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This AWS CloudFormation video tutorial shall teach you how to use AWS CloudFormation and why it is used. Towards the end, we will be learning how to create a template using a JSON script and also create a stack using the sample templates. This video tutorial is ideal for those want to become an AWS Certified Solutions Architect!
00:00:00 Agenda
00:00:53 Why AWS CloudFormation
00:06:08 AWS CloudFormation Components
00:27:48 Templates in CloudFormation
00:29:37 Stacks in CloudFormation
00:30:19 Direct Update
00:30:40 Update

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What is the AWS certification?

AWS is a top cloud service provider and the AWS certification is one of the leading IT certifications today. It consists of a wide range of expert insights, resources that help validate your technical skills and cloud expertise to improve your career and business.

Why learn AWS?

As AWS is one of the rapidly growing cloud services, it has over 1 million customers from 190 countries. Cloud skills have become critical to large enterprises, and thus the AWS certification provides enormous job opportunities with competitive salaries.

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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This video on What is Backend Development will help you understand what goes in the backend of an application. Backend development involves the server side web application and logic.

This video covers the following topics :
00:00 What Is Backend Development?
01:55 Who Is a Backend Developer?
02:25 Backend Developer Skills
05:25 Backend Developer Roles and Responsibilities
06:55 Backend Developer Salary
07:15 How Can We Help You?

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What is Backend Development?
Back end development covers server-side web application logic and integration, and activities, like writing APIs, creating libraries, and working with system components
as opposed to front end development, which focuses on customer-facing services and programmes. Back end developers create code that allows a database and an application to communicate with one another. Essentially, a back end developer handles what you don't see; they are in charge of the back end of a website, which includes servers, databases, and applications.

Who is a Full-Stack Developer?
Let’s say you’re using your Instagram application. Every time you refresh, new content is loaded on your screen. You can like a picture, add new ones, search for profiles and do so much more. Although it provides a seamless user experience, there’s a lot that goes on in the backend. HTTP requests are made to the Instagram servers to retrieve and load information. This is facilitated with the help of backend frameworks.

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A full-stack Java developer is a professional who is skilled in end-to-end software development. So, full-stack Java developers should have front-end development skills (HTML, CSS, Javascript, ReactJS), back-end development skills (Python, Java, Ruby programming, Node.JS) as well as knowledge of databases (writing SQL queries to manipulate data).

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This video on jQuery Basics will let you know everything about basic jQuery concepts. In this jQuery tutorial for beginners, you’ll learn about what is jQuery, jQuery Selectors, events, and jQuery effects. In addition, you’ll also understand the concept of animate method in jQuery. Below are the points we are going to discuss in this jQuery basics tutorial for beginners.

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🔥 Microservices Architecture Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microse....rvices-architecture-
This Edureka's Microservices video on What are Microservices gives you an introduction to microservices and also shows the practical implementation of microservices with a demo.
In this video, you will learn the following:

1.Why Microservices
2.What Is Microservice Architecture
3.Features Of Microservice Architecture
4.Advantages Of Microservice Architecture
5.Companies Using Microservices
6.Hands-On Using SpringBoot

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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 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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01:13 - What is Data?
02:22 - What is Database?
04:15 - Why need a Database?
08:20 - Database Management System(DBMS)
10:19 - Introduction to SQL
11:40 - Relational Databases
14:17 - Sample SQL Query
16:20 - SQL vs NoSQL
18:00 - Applications of SQL
21:00 - Basics of SQL
21:28 - SQL Tables: Fields
21:58 - SQL Tables: Records
23:18 - SQL Tables: Datatypes
25:50 - CRUD Operations
26:42 - What can SQL do?
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38:00 - Installation of SQL Server
45:32 - Data Types in SQL
46:10 - Different Data Types in SQL
51:30 - Create Table Syntax
54:16 - Insert Query Syntax
57:55 - Select Statement Syntax
01:00:53 - Select Distinct Syntax
01:02:20 - Where Clause in SQL
01:05:10 - Operators in SQL
01:17:37 - Functions in SQL
01:26:00 - Order By and Top Clause in SQL
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01:36:04 - Update Statement in SQL
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02:05:27 - Except Operator in SQL
02:07:10 - Intersect Operator
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02:11:45 - Alter Table in SQL
02:14:32 - Merge Statement in SQL
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02:29:30 - Case Statement in SQL
02:34:23 - IIF Function in SQL
02:38:04 - Stored Procedure in SQL
02:43:16 - Exceptional Handling
02:43:25 - Try/Catch Blocks in SQL
02:47:45 - Transactions in SQL
02:52:38 - Database Administrator
02:52:50 - Roles of Database Administrator
02:54:22 - Types of DBA
02:56:12 - Intro to MS SQL Servers
03:02:24 - SQL Server Sysytem Databases
03:04:08 - Quiz
03:04:40 - Backup & Restore of Database
03:05:18 - Restoring "AdventureWoks" Database through GUI
03:07:25 - Recovery Models
03:18:54 - Quiz
03:19:17 - Dynamic Management Views
03:20:04 - Catagories of DMV's
03:24:30 - Activity Monitor
03:25:00 - Starting Activity Monitor
03:27:25 - System Monitor/Performance Monitor
03:30:20 - Working with SQL Server Profiler
03:32:02 - Quiz
03:32:36 - Data Integrity
03:32:52 - Categories of Data Integrity in SQL
03:33:45 - Index in SQL
03:34:15 - Types of Indexes in SQL
03:37:07 - Fragmentation in SQL
03:39:15 - Rebuilding in SSMS
03:40:43 - Quiz
03:40:56 - SQL Job Trend
03:41:20 - SQL Interview Questions

