MLOps with Python: Complete Machine Learning Operations Training
Master the art of operationalizing machine learning models with our specialized training program. Gain hands-on experience in setting up environments, version control with Git, data collection and management techniques. Learn advanced skills in model deployment using Docker and Kubernetes while ensuring robust monitoring and security measures. Enroll now to excel in MLOps under expert guidance.
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What you'll learn
- Master version control using Git for collaborative projects.
- Understand the key concepts and importance of MLOps.
- Implement effective data collection techniques and manage datasets efficiently.
- Learn best practices for integrating data science and operations.
- Set up Python environments including essential libraries and cloud configurations.
- Automate workflows using Apache Airflow for continuous integration.
- Deploy machine learning models using Docker and Kubernetes.
- Preprocess datasets using Python libraries for optimal model performance.
Why should you attend?
This course provides a comprehensive guide to operationalizing machine learning models using Python. It begins with an introduction to MLOps, highlighting its importance and the key concepts involved. Participants will gain insights into the challenges of deploying machine learning models in production environments. The course then delves into the MLOps lifecycle, offering a detailed breakdown of data management, model development, serving, and monitoring. Best practices for integrating data science and operations are also covered to ensure seamless collaboration between teams. Participants will learn how to set up their environment by installing essential libraries like NumPy, Pandas, and scikit-learn, as well as configuring cloud environments such as AWS, GCP, or Azure. The basics of version control with Git are introduced, including creating repositories and branching strategies for effective collaboration. Data collection techniques such as web scraping and APIs are explored alongside storage solutions and data versioning best practices. The course also covers dataset preprocessing and validation through data cleaning, normalization, feature engineering, Exploratory Data Analysis (EDA), and Confirmatory Data Analysis (CDA). Hands-on lab sessions provide practical experience in setting up environments, creating Git repositories, preparing datasets, tracking models with MLflow, setting up CI pipelines, and deploying models with Docker. Advanced topics include Kubernetes for model deployment, monitoring and logging in production with Prometheus and Grafana, workflow automation with Apache Airflow, automating machine learning pipelines, model retraining based on data drift, scalability techniques for production environments, and implementing security measures in machine learning pipelines. The course concludes with a final project that incorporates all learned concepts followed by a Q&A session to address any remaining questions.
Course Syllabus
Day 1 - MLOps Foundations & Setup
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Model Development & Deployment
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Production & Automation
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Ratings and Reviews
Instructor
Instructor
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
Instructor
Instructor
Instructor
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
FAQ
Frequently Asked Questions About This Course
Why should you attend?
This course provides a comprehensive guide to operationalizing machine learning models using Python. It begins with an introduction to MLOps, highlighting its importance and the key concepts involved. Participants will gain insights into the challenges of deploying machine learning models in production environments. The course then delves into the MLOps lifecycle, offering a detailed breakdown of data management, model development, serving, and monitoring. Best practices for integrating data science and operations are also covered to ensure seamless collaboration between teams. Participants will learn how to set up their environment by installing essential libraries like NumPy, Pandas, and scikit-learn, as well as configuring cloud environments such as AWS, GCP, or Azure. The basics of version control with Git are introduced, including creating repositories and branching strategies for effective collaboration. Data collection techniques such as web scraping and APIs are explored alongside storage solutions and data versioning best practices. The course also covers dataset preprocessing and validation through data cleaning, normalization, feature engineering, Exploratory Data Analysis (EDA), and Confirmatory Data Analysis (CDA). Hands-on lab sessions provide practical experience in setting up environments, creating Git repositories, preparing datasets, tracking models with MLflow, setting up CI pipelines, and deploying models with Docker. Advanced topics include Kubernetes for model deployment, monitoring and logging in production with Prometheus and Grafana, workflow automation with Apache Airflow, automating machine learning pipelines, model retraining based on data drift, scalability techniques for production environments, and implementing security measures in machine learning pipelines. The course concludes with a final project that incorporates all learned concepts followed by a Q&A session to address any remaining questions.
What you'll learn
- Master version control using Git for collaborative projects.
- Understand the key concepts and importance of MLOps.
- Implement effective data collection techniques and manage datasets efficiently.
- Learn best practices for integrating data science and operations.
- Set up Python environments including essential libraries and cloud configurations.
- Automate workflows using Apache Airflow for continuous integration.
- Deploy machine learning models using Docker and Kubernetes.
- Preprocess datasets using Python libraries for optimal model performance.
Course Syllabus
Day 1 - MLOps Foundations & Setup
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Model Development & Deployment
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Production & Automation
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Instructor Reviews
Mohammad Mehdi Lotfinejad
Chief Data Officer & Data Science Trainer"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."
"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."
"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructors
Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.
Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.
Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.
As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.
Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.
FAQ
Frequently Asked Questions About This Course
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