Comprehensive Course on Amazon SageMaker Studio for Data Scientists: Enhance Your Skills Today

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Amazon SageMaker Studio for Data Scientists Course Overview

Amazon SageMaker Studio for Data Scientists certification is a recognition given to professionals who showcase proficiency in using SageMaker Studio, a comprehensive machine learning service. SageMaker Studio enables data scientists to develop, train, and deploy machine learning models faster and more efficiently. The certification shows an individual's ability to leverage predictive analytics and machine learning to extract valuable insights, streamline business operations, minimize risks, and drive strategic decision-making. Industries use SageMaker Studio to automate redundant processes, improve customer interactions, detect anomalies, forecast demand, and so on. It houses capabilities like data wrangler, feature store, pipelines, and model registry that simplify the usual complex steps involved in machine learning processes.


The 1-on-1 Advantage

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

Flexible Dates

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

4-Hour Sessions

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

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 : 3 Days - 24 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.

2531 + If you accept merging of other students. Per Participant Incl. Official Course-Book & excluding VAT/GST
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
2025 Per Participant Incl. Official Course-Book & excluding VAT/GST
04 - 06 Mar
09:00 AM - 05:00 PM CST
(8 Hours/Day)
01 - 03 Apr
09:00 AM - 05:00 PM CST
(8 Hours/Day)
+ If you accept merging of other students.
AWS Customer Obsession Award in August 2022.
winner of the AWS Training Partner of the Year Award – APJ Region for 2022. The award was given in a glittering ceremony in Las Vegas attended by Subo
Course Prerequisites

There are no formal prerequisites for this Amazon SageMaker Studio for Data Scientists Training course. Previous experience with data science and machine learning concepts is beneficial, but is not required.

Target Audience for Amazon SageMaker Studio for Data Scientists Certification Training

- Professional data scientists
- Individuals with basic machine learning or data science experience
- Amazon Web Services (AWS) users interested in predictive data analytics
- IT professionals seeking to enhance big data skills
- Analysts wanting to improve machine learning model development
- Developers aiming to learn ML model management with SageMaker.

Why Choose Koenig for Amazon SageMaker Studio for Data Scientists Certification Training?

• Certified Instructors: Get trained by experienced and certified mentors.
• Career Boost: Improve professional skills, increasing job opportunities and career advancement prospects.
• Customized Training Programs: Tailor-made courses as per individual skill level and requirements.
• Destination Training: Unique opportunity to gain knowledge in a focused, distraction-free environment.
• Affordable Pricing: High quality training services available at competitive rates.
• Top Training Institute: Renowned globally as a leading IT training provider.
• Flexible Dates: Choose a convenient schedule as per individual availability.
• Instructor-Led Online Training: Live, interactive training sessions led by professionals.
• Wide Range of Courses: Broad selection of courses catering to diverse areas of specialization.
• Accredited Training: Receive globally recognized certificates authenticating your skills and knowledge.

Amazon SageMaker Studio for Data Scientists Skills Measured

After completing the Amazon SageMaker Studio for Data Scientists certification training, an individual can gain skills in creating machine learning models using Amazon SageMaker, deploying and managing scalable machine learning solutions, implementing data science methodologies at scale, and automating data science workflows. They will also learn about feature engineering, model training, tuning, and deployment, as well as integrating machine learning models with web applications. The individual will also understand how to use AWS services to streamline and automate the data science process.

Top Companies Hiring Amazon SageMaker Studio for Data Scientists Certified Professionals

Top companies including Accenture, IBM, Capgemini, Deloitte, and Cognizant hire certified professionals in Amazon SageMaker Studio. These industries seek experts who can develop, train and deploy machine learning models for complex business solutions, utilising Amazon's comprehensive suite of modular tools in SageMaker Studio.

Learning Objectives - What you will Learn in this Amazon SageMaker Studio for Data Scientists Course?

The learning objectives of Amazon SageMaker Studio for Data Scientists course are to enable participants to gain in-depth knowledge on how to use Amazon SageMaker Studio for building, training, and deploying machine learning models. By the end of the course, students will be able to leverage the power of SageMaker Studio to automate the process of data exploration and model tuning. They will also learn about the integrated Jupyter notebooks, real-time debugging, model visualization, and usage of built-in algorithms. Additionally, integrating SageMaker with other AWS services and understanding the best practices for artificial intelligence and machine learning workflows will also be covered.


Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Official Course-Book
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.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).
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.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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 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, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages



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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)
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