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Learn Python by Doing with 100 Projects
2025-07-16
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 4.88 GB | Duration: 12h 27m​

The perfect course to take after learning the basics. Build 50 Python apps with the instructor + 50 student projects.

What you’ll learn
Build confidence in Python programming.
Learn to build real-world programs.
Develop problem-solving skills.
Create a portfolio of 100 diverse projects.

Requirements
Basic understanding of basic Python concepts like variables, data types, loops, conditionals, and functions.

Description
This Python course is the perfect course for anyone who knows the basics but wants to take their skills to the next level by building real-world applications. This course offers a unique, hands-on approach to learning Python that goes beyond simply following along with an instructor.What You’ll Get:50 Instructor-Led Projects: Watch as an experienced programmer walks you through the process of building 50 diverse and practical Python applications. Each project is broken down step-by-step, with detailed explanations of the logic and behind every decision.50 Independent Projects: After watching the instructor, it’s your turn to put what you’ve learned into practice. You’ll receive written project requirements, just like in a professional setting, and build a similar program on your own. This approach ensures that you not only understand the concepts but can apply them independently.Why This Course Stands Out:Other courses often require you to replicate what the instructor does in the video, which can be repetitive and unengaging. In this course, you can watch, learn, and then dive into coding with your own project. This method helps you develop real confidence in your programming abilities.Is This Course for You?This course is ideal if you already have a basic understanding of Python concepts like variables, data types, loops, conditionals, and functions. If these fundamentals are still unclear, don’t worry-you’ll see them in action repeatedly and gain a deep understanding by building your own projects.By the end of this course, you’ll have built 100 Python projects and gained the experience and confidence to tackle programming challenges on your own.

Who this course is for:
Beginner Python programmers., Coding enthusiasts., Professionals who want to add Python to their skillset., University students.

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Free Download Learn Microservices Fundamentals Monoliths to Microservices
Published 3/2026
Created by Qudrat Ullah
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 47m ) | Size: 647 MB

Understand microservices, distributed systems, RPC, messaging, service discovery, coupling, and adoption strategies
What you’ll learn
✓ Explain what microservices are and how they differ from monolithic architecture
✓ Describe key microservice characteristics including loose coupling and independent deployment
✓ Understand how real microservices ecosystems work with containers, orchestration and event brokers
✓ Identify the three problems microservices solve: complexity, scale, and governance
✓ Understand how microservices help teams manage growing complexity using the best tool for each job
✓ Explain how microservices handle scale with isolated workloads and architectural shifts
✓ Describe the organisational practices that make microservices teams successful
✓ Make an informed decision about when to use microservices versus a monolith
✓ For Further Study Recommended some really great Books
Requirements
● Basic understanding of what software development is
● No prior microservices knowledge needed, this course starts from zero
● No specific programming language required, all concepts are language agnostic
Description
Microservices are one of the most important architectural styles in modern software development, but they are also widely misunderstood. Many developers hear the term often, yet struggle to understand when microservices make sense, how services communicate, why distributed systems behave differently from monoliths, and what it really takes to adopt microservices successfully.
This course is designed to give you a strong, practical foundation in microservices architecture from a software developer’s point of view. You will start by understanding what microservices are, how they differ from monolithic systems, and what characteristics make a microservices architecture effective. From there, you will explore why teams choose microservices to manage complexity, handle scale, and improve governance across growing systems and organizations.
The course then goes deeper into one of the most important parts of microservices design – communication patterns. You will learn how distributed systems introduce latency and availability challenges, how RPC works, when it is a good fit, and how it can increase coupling if used carelessly. You will also learn how service discovery works, when DNS-based discovery is enough, what a service mesh does, and when its complexity may or may not be justified.
You will also explore message-driven communication, event-driven systems, and asynchronous workflows. These topics are essential for understanding how modern microservices platforms improve scalability, handle spikes in traffic, and support loosely coupled services. The course also explains eventual consistency, distributed transactions, and why versioning is critical for both APIs and messages when services evolve over time.
Finally, the course focuses on adoption. Microservices are not just a technical pattern. They require organizational readiness, strong delivery practices, technical leadership, observability, and operational maturity. You will learn how to think about readiness using DORA metrics, how to avoid common mistakes such as distributed monoliths and overengineering, and what capabilities teams need before moving toward microservices.
By the end of this course, you will have a clear understanding of microservices foundations, service communication patterns, coupling, scalability trade-offs, and adoption strategy. Whether you are a developer, software engineer, architect, or technical leader, this course will help you build a much stronger understanding of how microservices work in real systems.
Who this course is for
■ Junior and mid level developers who want to understand microservices architecture from scratch
■ Developers working in monolithic applications who want to learn about modern architecture patterns
■ Software engineers preparing for interviews or new roles involving microservices
■ Technical leads and architects who want a clear and simple refresher on microservices fundamentals
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/learn-microservices-foundations-monoliths-to-microservices

