Machine learning engineering for production refers to the tools, techniques, and practical experiences that transform theoretical ML knowledge into a production-ready skillset.
This course covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modelling, production systems need to handle relentless evolving data. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently.
In this Specialization, you will become familiar with the capabilities, challenges, and consequences of machine learning engineering in production. By the end, you will be ready to employ your new production-ready skills to participate in the development of leading-edge AI technology to solve real-world problems.
Course content
Introduction to ML workflow and the need for Pipelines
- Create new models, don’t get stuck maintaining Existing Models
- Preventing and Debugging Errors
- Audit Trail
- Standardization
Introduction to Tensorflow Extended (TFX)
- How to install TFX
- Fundamental concepts
- Apache Beam
- Airflow or Kubeflow Pipelines.
Data Ingestion using TFX
- Ingesting local data files
- Ingesting remote data files
- Ingesting directly from databases (Google BigQuery, Presto)
- Splitting the data into train and eval files
- Spanning the datasets
- Versioning
- Working with unstructured data (image, text etc)
Data Validation using TFDV
- The data in the pipeline is in line with what the feature engineering step expects
- Assists in comparing multiple datasets
- Identifies if the data changes over time
- Identify the schema of the underlying data
- Identify data skew and data shift
Data PreProcessing using TFT
- Efficiently preprocessing the data within the context of the entirety of the dataset
- The ability to scale the data preprocessing steps efficiently
- Develop immunity to potentially encountering training-serving skew
Model Training using TFX
Model Analysis and Evaluation using TFX
- How to analyse a single model using TFMA
- How to analyse multiple models using TFMA
- Checking for fairness among models
- Apply decision thresholds with fairness indicators
- Tackling model explainability
- Using the TFX components Resolver, Evaluator and Pusher to analyze models automatically
Model Deployment using Tensorflow Serving
- How to export models for TF (TensorFlow) Serving
- Signatures of Models
- How to inspect exported models
- Set up of TF Serving
- How to configure a TF Server
- gRPC vs REST API architecture
- How to make predictions from a model server using
- gRPC
- REST
- Conduct A/B testing using TF Serving
- Seeking model metadata from the model server using
- gRPC
- REST
- How to configure batch inference requests
The orchestration pipelines – Apache Beam, Apache Airflow and Kubeflow
- Decide upon the orchestration tool – Apache Beam vs Apache Airflow vs Kubeflow
- Overview of Kubleflow pipelines on AI Platform
- How to push your TFX Pipeline into production
- Pipeline conversion for Apache Beam and Apache Airflow
- How to set up and orchestrate TFX pipelines using
- Apache Beam
- Apache Airflow
- Kubeflow
To see the full course content Download now
Course Prerequisites
- Basic knowledge of Math’s and Statistics is needed to learn the tools.
- Basics of DevOps & Machine learning will help.
Who can attend
- Data Scientists
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- DevOps Engineers
- IT/Software Engineers
- Machine Learning Architects
- Model Risk Managers/Auditors
Number of Hours: 40hrs
Certification
NoneKey features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
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- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Materials
- Preparing for Certification
Call now: +91-99003 49889 and know the exciting offers available for you!
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