Program Designed and Developed By:
August 12, 2023
November 19, 2023
6-12 hrs per week
Hours of Effort
Why join the No Code AI and Machine Learning Program
Learn from world-renowned MIT faculty
Recorded by the very best, for you to learn at your own pace.
A uniquely crafted no code approach towards mastering Data Science, Machine Learning and AI.
Personalized Mentorship and Support
Live mentorship and guidance from AI and data science practitioners on weekends.
Collaborative yet personalised sessions in small groups.
Practical, Hands-on Training
3+ industry-relevant projects and 15+ real-world case studies.
A powerful e-portfolio for professionals to walk away with.
Live Virtual Sessions from world-renowned MIT Faculty
Personalised mentorship and guidance from data science practitioners
Hands-on training via 6 projects and 1 Capstone
Curriculum covering Machine Learning, Deep Learning, and Python
Unique No Code Approach
There’s a great deal of interest in learning and applying machine learning and AI techniques across various industries. New no-code platforms are designed to allow various industries to create solutions, that would have previously required programming, using intuitive, interactive user interfaces allowing users to quickly classify information, perform data analysis, and create accurate data predictions with models.
Here are some of the tools that you will learn to use in this program.
Rapid Miner makes machine learning processes very reliable, easy, and efficient to use with its vast number of plugins and data analysis techniques. You can do everything from providing multiple datasets to model deployment through this platform.
Ikigai is a no code tool used to build data science workflows and visualizations through modular functional blocks. It helps you drag and drop to build workflows involving different data sources. This tool allows humans to make decisions and then view the results in an AI-charged dashboard/spreadsheet.
Teachable Machine enables professionals to employ cutting-edge technologies like Computer Vision and Deep Learning without having to write a single line of code. Make smart predictions with your customer data and design winning solutions. It also offers good integration with Google Drive and Google’s TensorFlow deep learning library.
Dataiku is a No Code data science platform that enables teams to build data products without coding. It automates the entire data science workflow, from preparation to deployment, using a visual interface and pre-built connectors to data storage systems and cloud platforms.
KNIME is a No Code platform for data analytics that enables visual pipeline building. It features pre-built nodes for processing, analysis, and visualization, and allows drag-and-drop pipeline construction. KNIME also has a marketplace for community-contributed extensions and integrations.