This course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Learners with little to no machine learning experience or knowledge will benefit from this course. Basic knowledge of Statistics will be helpful.
Course Objectives:
In this course, you will learn to:
- Select and justify the appropriate ML approach for a given business problem
- Use the ML pipeline to solve a specific business problem
- Train, evaluate, deploy, and tune an ML model using Amazon SageMaker
- Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS
- Apply machine learning to a real-life business problem after the course is complete
Course content
Introduction to Machine Learning and the ML Pipeline
- Overview of machine learning, including use cases, types of machine learning, and key concepts
- Overview of the ML pipeline
- Introduction to course projects and approach
Introduction to Amazon SageMaker
- Introduction to Amazon SageMaker
- Demo: Amazon SageMaker and Jupyter notebooks
- Hands-on: Amazon SageMaker and Jupyter notebooks
Problem Formulation
- Overview of problem formulation and deciding if ML is the right solution
- Converting a business problem into an ML problem
- Demo: Amazon SageMaker Ground Truth
- Hands-on: Amazon SageMaker Ground Truth
- Practice problem formulation
- Formulate problems for projects
Preprocessing
- Overview of data collection and integration, and techniques for data preprocessing and visualization
- Practice preprocessing
- Preprocess project data
- Class discussion about projects
Model Training
- Choosing the right algorithm
- Formatting and splitting your data for training
- Loss functions and gradient descent for improving your model
- Demo: Create a training job in Amazon SageMaker
Model Evaluation
- How to evaluate classification models
- How to evaluate regression models
- Practice model training and evaluation
- Train and evaluate project models
- Initial project presentations
Feature Engineering and Model Tuning
- Feature extraction, selection, creation, and transformation
- Hyperparameter tuning
- Demo: SageMaker hyperparameter optimization
- Practice feature engineering and model tuning
- Apply feature engineering and model tuning to projects
- Final project presentations
Deployment
- How to deploy, inference, and monitor your model on Amazon SageMaker
- Deploying ML at the edge
- Demo: Creating an Amazon SageMaker endpoint
- Post-assessment
To see the full course content Download now
Course Prerequisites
- Basic knowledge of Python programming language
- Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch)
- Basic experience working in a Jupyter notebook environment
Who can attend
- Developers
- Solutions Architects
- Data Engineers
- Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker
Number of Hours: 25hrs
Certification
- AWS Certified AI Practitioner
- AWS Certified Machine Learning Engineer - Associate (MLA-C01)
Key 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
DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.
- 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!
We working and coordinating with the companies exclusively to get placed. We have a placement cell focussing on training and placements in Bangalore. Our placement cell help more than 600+ students per year.
Learn from experts active in their field, not out-of-touch trainers. Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule. We have a pool of experts and trainers are composed with highly skilled and experienced in supporting you in specific tasks and provide professional support. 24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts. Our trainers has contributed in the growth of our clients as well as professionals.
All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating continue to train for us.
No worries. DASVM technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
DASVM Technologies provides many suitable modes of training to the students like:
- Classroom training
- One to One training
- Fast track training
- Live Instructor LED Online training
- Customized training
Yes, the access to the course material will be available for lifetime once you have enrolled into the course.
You will receive DASVM Technologies recognized course completion certification & we will help you to crack global certification with our training.
Yes, DASVM Technologies provides corporate trainings with Course Customization, Learning Analytics, Cloud Labs, Certifications, Real time Projects with 24x7 Support.
Yes, DASVM Technologies provides group discounts for its training programs. Depending on the group size, we offer discounts as per the terms and conditions.
We accept all major kinds of payment options. Cash, Card (Master, Visa, and Maestro, etc), Wallets, Net Banking, Cheques and etc.
DASVM Technologies has a no refund policy. Fees once paid will not be refunded. If the candidate is not able to attend a training batch, he/she is to reschedule for a future batch. Due Date for Balance should be cleared as per date given. If in case trainer got cancelled or unavailable to provide training DASVM will arrange training sessions with other backup trainer.
Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.
Please Contact our course advisor +91-99003 49889. Or you can share your queries through info@dasvmtechnologies.com