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Learn Keda (Kubernetes Event-Driven Autoscaling)
Published 2/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 646.33 MB | Duration: 1h 34m​

Learn KEDA (Kubernetes Event-driven Autoscaling) by Examples

What you’ll learn

How to install and set up KEDA in a Kubernetes cluster

How to configure KEDA to scale applications based on a variety of event sources

How to create and deploy ScaledObjects, which tell KEDA which resources to scale

How to troubleshoot common issues and errors that may arise when using KEDA

Best practices for using KEDA to scale your Kubernetes applications

Requirements

To take this course, you should have some basic knowledge of Kubernetes and containerization. Specifically, you should be familiar with concepts such as Kubernetes pods, services, and deployments, as well as how to use kubectl to interact with Kubernetes clusters.

Description

Kubernetes has emerged as the de facto standard for container orchestration, providing a powerful platform for deploying and managing containerized applications. However, scaling Kubernetes applications can be a complex and time-consuming process, especially as traffic levels fluctuate and demand increases. KEDA (Kubernetes-based Event Driven Autoscaling) is a powerful tool that helps automate the scaling process by enabling you to scale your applications based on a variety of event sources, such as message queues, webhooks, and custom events.This course is designed to help intermediate-level Kubernetes users and experienced developers learn how to use KEDA to automatically scale their applications in response to incoming events. You’ll start by learning the basics of event-driven architectures and the benefits of using event-driven autoscaling to create more efficient and cost-effective Kubernetes applications. You’ll then dive into the technical details of KEDA, learning how to install and set up KEDA in a Kubernetes cluster, configure ScaledObjects to tell KEDA which resources to scale, and use event sources to trigger scaling actions.Throughout the course, you’ll work with real-world examples and hands-on exercises to gain a deeper understanding of KEDA and how to use it to scale your Kubernetes applications. You’ll also learn how to troubleshoot common issues and errors that may arise when using KEDA, as well as best practices for integrating KEDA with other tools and services in your Kubernetes environment.By the end of the course, you’ll have a solid grasp of KEDA and event-driven autoscaling, as well as the skills and knowledge needed to scale your Kubernetes applications with confidence and ease. Whether you’re a developer, DevOps engineer, or IT professional, this course will provide you with valuable insights and expertise to help you take full advantage of KEDA and its many benefits.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is KEDA

Lecture 3 How Keda works

Lecture 4 Keda Architecture

Lecture 5 ScaledObject and ScaledJobs

Section 2: Keda with RabbitMQ example

Lecture 6 Sscaledobject spec

Lecture 7 Install rabbitmq kubernetes cluster

Lecture 8 Keda rabbitmq consumer pods scaling example

Section 3: Keda using cron job

Lecture 9 Keda with cron job example

Section 4: Authentication using Keda

Lecture 10 Basic authentication using keda

Lecture 11 Basic authentication using envFrom ref from deployment yaml

Lecture 12 ClusterTriggerAuthentication

Lecture 13 Hashicorp valut authentication using token

Section 5: Scaledjob example

Lecture 14 Scaledjob example

Lecture 15 Keda scalers

Section 6: Thank you

Lecture 16 Thank you

Beginners who want to use keda in event driven application

Learn JavaScript: Write Modern Code with JavaScript ESNext, 2nd Edition
ISBN: 0135397391 | .MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 5h 22m | 1.16 GB
Instructor: Shaun Wassell​

