Artificial Intelligence and Machine Learning are shaping the future, and now you can be a part of it—without writing a single line of code! This course is designed for everyone, regardless of technical background, empowering you to build AI and data science solutions using a no-code approach.
Through interactive modules, you'll explore the fundamentals of AI, dive into data engineering, and harness the power of machine learning—all using Momentum, a cutting-edge no-code AI platform. You'll learn to ingest and transform data, build end-to-end pipelines, visualize insights with business intelligence tools, and deploy machine learning models for real-world applications.
The course details:
- Introduction to Data Engineering
- Ingesting Data
- SQL: An Essential Skill for Data Engineering
- Introduction to Data Transformation
- Multistep Transformation to Create Training and Test Sets for ML
- Exploratory Data Analysis (EDA)
- Data Lake, Data Warehouse and Emitter
- Creating an End-to-End Data Pipeline
- Introduction to AutoML
- Training, Testing and Deploying Supervised Regression AutoML
- Training, Testing and Deploying Supervised Classification AutoML
- Training, Testing and Deploying Unsupervised Clustering AutoML
- Training, Testing and Deploying Anomaly Detection AutoML
- Training, Testing and Deploying Timeseries AutoML
- Training, Testing and Deployment of Deep Learning Classification Model
- Training, Testing and Deployment of Deep Learning Regression Model
- Training, Testing and Deployment of Unspupervised K-Means Model
- Training, Testing and Deployment of Recommender System
- MLOps
- Machine Learning Pipeline: Developing End to End Solution