big Data. How AI & Big Data are changing industries and what is next.
2. Causality - AI & Machine Learning. An intro to Causality and AI, positioning Machine Learning as part of AI.
3. ML - Data Trees & Random Forests. Data Trees and Random Forest will be our first algorithms with Python and BigML.
4. ML - Regressions, Clustering & Association Rules. Hands on with Python and BigML.
5. ML - Deep Learning. An overview of Deep Learning with BigML and cases in class.
6. Recommender Systems. A look to Recommender Systems with an in deep case of its use.
7. Visualization & Tableau. Hands-on with Tableau.
8. Infrastructure as Code. How Cloud computing changed Venture Capital, Startups, made Data Centers obsolete and brought companies to a new level of competition.
9. AWS - Cloud Practitioner Certification.