The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Introduction

Learn JavaScript: Introduction

Lesson 1: What Is JavaScript?

Learning objectives
1.1 Learn what you can do with JavaScript
1.2 Look at JavaScript’s language features
1.3 Learn the pros and cons of JavaScript
1.4 Learn the JavaScript dialects and browser compatibility
1.5 Run code using a REPL
1.6 Learn basic JavaScript syntax

Lesson 2: Learn the 8 JavaScript Data Types

Learning objectives
2.1 Learn theTypes
2.2 Learn about JavaScript’s "number" type
2.3 Learn about JavaScript’s "string" type
2.4 Learn about JavaScript’s "boolean" type
2.5 Learn about JavaScript’s "object" type
2.6 Learn about arrays in JavaScript
2.7 Learn about JavaScript’s "function" type
2.8 Learn about JavaScript’s "undefined" type
2.9 Learn about JavaScript’s "bigint" type
2.10 Learn about JavaScript’s "symbol" type

Lesson 3: Learn Basic JavaScript Control Flow

Learning objectives
3.1 Learn about equality in JavaScript
3.2 Learn about if-statements in JavaScript
3.3 Learn about for-loops in JavaScript
3.4 Learn about while-loops and do-while loops in JavaScript
3.5 Handle and throw errors in JavaScript
3.6 Learn about switch-case blocks in JavaScript
3.7 Learn about ternary operators in JavaScript
3.8 Learn the difference between block-scoped and function-scoped variables

Lesson 4: Learn Object-Oriented Programming in JavaScript

Learning objectives
4.1 Learn about JavaScript classes
4.2 Learn about prototype-based inheritance
4.3 Learn about "this" keyword in JavaScript

Lesson 5: Work with Arrays and Objects

Learning objectives
5.1 Use built-in object functions
5.2 Use built-in array functions

Lesson 6: Learn JavaScript ES6+ Syntax

Learning objectives
6.1 Write functions using "arrow syntax"
6.2 Set default values for function arguments
6.3 Learn about the "spread operator"
6.4 Use object destructuring to get object properties
6.5 Use Interpolation to insert data into strings
6.6 Learn the Import and Export code in JavaScript

Lesson 7: Write and Run a JavaScript Program

Learning objectives
7.1 Learn about writing and running JavaScript programs
7.2 Write a JavaScript program for the browser
7.3 Move JavaScript to an external script
7.4 Install Node.js and NPM
7.5 Write a Node script
7.6 Use Babel to transpile code

Lesson 8: Work with Asynchronous Code in JavaScript

Learning objectives
8.1 Use callbacks to handle asynchronous operations
8.2 Use Promises to handle asynchronous operations
8.3 Use Async/Await to handle asynchronous operations

Lesson 9: Create a Web Server with JavaScript

Learning objectives
9.1 Learn the basics of writing a Node server
9.2 Create and set up a Node.js project
9.3 Create and run a basic Express server
9.4 Create and test a GET endpoint
9.5 Read a file with the ‘fs’ package
9.6 Create and test a POST endpoint

Lesson 10: Learn JavaScript Best Practices

Learning objectives
10.1 Use ESLint to ensure code style
10.2 Ensure immutability in JavaScript programs
10.3 Avoid loops when working with arrays

Lesson 11: Use GenAI Tools for JavaScript Development

Learning objectives
11.1 Use ChatGPT to write JavaScript code
11.2 Use Google Gemini to write JavaScript code
11.3 Integrate GitHub Copilot into your IDE

