Option 1: Natural Language Processing (NLP)
In this course, you will be given a thorough overview of Natural Language Processing and how to use classic machine learning methods.
Option 2: Speech Recognition Systems
Learn about the pieces of a modern automatic speech recognition (ASR) system as we cover fundamental acoustic and linguistic theory, data preparation, language modeling, acoustic modeling, and decoding.
Option 3: Computer Vision and Image Analysis
A deep dive into Computer Vision, Image Analysis and Semantic Segmentation using the Microsoft Cognitive Toolkit.
Option 1: Analyzing and Visualizing Data with Excel
Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis.
Option 2: Analyzing and Visualizing Data with Power BI
Learn how to connect and visualize your data with Microsoft Power BI. Find out how to import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Create dashboards and share with business users on the web and on mobile devices.
Option 1: Introduction to R for Data Science
Learn the R statistical programming language, the tool of choice for data science professionals. Discover its basic syntax, starting with variables and basic operations, and then learn how to handle data structures, such as vectors, matrices, data frames, and lists.
Option 2: Introduction to Python for Data Science
Learn the basics of Python, including simple arithmetic operations, variables, and data structures. Explore Python functions and control flow, and create your own visualizations based on real data.
Option 1: Essential Math for Machine Learning: R Edition
Learn the essential mathematical foundations for machine learning and artificial intelligence using R. The couse focuses on mathematical concepts that you’ll encounter in studies of machine learning.
Option 2: Essential Math for Machine Learning: Python Edition
Learn the essential mathematical foundations for machine learning and artificial intelligence using Python. The couse focuses on mathematical concepts that you’ll encounter in studies of machine learning.
Option 1: Data Science Research Methods: R Edition
Learn the essential skills and hands-on experience with the science and research aspects of data science work using R, from setting up a proper data study to making valid claims and inferences from data experiments.
Option 2: Data Science Research Methods: Python Edition
Learn the essential skills and hands-on experience with the science and research aspects of data science work using Python, from setting up a proper data study to making valid claims and inferences from data experiments.
Option 1: Principles of Machine Learning: R Edition
Get hands-on experience building and deriving insights from machine learning models using R and Azure Notebooks.
Option 2: Principles of Machine Learning: Python Edition
Get hands-on experience building and deriving insights from machine learning models using Python and Azure Notebooks.
Option 1: Developing Big Data Solutions with Azure Machine Learning
Learn how to build predictive web services for Big Data workflows using Azure Machine Learning.
Option 2: Implementing Predictive Solutions with Spark in HDInsight
Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Find out how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python, Scala, and R with Apache Spark.
Option 3: Analyzing Big Data with Microsoft R
Learn how to use Microsoft R to analyze large datasets using R, one of the most powerful programming languages.
Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade. Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Data Science.
The AI Academy will offer a blended-learning training program where the online programme material is enhanced with workshops and support from Bahrain Polytechnic. The online material is aligned to Microsoft’s Professional Certification. Students who complete an AI Academy program, will receive the equivalent professional certification, as well as a certificate of attendance by Bahrain Polytechnic succesfully completing the capstone project.
Facilitators and academic members from Bahrain Polytechnic will utilise a dashboard that captures students’ progress, allowing them to follow-up with students who are not making the required advancement and need added support. The blended-learning model will also include a monthly workshop, held on a Friday or Saturday. During this workshop, all attending students will receive support from a professional subject matter expert. The workshop will allow face to face group discussions on progress and ensure learners have their issues addressed or questions answered. It will also allow students to share ideas and work together towards the project phase of the program. Students will have a Cloud subscription valid up to 1 year to complete the selected programme. The online portion of the training is 100% self-paced using the official Microsoft online courses. The blended learning model will ensure that the students are making constant progression and achieve their certification.
Tamkeen-funded students will be asked to sign an agreement document with Bahrain Polytechnic.
For active University or High School Students or registered Jobseekers:
For active University or High School Teachers:
For anyone not in the above two categories (1),(2):
AI technology advances rapidly and new tools are continuously emerging. Having a theoretical background in AI is the first key productivity element in modern top technical jobs—technical skills, but having practical knowledge of the state-of-the-art AI tools is key to be efficient and effective in the emerging IT world.
After successfully completing the chosen track courses by passing the individual assessments, you will apply in practice your newly acquired skills in a real-world problem during the final Capstone course. Upon completion of the capstone course, you shall receive an attendance certificate from Bahrain Polytechnic as well as the corresponding Microsoft Professional Program title.
IDC predicts spending on cognitive and AI systems will reach $77.6 Billions in 2022, more than three times the $24.0 Billions forecast for 2018.
According to Gartner, AI will create more half a million jobs more than it will replace.