MLOps and AutoML Live Training: Instructor-Led Bootcamp
$200.00
- Master MLOps and AutoML for streamlined ML and career advancement.
- 8 hours training on weekend – Saturday and Sunday, 5-9 PM IST.
- Receive live session links after registration.
Get 30% off on group, minimum 5, registrations. Write to info@ambilio.com with Email IDs to get coupon code.
Description
Embark on a transformative journey in the realm of machine learning with our 8-hour live bootcamp training on MLOps and AutoML. Over the course of two intensive days, Saturday and Sunday, from 5 PM to 9 PM, participants will delve deep into the intricacies of MLOps and AutoML.
MLOps is the foundation of efficient machine learning development and deployment. Discover the art of streamlining ML workflows, automating model deployment, and maintaining model health. Harness the power of version control, continuous integration, and monitoring, ensuring your machine learning projects thrive in production environments.
On the other hand, AutoML is revolutionizing how we approach machine learning. Gain hands-on expertise in leveraging automated tools and algorithms to accelerate model development, hyperparameter tuning, and feature engineering. Witness the democratization of AI as you explore AutoML’s ability to empower non-experts to build robust ML models effortlessly.
Our expert instructors will guide you through these critical concepts, ensuring a comprehensive understanding. Engage in practical projects to solidify your skills, and leave with the knowledge and confidence to excel in real-world MLOps and AutoML challenges. Don’t miss this opportunity to supercharge your machine learning capabilities. Secure your spot today!
What You’ll Get?
- Expert Guidance: Receive in-depth insights from experienced instructors in MLOps and AutoML.
- Hands-On Experience: Engage in practical projects to solidify your skills and apply concepts effectively.
- Comprehensive Learning: Gain proficiency in MLOps and AutoML, enabling you to excel in real-world applications.
- Practical Projects: Apply MLOps and AutoML concepts through hands-on projects for real-world readiness.
By the end of this MLOps and AutoML Live Training, you will be equipped with the skills and knowledge necessary to deploy and manage machine learning models in production environments, and contribute to an effective MLOps and AutoML strategy.
Prerequisite
- Basic knowledge of machine learning
- Basic knowledge of software engineering and cloud frameworks
- Intermediate-level knowledge of python programming
MLOps & AutoML Training Outline
- Introduction to MLOps and AutoML
- Overview of MLOps and AutoML concepts.
- Importance in the machine learning lifecycle.
- Setting Up Your Environment
- Installing essential tools and libraries.
- Configuring version control (e.g., Git).
- Building Basic ML Pipelines
- Creating a simple ML pipeline.
- Integrating version control into the workflow.
- Advanced MLOps Techniques
- Model monitoring and management.
- Scalability and orchestration in MLOps.
- Fundamentals of AutoML
- Understanding AutoML and its benefits.
- Exploring popular AutoML platforms.
- Hyperparameter Tuning and Feature Engineering
- Strategies for hyperparameter tuning.
- Techniques for effective feature engineering.
- Deployment Strategies
- Different approaches to model deployment.
- Deploying models in a production environment.
- Monitoring Model Performance
- Setting up monitoring for deployed models.
- Troubleshooting and optimizing models.
- Customizing AutoML Pipelines
- Tailoring AutoML workflows to specific needs.
- Advanced AutoML customization.
- Industry-Relevant Projects
- Participants work on real-world projects.
- Project presentations and feedback.
FAQs
- Who can attend this course?
This course is suitable for beginners as well as professionals working in different domains.
- What is the mode of delivery?
This course has different modes of delivery. It can be taken in person from a center over the weeks, or it can be taken online as well based on your own convenience.
- Will there be an instructor also in this course?
Yes, an instructor will be there for in-person delivery and online (instructor-led) delivery.
- What are the prerequisites to attend this course?
Basic understanding of machine learning, software engineering, cloud technology and python are required to attend this course.
- How difficult is this course to learn?
The course has beginner-level difficulty.
- What job roles can i take if i attend this course?
Machine Learning Engineer, ML Architect, AI Architect, Solution Architect etc. roles can be explored after taking this course.
- Who can get the certificate?
All attendees who complete all sections of the course along with the capstone project will get the certificate.
- How the completeness of each section is measured in the course?
There are MCQ-based short tests given after each section to assess the understanding of a learner in each section. Finally, the capstone project is evaluated manually by the instructors.
Sagar Chhetri –
Seems to be a great opportunity to learn mlops and automl. I have attended their previous live trainings and had a great experience. Registered and eagerly waiting for this one.
Daniel Moskovic –
Have seen first of its kind live training on MLOps and AutoML. Already in!