Summary

Learn JavaScript: Summary
More Info

Learn JAVA Programming – Beginner to Master
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 27.24 GB | Duration: 61h 24m​

Deep Dive in Core Java programming -Standard Edition. A Practical approach to learn Java. Become a Java Expert

What you’ll learn
Learn Java Programming for Standard Edition Java SE
Learn Multithreaded Programming
Learn GUI Programming
Learn Database Programming

Requirements
Basic Knowledge of Programming Required
Tools : JDK
IDE : Netbeans , Eclipse or IntelliJ

Description
The course consists of JAVA features, Java SEConcept of programming are made simple and easy.Every topic is explained with real-life examples.This course is designed to make you familiar with JAVA Programming in detail.By the end of the course you will understand Java extremely well and will be able to build your own Java applications.After completion of the course, you will be as productive as a software developer.The course is taken right from basics to all the features in JAVA.Basic topics like – Methods, Object-Orientation and Inheritance are explained.Features like – Multithreading, AWT, Swing, Collection Framework and Networking are also covered in a detailed manner.Who this course is forBeginner in java programming, want to learn in-depth java programmingThis course is ultimate for absolute beginners and the intermediate looking to improve their aptitude to expert levelStudents who want to learn java perfectlyCourse Contents:Introduction to JavaSetup Java Environment.Operator and Expressions.String Class and Printing.Conditional Statements.Loops.Arrays.Methods.Object-Oriented Programming.Inheritance.Abstract ClassesInterfacesInner ClassesStatic and FinalPackagesException HandlingMultithreadingjava.lang PackageAnnotations and JavadocLambda ExpressionsJava IOCollection FrameworkNetwork ProgrammingAWTSwingSupport from Instructorif you are a beginner then follow the course in same order and practice everything you learn.you can always ask question in Q&A section. you will find it below every lecture. Please don’t use messages for asking doubts.Your questions will be answered within 48 hours. before asking a question please check the question and answer for previously asked question.

Who this course is for:
Beginners Programmers – who want to Master Java Programming Skills, Java Programmers – who want improve their Java Programming Skills., Students : who are taking Java as a course in academics.

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Learn Java Creating Android Games Using the LibGDX library
Video: .mp4 (1280×720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 9.43 GB
Genre: eLearning Video | Duration: 302 lectures (58 hour, 2 mins) | Language: English​

Become a real games programmer. Create Games Using Java with the LibGDX Game Development Framework.

What you’ll learn

Create their own games for Android
Understand LibGDX and how to use it for games development
Understand and use Entity Component Systems
Understand Entity Component Systems and work with Ashley LibGDX extension
Understand how to create reusable components for future game development
Understand basics of data oriented design
Understand what are Entities, Components, Systems in game development
Understand different techniques of game development and find what technique is best for your next game
Understand how to create professional User Interfaces using Scene2D API
Understand asset loading and master asset management
Understand how to create useful utilities which help to debug your game
Understand how to write clean and maintainable code
Understand how to use particle effects
Understand how to deal with common exceptions and errors
Understand how to check collision between game objects and react on collision
Understand how to work with frame buffer objects
Understand how to clean up and refactor code

Requirements

A computer running Windows, Mac OS X or Linux
Basic knowledge of Java

Description

Games developers are in huge demand, with many new and exciting opportunities becoming available to programmers who understand the technology.

Are you looking to become a games programmer, but don’t know where to start?

Maybe you are looking for a really comprehensive course on games development, but cannot decide which course to take.

Maybe you have some skills with LibGDX or another games framework, but want to create Android games.

Whatever the reason, this course will teach you how to become a master games programming, using LIBGDX.

Keep in mind that LIBGDX is cross platform, meaning that you can then move games to other platforms

No previous experience is necessary. Goran Lochert, your course instructor is an expert games developer, who has worked on many games in many frameworks. He is also an official Oracle Java certified developer, and an official contributor to LIBGDX, the games framework used in this course to create games.

