Master Practical Data Science with Amazon SageMaker Online Course

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Practical Data Science with Amazon SageMaker Course Overview

The Practical Data Science with Amazon SageMaker certification validates an individual's ability to build, train, and deploy machine learning models using the Amazon SageMaker service. It focuses on data manipulation, exploring data visualization and utilizing machine learning algorithms to solve real-world problems. The certification verifies proficiency in creating machine learning environments, conducting data exploration, and feature engineering. Industries use it to know if their data scientists or potential hires have the right, verified skills to utilize SageMaker for model development, training, tuning, and deployment. This helps industries enhance their machine learning capabilities and make accurate data-driven decisions.

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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 8 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

843 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
675 Per Participant & excluding VAT/GST
Online
11 Dec 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
15 Jan 09:00 AM - 05:00 PM CST
(8 Hours/Day)
+ If you accept merging of other students.
Practical Data Science with Amazon SageMaker
Course Prerequisites
- Basic understanding of AWS Services
- Familiarity with data science concepts and Python programming
- Knowledge of machine learning frameworks
- Experience with Jupyter notebook
- Understanding of AWS SageMaker service for model building, training, and deployment.
- Comfortable with AWS Management Console and AWS CLI.

Practical Data Science with Amazon SageMaker Certification Training Overview

Practical Data Science with Amazon SageMaker certification training focuses on tools and techniques for developing, training, and deploying machine learning models. The course covers data exploration, data preparation, feature engineering, ML model creation and evaluation, and deployment using Amazon SageMaker. It also includes practical exercises and projects around real-world problems to enhance learning and proficiency. Other topics involve understanding core AWS data science services, use of Jupyter notebooks, and the concepts of supervised and unsupervised learning.

Why Should You Learn Practical Data Science with Amazon SageMaker?

The Practical Data Science with Amazon SageMaker course offers in-depth understanding of data science concepts, including machine learning. It provides practical skills in utilizing SageMaker platform, enabling you to effectively manage, analyze and interpret vast amounts of data. This can boost your career in data science, enhancing your employability in this competitive market.

Target Audience for Practical Data Science with Amazon SageMaker Certification Training

• Data scientists seeking to leverage Amazon SageMaker for practical implementation
• Machine learning practitioners interested in learning SageMaker capabilities
• Cloud computing specialists wanting to expand skills in Amazon Web Services
• IT professionals exploring data science fields
• Students studying AI, machine learning, or data science disciplines
• Business analytics professionals aiming to use Amazon SageMaker for data-driven decisions.

Why Choose Koenig for Practical Data Science with Amazon SageMaker Certification Training?

• Koenig Solutions offers Certified Instructors proficient in Practical Data Science with Amazon SageMaker training.
• It provides an invaluable career boost in the ever-growing field of Data Science.
• The training programs are customized to cater individual needs and levels of expertise.
• Quality and affordable pricing is guaranteed, making professional development accessible.
• As a top training institute, they provide a wide range of accredited Data Science courses.
• Training dates are flexible, suiting to learners' convenience.
• They provide a comprehensive, Instructor-Led Online Training environment, ideal for distant learning.
• The institute also offers a rewarding destination-training option for immersive learning experience.

Practical Data Science with Amazon SageMaker Skills Measured

After completing Amazon SageMaker certification training, an individual can acquire skills such as creating machine learning models using Amazon SageMaker, understanding and applying various ML algorithms, utilizing SageMaker's built-in algorithms, configuring machine learning experiments, evaluating ML solutions, optimizing hyperparameters and implementing them into large scale machine learning projects, and deploying machine learning models into a production environment. Furthermore, they will gain expertise in using AWS services and tools for effective data analysis and managing ML workflows.

Top Companies Hiring Practical Data Science with Amazon SageMaker Certified Professionals

Major tech and data-driven companies such as Amazon, Google, IBM, Adobe, Facebook, and LinkedIn are actively seeking Practical Data Science with Amazon SageMaker certified professionals. These businesses require experienced individuals to aid in the analysis and interpretation of complex data, drive strategic decision-making and innovate their AI technologies.

Learning Objectives - What you will Learn in this Practical Data Science with Amazon SageMaker Course?

The learning objectives of the Practical Data Science with Amazon SageMaker course are to enable students to understand and utilize Amazon SageMaker's capabilities for model development, training, and deployment. Students will learn how to prepare, build, train, and deploy high-quality machine learning (ML) models using SageMaker. They will gain mastery in managing and using Jupyter notebooks with SageMaker, experimenting with automated model tuning, and integrating SageMaker with other AWS services to improve ML model training and deployment. Furthermore, the course will guide learners in understanding the approaches to manage ML workflows and ensure model accuracy and reliability.

FAQ's

You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
Yes, we do. For details go to flexi
Yes you can request your customer experience manager for the same.
You can pay through debit/credit card or bank wire transfer.
Yes, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes you can.
Yes, fee excludes local taxes.
Yes, we do.
Yes, Koenig Solutions is a AWS Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

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“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
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Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.