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Why should you opt for a SQL career?

SQL optimization has always been a popular topic in database management. SQL Database optimization can be an extremely difficult task, in particular for large-scale data wherever a minute variation can result or impact drastically on the performance. So learning this skill will definitely help you grab the best jobs in top MNCs after finishing Intellipaat SQL online training. The entire Intellipaat SQL course is in line with the industry needs.There is a huge demand for SQL certified professional. The salaries for SQL professional are very good. Hence this Intellipaat SQL database tutorial for beginners is your stepping stone to a successful career!
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In this Machine Learning with R full course video, you will understand the basics of machine learning and look at the various applications of Machine Learning. You will learn R programming in detail and understand some vital machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, SVM, and hierarchical clustering techniques.

00:00:00 Machine Learning basics
00:14:25 R Programming
00:32:03 Machine Learning algorithms
05:51:25 Linear regression
06:20:16 Logistic regression
06:38:14 Decision Tree and Random forest
07:47:52 SVM - Support Vector Machine
08:06:56 Clustering
08:48:55Time Series Analysis

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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. These applications learn, grow, change, and develop when exposed to new data.

What is Supervised Learning?
In supervised learning, we use known or labeled data for the training data. Since the data is known, the learning is supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model.

What is Unsupervised Learning?
In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates. This data is fed to the Machine Learning algorithm and is used to train the model. The trained model searches for a pattern and gives the desired response. In this case, it is often like the algorithm is trying to break code like the Enigma machine but without the human mind directly involved but rather a machine.

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Welcome to our investment banking video, where we'll cover the basics of this exciting and challenging industry.

In this video, we'll explore the different services provided by investment banks, such as mergers and acquisitions, debt and equity offerings, and financial advisory services. We'll also dive into the roles and responsibilities of investment bankers, from managing client relationships to executing complex financial transactions.

Whether you're a finance student, a young professional interested in a career in investment banking, or simply curious about this fascinating industry, this video will provide you with a solid understanding of the basics of investment banking.

So, sit back, relax, and join us as we explore the world of investment banking. Don't forget to like and subscribe for more informative videos on finance and business!

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👉Following topics are covered in this video:
00:00:00 - Introduction
00:04:45 - Introduction to Financial System
00:20:58 - Structure of Financial System
00:45:06 - Participants in Financial Markets
01:25:54 - Cash Equity and Fixed Income
01:33:48 - Various Ways of Raising capital
01:55:53 - Who is the Lead Manager?
02:01:09 - Types of Bonds on Collateral Basis
02:05:56 - Different Types of Bonds Based on Features
02:47:52 - Interest Rate and its Impact on Bonds
02:52:25 - Interest Rate vs Bond Prices vs Current Yield
02:57:29 - Yield to Maturity
03:14:10 - Current Yield
03:18:40 - Dirty Price vs Clean Price
03:29:53 - Introduction to Money Market
03:39:58 - Structure of the Indian Money Market
03:42:44 - Instruments of Money Markets
03:46:22 - Interbank Lending
03:56:37 - Advantages of Interbank Lending
04:04:43 - Disadvantages of Interbank Lending
04:14:20 - Treasury Bill
04:19:11 - Commercial Paper
04:21:48 - Certificate of Deposits
04:24:09 - Certificate of Deposits vs Term Deposit
04:26:36 - Capital Market vs Money Market
04:28:24 - Introduction to Foreign Exchange
04:52:53 - Features of Foreign Exchange
04:57:31 - Types of FX Quotations
05:02:13 - Non-Deliverable Forwards
05:09:22 - Interview Questions

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Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw

Attention mechanisms are crucial to the huge boom LLMs have recently had.
In this video you'll see a friendly pictorial explanation of how attention mechanisms work in Large Language Models.