His skills and experiences with LibGDX are second to none.

As a result, you are learning from one of, if not the most experienced Java games developer on Udemy, meaning you can be assured that not only will you learn how to create your own games by following along in this course, but you will also learn the right way to create your game code.

The lack of proper programming techniques is one of the main reasons why games do not perform well, or end up really hard to maintain and update. In addition, learning the wrong way to design and create programming code, can actually harm your career, because employers expect games programmer to write professional code, following accepted industry standards. You will learn how to do that in this course.

Included, is well over fifty hours and hundreds of videos, making this one of the most comprehensive courses of it’s type.

Nothing is glossed over. Goran goes into detail with each and every aspect of games development through the course, so that you actually understand how things work, and can then apply this to your own games projects.

Although the emphasis is on Android in this course, because the course uses LibGDX, which is cross-platform, your games can be deployed to many platforms (PC for one).

Learning how to become a games developer, and how to code the right way, can be difficult. By the end of this course, you will be able to create your own games, and know how to structure and code your games, the way professional programmers do.

If you are ready to join the games industry as a games programmer, then it’s time to get busy learning!

Click the button to sign up for the course and get started today.

Who this course is for:

Anyone wanting to learn how to write games for Android

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Download Links

Learn IoT using Micropython and Raspberry Pi PICO W
Last updated 12/2024
Duration: 7h 51m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 5.11 GB
Genre: eLearning | Language: English​

Start Building IOT projects with Micropython and Raspberry PI PICO W

What you’ll learn

• Micropython Programming with Raspberry Pi Pico w Microcontroller Board
• Internet of Things with Raspberry Pi PICO W Microcontroller
• Embedded Systems with Raspberry Pi PICO W
• IOT Cloud Platforms

Requirements

• No Programming experience needed, you’ll learn it all on the go
• Basic understanding of electronic components is good to have, but not a requirement for this course

Description
"With the right tools and guidance, I believe anyone can learn and master technology. That’s why I offer 50% of the videos from all my courses as free previews. Feel free to watch them and enroll only if you believe the course is a good fit for you."

Are you trying to study Micropython, IoT and Raspberry pi PICO?

Are you getting confused with micropython concepts and how to tie them with IOT?

Learning IoT can be sometimes confusing because of the lots of different microcontroller boards available out there. Moreover, there are tons of different C libraries for various purposes which simply confuses a new learner. Even experienced people struggle in experimenting with IOT

Stop Struggling to learn IoT

I’ve created a course which will enable you to learn andexperiment with IOT in a very easy way using Raspberry Pi PICO W board (with Micropython as coding language)

Ifirmly believethatanyoneregardless of their education and skills can not only learn but excel in experimenting with IoT including all the hardware and software skills.

"What is there to loose if you enroll in this course? You have a 30-day Full Money Back Guarantee, enroll now and start experimenting on IoT"

Hi, My name is Amit Rana, I’m an engineer, programmer and trainer

I have created"Micropython, Raspberry Pi PICO W and IoT For Absolute Beginners"to help you learn IoT with raspberry pi pico microcontroller with micropython as your coding language.

Raspberry PI PICO W is a low cost microcontroller board developed by Raspberry Pi Foundation. Its based on ARM Cortex M0 based RP2040 microcontroller which is one of the latest microcontroller developed in recent years.

If you’re not aware, micropython is the simplest possible microcontroller coding language available out there. Compared to C, python is much easy to understand quick to experiment with confidence. Micropython works natively on raspberry pi pico boards making it easier to learn and experiment on it.

If you’ve always wanted to

· Start or shift your career in Embedded Systems or Internet of things

· Build interesting hardware IoT projects

· Get better in your existing work

· Kick start your next dream IoT startup

· Start your own blog and youtube channel, probably online courses on this ever growing industry

. then this course is specially for you.

