( Microservices Architecture Training: https://www.edureka.co/microse....rvices-architecture- )
This Edureka's video will help you understand what are microservices and their practical implementation using Spring Boot. In this video, you will learn the following:

1. Monolithic Architecture
2. Challenges Of Monolithic Architecture
3. What are Microservices
4. Microservice Architecture Components
5. Hands-On Using Spring Boot

#Microservices #MicroserviceArchitectureTutorial #MicroservicesForBeginners #MicroservicesOnlineTraining #MicroservicesUsingSpringBoot

---------------------------------------------------------------------------------

About Microservices Architecture Training

Edureka’s Microservices Architecture training introduces you to the concept of Microservices that are small, lightweight, process-driven components. So, Microservices are the next important thing in designing scalable, easy-to-maintain applications. This not only makes application development easier but also offers great flexibility and lets you utilize various resources optimally. If you want to build an enterprise-ready implementation of the

Microservices architecture, then this course is the first step for you. In this Microservices Architecture training, we will start by giving you a deep understanding of the core Microservices concepts and principle with insight in how they have evolved. We will walk you through the complete life cycle - from design to development to testing; including cross-layer concepts such as how to secure Microservices.

------------------------------------------------------------------------

What are the Objectives of our Microservices Architecture Training?

After completing, Edureka's Microservice training, you will be able to:

1.Understand and differentiate between various Microservices Architectural styles
2.Apply Microservices Architecture principles
3.Know how to make the appropriate Microservice Architecture decision
4.Develop and test a Microservice
5.Know what technologies can be used to enable Microservices with an example

---------------------------------------------------------------

Why should you go for Microservices Architecture Training?

Microservices Architecture, or simply Microservices, is a unique method of developing software systems as a suite

of independently deployable, small, modular services in which each service runs a unique process and communicates

through a well-defined, lightweight mechanism to serve a business goal. Thanks to its scalability, this

architectural method is considered ideal when you have to enable support for a range of platforms and devices

spanning across the web, mobile, Internet of Things, and so on. Because of its flexibility, you can also use this

method when you’re not sure what kind of devices you’ll need to support in an increasingly Cloud-based future.

--------------------------------------------------------------------------------

What are the Pre-Requisites for Microservices Architecture Training ?

There are no prerequisites for attending this Microservice course. Understanding of programming languages such as

Java, basic understanding and familiarity with Spring Boot framework and building Java applications would be

useful to execute Case Study and Project.
----------------------------------------------------------------------------------------------------

Who should go for this Microservices Architecture Training?

1.Application Architects
2.Software Architects
3.Application Developers
4.Developer working on Web, Cloud, Mobile, and other social technologies

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This Edureka tutorial on "PMP Time & Scope Management" will give you an insight into the various process and activities covered in the Scope Management of a Project.
Topics Covered :
00:00:00 Introduction
00:00:40 Project Scope Management
00:03:55 Plan Scope Management
00:14:40 Collect Requirements
00:25:54 Define Scope
00:33:46 Create WBS
00:37:29 Validate Scope
00:41:51 Control Scope
00:44:26 Plan Schedule Management
00:50:19 Define Activities
00:53:05 Sequence Activities
00:55:37 Estimate Activity Duration
01:00:35 Develop Schedule
01:05:38 Control Schedule

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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This Cloud Computing tutorial will help you understand why Cloud Computing has become so popular, what is Cloud Computing and the types of Cloud Computing. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. Organizations have moved to cloud platforms for better scalability, mobility, and security. In simple words, cloud computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than a local server. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. This video explains to you why we need cloud computing and why it has got so much importance in the current market.

Below topics are explained in this Cloud Computing Tutorial:
00:00:00 Public cloud
00:02:08 Private cloud
00:02:31 Hybrid cloud
00:03:50 IaaS
00:04:08 PaaS
00:04:33 SaaS

#TypesOfCloudComputing #CloudComputingServices #CloudComputingServiceModels #CloudComputingTypes #PublicCloudComputing #PrivateCloudComputing #HybridCloudComputing #CloudComputingTutorialForBeginners #CloudComputing #Simplilearn

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➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 30 CEUs from Caltech CTME
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- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership

✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services

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Are you ready to dive deep into the world of AI-powered language models? Look no further! In this comprehensive crash course, we'll guide you through everything you need to know about ChatGPT – from its inception to its practical applications.