This is the first of a series of three videos on Transformer models.
Video 1: The attention mechanism in high level (this one)
Video 2: The attention mechanism with math: https://www.youtube.com/watch?v=UPtG_38Oq8o
Video 3: Transformer models https://www.youtube.com/watch?v=qaWMOYf4ri8

Learn more in LLM University! https://llm.university

State Space Models (SSMs) are a new architecture that is revolutionizing Large Language Models. Learn about them in this friendly video!

00:00 Introduction
00:33 Example of state space models
10:34 SSMs for language generation
17:40 Mamba
18:32 Convolutions

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🚀 Small Language Models (SLMs): The Future of AI? 🤖

Most people think AI—like ChatGPT—needs huge servers and an internet connection. While that’s true for Large Language Models (LLMs), AI doesn’t have to be massive!

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✅ SLMs vs. LLMs – What’s the difference?
✅ How SLMs work – Train them on your data for specific tasks.
✅ Real-world examples – AI for customer support, healthcare, and education.
✅ Why SLMs are the future – Privacy-friendly, low-energy, and cost-effective!

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Unlike LLMs that require cloud computing, SLMs can run directly on your phone, laptop, or even a Raspberry Pi! No internet needed, no privacy concerns, and perfect for businesses, remote areas, and industries with strict data security requirements.

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• Instant AI-powered customer support 🏢
• Medical assistance in remote areas 🏥
• Personalized education tools for students 📚
• Energy-efficient AI for sustainability 🌱

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What’s the difference between generative AI and agentic AI? 🤔 Martin Keen explains how generative AI powers content creation and image generation, while agentic AI uses LLMs and chain of thought reasoning for proactive tasks like personal shopping and conference planning. Discover the future of intelligent AI collaboration! 🚀

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Episode Summary: MIT professor Andrew W. Lo tackles AI-assisted financial advising, healthcare, and the effect of human behavior on financial markets.

Episode Description: In this the first of two pilot episodes of Chalk Radio with VIDEO, Professor Andrew Lo, who teaches finance at MIT’s Sloan School of Management, knows that many people find financial matters perplexing and scary. Lots of us don’t have a good head for numbers, and besides, how can one get advice and make sound decisions when it’s taboo to discuss one’s finances at all? That’s where a financial advisor is useful–someone who understands the concepts, can crunch the numbers, and has a fiduciary responsibility to look out for your best interests. For many people, hiring a financial advisor might be a financial impossibility, but Prof. Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but acts with real fiduciary responsibility. Large language models can’t do this yet, he says, but the technology is developing fast. Other topics he touches on in this episode include the outsized influence of finance on drug development and global decarbonization and the equally outsized influence of teachers on their students–he names many who changed his own life, from his third-grade teacher in Queens to his professors at college and graduate school.

Subscribe to Chalk Radio on podcast platforms ➜ https://chalk-radio.simplecast.com

Relevant Resources:
MIT OpenCourseWare (https://ocw.mit.edu)
The OCW Educator portal (https://ocw.mit.edu/educator)
Professor Lo’s faculty page (https://mitsloan.mit.edu/facul....ty/directory/andrew-
15.401 Finance Theory I on MIT OpenCourseWare (https://ocw.mit.edu/courses/15....-401-finance-theory-
15.481x Adaptive Markets: Financial Market Dynamics and Human Behavior on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
15.482x Healthcare Finance on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
Music in this episode by Blue Dot Sessions (https://www.sessions.blue/)

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0:01 Intro
0:51 Why Finance Matters
3:02 Inflation, and practical finance applications to mitigate rising costs
5:19 Can ChatGPT reliably plan someone's retirement?
7:54 How to deal with AI hallucinations
9:14 Financial planning - why you need to start early!
9:58 Finances - a taboo topic?
11:07 AI Finance tools and ethics
12:31 Will AI take people's jobs?
13:18 Finance for positive impact on people & healthcare - Andrew's origin story
16:47 How Finance could help Climate
18:48 'It all comes down to money'
19:22 How human behavior affects Finance
19:47 How humans react to a market crash
21:12 Andrew's Adaptive Markets Hypothesis
22:02 How can we counteract irrational human tendencies?
24:00 How Andrew makes finance accessible through his teaching
24:55 Andrew's education and identifying different types of intelligence
28:31 Andrew's learning disorder and how teachers helped him manage it
35:08 Andrew's meaningful memento
38:17 Conclusion


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Credits:
Sarah Hansen, host and producer
Brett Paci, producer
Jackson Maher, producer
Dave Lishansky, producer
Peter Chipman, show notes