This course is specially created for beginners in electronics hardware and cloud technologies!!!

IoT is interconnecting various things and devices to send and receive data from internet enabling variety of applications.

In this program, we’re going to study different aspects of IoT and our coding language is python.

First, we’ll understand the basics of IoT and what are the different hardware and software platforms needed for it

We’ll then use Raspberry Pi PICO W as our controller for this course and see how we can make it up and running. Starting from soldering headers to pico board, you’ll study the pinout and how to use PICO W inside python’s Thonny IDE. Next, we’ll see how to write python programs for PICO W board for various interfaces like relays and sensors.

If you’re new to Python, no worries, there’s a full python tutorial included for you!!!

Once we get confident about experimenting with PICO W, we’ll then explore IoT with Thingspeak and Adafruit IO and finally try some projects including a full projects

"What is there to loose if you enroll in this course? You have a 30 day Full Money Back Guarantee, enroll now and start experimenting on IoT"

In This Course, you’ll learn

Basics

· What is IoT and why learning it is important?

· What is Raspberry Pi PICO W and which board to use?

· How to implement IoT, what are the required softwares and hardware for IoT

· Introduction to Python coding for Microcontrollers (micropython)

· Understand the pinout

· Interfacing of various sensors and output devices with PICO W

· Python programming to control home appliances and read sensors

IO Interfaces

· LEDs, Switches Interfacing

· Transistor and Relay Interfacing

· AC Switching Circuits

· LDR interfacing

· DHT22 Temperature and Humidity Sensor Interfacing

· DS18b20 temperature sensor interfacing

· DC Motor and PWM speed control

Internet of Things

· What is IoT?

· Different Hardware’s used for IoT

· Communication Protocols used for IoT

· Use cases.

Thingspeak

· Creating account on thingspeak

· Use HTTP requests to send data

· Send data from PICO W to thingspeak

· Visualizations in PICO W

· Analytics and Alerts in thingspeak

Adafruit IO

· Deeper understanding of what is MQTT protocol

· What are mqtt topics

· Adafruit IO feeds, dashboards

· Using adafruit IO for creating IoT project using MQTT protocol

· Complete Home automation project using Raspberry pi and Adafruit IO

What this course will do for you?

· Kickstart you with micropython programming with IoT

· Give you a clear understanding of what is IoT?

· Take you from a complete fresher to an experienced PICO W programmer.

· Understand IoT protocols.

· Design your IoT systems.

Who Should Enroll?

· Complete Beginners into IoT and Raspberry Pi PICO Boards

· People who understand little in IoT and want to learn making projects.

· Freshers as well as experienced one’s

This course is specially created for beginners in electronics hardware and cloud technologies!!!

I have been training and developing from past 10 years. With more than 40000 students (30000+ on Udemy itself) trained across 150 countries, you can be assured that you’re in a good company. What’s more, there is always a30-day money back guaranteeso you’re safe about investing your money into this course.

Enroll now and start experimenting!!!

"Your One Negative Review ruins all the hard work and efforts I’ve put, I’m not a corporate company or even a 10 people startup. I’m a solo course maker. Any negative review hampers me deeply, please see all the trial videos, HALF of course is for free. They’re in order and gives you complete idea about the Accent of Instructor, Quality of Content, and Value delivered through this course"

Who this course is for:

• People willing to learn Micropython and Raspberry Pi PICO
• IOT and Micropython enthusiasts
• Professionals looking to switch to IOT industry
• Students willing to learn embedded systems and Internet of Things
• Beginners in Internet of things
• Hobbyists exploring Raspberry Pi PICO W for their next IoT projects

More Info

Free Download Learn how to detect dominant cycles with spectrum analysis
Last updated 11/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 49m | Size: 729.4 MB
Using the Fast Fourier Transform and the DFT-Goertzel algorithm to detect cycles in noisy data sets (financial markets)

