Beginner'S Guide To Ai: Unveiling The Basics
Beginner'S Guide To Ai: Unveiling The Basics
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 384.59 MB | Duration: 1h 21m
Your First Steps into the World of Artificial Intelligence
What you'll learn
The Fundamentals of Artificial Intelligence
How to Build and Train AI Models
Large Language Models (LLM) and its components
Applications of AI in Real-World Scenarios
Requirements
Basic Computer Literacy: Learners should be comfortable using a computer, installing software, and navigating online platforms.
Description
Embark on your journey into the fascinating world of Artificial Intelligence with our "Guide to AI: Unveiling the Basics" course. Designed specifically for those who are new to AI, this course provides a comprehensive introduction to the fundamental concepts and technologies that power modern AI systems.You'll begin by learning the core principles of AI, including machine learning, neural networks, and data processing. Through easy-to-understand explanations and practical examples, you'll gain a solid foundation in how AI models are built, trained, and applied in real-world scenarios. Our approach ensures that even the most complex topics are made accessible, allowing you to build your knowledge with confidence.As you progress through the course, you'll explore the various applications of AI across different industries, from healthcare to finance, and understand how AI is transforming the way we live and work. The course also delves into essential ethical considerations, ensuring that you're aware of the responsibilities and challenges that come with deploying AI technologies.By the end of this course, you'll be equipped with the knowledge and practical skills needed to understand and engage with AI technologies, setting the stage for further exploration in this exciting field. Whether you're a student, professional, or tech enthusiast, this course will empower you to confidently step into the world of AI and drive innovation. No prior experience is required-just a curious mind and a willingness to learn!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Evolution of Artificial Intelligence
Lecture 3 Importance of Data
Lecture 4 Artificial Intelligence - Dimentions
Lecture 5 How AI Works
Lecture 6 Real World Applications
Lecture 7 You Learn
Section 2: Understanding Large Language Models
Lecture 8 Large Language Model
Lecture 9 Dimensions of LLM
Lecture 10 Concepts to Know
Section 3: Large Language Model - Deep Dive
Lecture 11 Fine Tuning in LLM
Lecture 12 Information Processing
Lecture 13 Components of LLM
Lecture 14 Transformer Model
Lecture 15 Benefits of LLM
Lecture 16 Popular LLM
Section 4: Exercise - Hands On
Lecture 17 Your First AI Program
Lecture 18 Transformer Model - Fine Tuning
Lecture 19 Chat Bot - Prompt
Lecture 20 ChatGPT-3
Individuals who have little to no prior knowledge of artificial intelligence but are eager to learn about this rapidly growing field.,Those pursuing studies in computer science, data science, or related fields who want to build a strong foundation in AI.,Anyone curious about AI technologies and how they are transforming industries, looking to gain practical skills and knowledge.,Working professionals in various industries who want to understand and apply AI in their careers, enhancing their expertise and staying competitive in the job market.
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Beginners Guide to ChatGPT: From Basics to Coding with AI
Beginners Guide to ChatGPT: From Basics to Coding with AI
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Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 27m | Size: 466 MB
Unlock the Power of AI: Beginners Guide to ChatGPT from Fundamentals to Getting your First Chat Applications!
What you'll learn
Introduction to AI and Language Models
Foundations of ChatGPT
Setting Up the Development Environment
Deep Dive into Coding with ChatGPT
Requirements
Basic knowledge of Python and an enthusiasm to dive deep into the world of AI and conversational models!