🔍 What You'll Learn:

Introduction to ChatGPT: Explore the basics of ChatGPT and understand how it revolutionizes natural language processing.
Key Features: Uncover the remarkable features that make ChatGPT stand out from the crowd.
Use Cases: Discover real-world applications of ChatGPT across various industries and domains.
Tips and Tricks: Learn valuable insights and strategies for optimizing your interactions with ChatGPT.
Future Trends: Gain foresight into the future of AI and the evolving landscape of conversational agents.
Whether you're a seasoned AI enthusiast or a curious beginner, this crash course has something for everyone. Join us on this exciting journey and unlock the full potential of ChatGPT!

0:00:00 Chat GPT for Programming
0:19:12 How to Learn Python Fast With ChatGPT ?
0:32:13 WEB SCRAPPING Using CHATGPT
0:42:13 🔴 Build a Game using Python and ChatGPT
1:08:26 🔥 How To Use ChatGPT For Web Development
1:23:46 How to Build a Website Using ChatGPT
2:05:58 How to Create Video Using ChatGPT
2:26:49 Excel Using ChatGPT
2:39:35 ChatGPT Made This Excel Dashboard 😱😱
3:10:35 Master SEO Content Using ChatGPT
3:18:59 How To Write Resume Using ChatGPT

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#chatgpt #fullcourse #chatgptforbeginners #ai #machinelearning #simplilearn

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
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Adhesives based on gecko skin can hold huge weights – without sticking to anything. Head to https://brilliant.org/Veritasium to start your free trial. The first 200 of you will get 20% off Brilliant’s annual premium subscription.

▀▀▀
Thanks to Dr. Mark Cutkosky, Tony Chen, Amar Hajj-Ahmad, and the rest of the Biomimetics and Dexterous Manipulation Lab at Stanford University for showing us the power of gecko adhesives.

▀▀▀
References:
Russell, A. P., Stark, A. Y., & Higham, T. E. (2019). The integrative biology of gecko adhesion: historical review, current understanding, and grand challenges. Integrative and comparative biology, 59(1), 101-116. – https://ve42.co/Russell2019

Hajj-Ahmad, A., Suresh, S. A., and Cutkosky, M. R. (June 6, 2021). "Cutting to the Point: Directly Machined Metal Molds for Directional Gecko-Inspired Adhesives." ASME. J. Micro Nano-Manuf. – https://ve42.co/Hajj-Ahmad2021

Kerst, Capella F., "Gecko inspired adhesives : permanent practical manufacturing, new materials, and applications," PhD Thesis, Stanford University, December 2020. – https://ve42.co/Kerst2020

Suresh, S.A. "Engineering Gecko-Inspired Adhesives." Ph.D. thesis, Stanford University, 2020. [Online]. – https://ve42.co/Suresh2020

Suresh, S.A., Kerst, C.F., Cutkosky, M.R., Hawkes, E.W. "Spatially variant microstructured adhesive with one-way friction." Journal of the Royal Society Interface. 2019. – https://ve42.co/Suresh2019

Glick, P., Suresh, S.A., Ruffatto III, D., Cutkosky, M.R., Tolley, M.T., and Parness, A. "A soft robotic gripper with gecko-inspired adhesive." Robotics and Automation Letters. 2018. – https://ve42.co/Glick2018

Christensen, D.L., Hawkes, E.W., Suresh, S.A., Ladenheim, K. and Cutkosky, M.R., "µTugs: Enabling Microrobots to Deliver Macro Forces with Controllable Adhesives," IEEE/ICRA 2015 (preprint). – https://ve42.co/Christensen2015

Hawkes, E. W., "Applying Dry Adhesives to the Real World," Ph.D. thesis, Stanford University, 2015. – https://ve42.co/Hawkes2015

▀▀▀
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Exec. Produced by Derek Muller, Petr Lebedev, and Emily Zhang

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on Machine Learning Steps will help you understand, what are the various steps involved in while developing a Machine Learning Model. By the end of this video you will be able to implement a Machine Learning Pipeline. These are the following topics that are covered in this Machine Learning Steps video:
00:00:00 Introduction
00:00:47 Why Machine Learning?
00:02:04 What is Machine Learning?
00:04:36 Machine Learning PipeLine
00:08:51Demo: Implement a Machine Learning Pipeline

🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
🔹Checkout Edureka's Machine Learning R Tutorial Playlist: https://bit.ly/3duYGlF

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---------------Edureka Training and Certification--------------------

🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Tableau Online Training: https://bit.ly/3g784KJ

--------------Edureka Masters Programs--------------

🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb

--------Edureka PGP Courses------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC
🔵Data Science PGP: https://bit.ly/3dIeYV9

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------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - -
About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------

Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
-----------------------------------

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.

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-------Edureka Masters Programs----------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q

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About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

🔥Edureka Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.

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About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods

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Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).