What you’ll learn
This course explains the key elements of a Fourier-based spectrum analysis.
Understanding the basic computations involved in FFT-based or Goertzel-algorithm-based measurement.
Explaining the core background of FFT in layman terms and concentrate on the important aspects on "how to read a spectrum" plot.
Learn why the Goertzel algorithm outperforms classical Fourier transforms for the purpose of cycles detection in financial markets
Get the source code to implement the generalized Goertzel transform
Requirements
Basic cycle and/or spectrum analysis knowledge is helpfull, but not mandatory.
Description
At the heart of almost every cycle analysis platform is a spectrum module.
Various derivatives of the Fourier transform are available. But which application of Fourier is the "best" for use in economic markets? This course tries to provide an answer.
Therefore, the course focuses on explaining the essential aspects in layman’s terms
• Fundamental aspects on "How to read a spectrum diagram" are at the center of the course.
• Different Fourier spectrum analysis methods are compared in terms of their performance in detecting exact cycle lengths ("frequency" components).
• Learn what is important in detecting cycles in the financial markets.
• Get the source code to implement for your own usage
Understanding the basic calculations involved in measuring cycle length, knowing the correct scaling, correct non-integer interpolation, converting different units (frequency vs. time), and learning how to read spectral plots are all critical to the success of cycle analysis and related projection.
Being equipped with this knowledge will allow you to have more success with your custom cycle analysis application.
There are many issues to consider when analyzing and measuring cycles in financial markets. Unfortunately, it is easy to make incorrect spectral measurements resulting in inaccurate cycle projections either on wrong phase or length gathered from the spectrum plot.
This course explains the key elements of a Fourier-based spectrum analysis.
You will learn why the Goertzel algorithm outperforms classical Fourier transforms for the purpose of cycles detection in financial markets.
Compared to an FFT, the Goertzel algorithm is simple and much more efficient for detecting cycles in data series related to financial markets. You will learn and understand why in this course.
Who this course is for
Data-science and financial market analysts interested in applying digital signal processing to analyzing and measuring cycles in financial markets
Experts who want to understand the differences between standard Fourier and Goertzel algorithm (FFT vs. G-DFT)

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Free Download Learn How Modern Advertising Agencies Use AI
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 6m | Size: 1.16 GB
Use Midjourney & ChatGPT for storyboards, key visuals, presentations and real agency workflows

What you’ll learn
How advertising agencies actually use AI in real workflows
How to turn incomplete briefs into powerful visual concepts
How to generate, control, and refine visuals using Midjourney
How to finish and present AI visuals professionally
Requirements
Basic understanding of design or advertising concepts
Basic familiarity with Photoshop
Willingness to learn and adapt to new creative tools
Description
AI is everywhere today. But how is it actually used inside an advertising agency or a design studio?
This course focuses on the real, practical use of AI in day-to-day design work. It is not about everything AI can do, but about how tools like Midjourney and ChatGPT are actually used inside agencies – under real deadlines, client expectations, and creative challenges.
If you are a designer, advertiser, or creative professional, this course will help you understand how to use AI in a way that is practical and immediately usable.
You will learn how to create mood boards, storyboards, key visuals, and presentation assets using AI. You will also learn how to write prompts from a designer’s perspective, and how to use ChatGPT to support your workflow.
The course is built entirely on real examples and real scenarios, not theory.
You will also understand where AI works best – and where it should not be used, especially when dealing with real brands, products, and client expectations.
By the end of this course, you will be able to confidently use AI as part of your daily design workflow and improve both your speed and output quality, while maintaining originality, clarity, consistency, and strong visual communication standards.
Who this course is for
Advertising professionals looking to adapt AI into real agency workflows.
Designers and visualisers who want to upgrade their creative process.
Students with basic knowledge of Photoshop or anyone aspiring to enter the creative field
Freelance creatives working on branding, social media, and presentations.
People who wish to learn AI tools to generate visuals

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