Description
Dive into the transformative world of artificial intelligence with "Beginners Guide to ChatGPT: From Basics to Coding with AI" This comprehensive course is designed for those looking to deepen their understanding of conversational AI technologies and develop hands-on knowledge in deploying ChatGPT for various applications.Starting with the basics, you'll explore the fundamental concepts of AI and language models, particularly focusing on the architecture and capabilities of GPT (Generative Pre-trained Transformer) models. As you progress, you'll learn how these models are trained and how they generate text, enabling applications like chatbots and automated customer support.Through practical tutorials and real-world projects, you'll gain proficiency in integrating ChatGPT with web applications and optimizing its performance. This includes customizing responses, handling API interactions, and implementing best practices to manage common challenges.Additionally, the course addresses ethical considerations in deploying AI technologies, ensuring that you are not only technically prepared but also aware of the societal impacts of your implementations.By the end of this course, you'll have a solid foundation in AI principles, hands-on experience with ChatGPT, and the skills to creatively apply these technologies in your field. Whether you're a developer, a tech enthusiast, or a professional looking to innovate, this course will equip you with the knowledge and tools to harness the power of ChatGPT and shape the future of AI-driven interactions.
Who this course is for
This course is ideal for developers, tech enthusiasts, and professionals eager to master AI-driven conversational models and apply ChatGPT in real-world scenarios.
Homepage:
Code:
https://www.udemy.com/course/beginners-guide-to-chatgpt-from-basics-to-coding-with-ai/
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Biomedical Project: Digital Thermometer with Atmega32 & LM35
Biomedical Project: Digital Thermometer with Atmega32 & LM35
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Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 38m | Size: 2.57 GB
Biomedical Engineering Project: Design and Simulate Digital Thermometer Using ATMEGA32, Arduino, LM35 Temperature Sensor
What you'll learn
Understand the Block Diagram of a Digital Thermometer project.
Learn the Basics of the ATmega32 Controller, including PORTS & PINS configuration.
Gain insights into the LM35 & TMP36 Sensors, focusing on Sensitivity and understanding the Datasheet.
Explore the ADC (Analog-to-Digital Converter) in ATmega32 for sensor data reading.
Study the functions of ADLAR, ADCSRA, and ADMUX Registers to configure ADC settings.
Develop Programming Logic for real-time temperature measurement.
Design and implement the program using Microchip Studio Software.
Simulate the project circuit on both Tinkercad and Proteus Software.
Requirements
A good understanding of Embedded C programming.
Familiarity with using Microchip Studio, Tinkercad, and Proteus Software.
Basic knowledge of Arduino and the ATmega32 controller.
Description
Project Overview:Begin with an in-depth exploration of the Block Diagram of your digital thermometer project, setting the foundation for everything that follows.ATMEGA32 Basics:Dive into the heart of the microcontroller with an introduction to ATMEGA32.Learn about the essential Pins and Ports involved in your project.Understand GPIO Registers and their crucial functions in ATMEGA32.Sensor Fundamentals:Gain a solid understanding of sensor sensitivity.Get introduced to the LM35 Temperature Sensor and learn how to interpret its datasheet.Analog to Digital Converters (ADC):Explore the concept of ADCs and their importance in digital projects.Learn about resolution in ADCs and how it impacts your readings.Understand ADMUX and ADLAR Registers in ATMEGA32 for precise sensor data conversion.Circuit Simulation with Tinkercad:Move into hands-on application with circuit simulation on Tinkercad Software using Arduino, making the theory come alive.Microcontroller Programming:Design and simulate the logic and program for your project using Microchip Studio Software, ensuring your thermometer works as intended.Final Simulation in Proteus:Bring it all together by simulating the entire project on Proteus Software, confirming the functionality of your design in a virtual environment.By the end of this course, you will have a well-rounded understanding of how to design, simulate, and implement a digital thermometer project using industry-standard tools and techniques. This course covers a broad range of topics, from microcontroller basics to advanced simulation software, making it ideal for beginners and those looking to deepen their knowledge of embedded systems and biomedical projects.
Who this course is for
Biomedical Engineers interested in medical device projects.
Electronics and Electrical Engineers seeking hands-on projects.
Instrumentation Engineers working on sensor-based systems.
Robotic Engineers exploring embedded systems and control.
Enthusiasts working on Arduino projects.
Developers focused on ATmega32 projects.
Anyone interested in Microcontroller Projects.
Homepage:
Code:
https://www.udemy.com/course/biomedical-project-digital-thermometer-with-atmega32-lm35-arduino/
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Building Real-World Web Applications With Chatgpt
Building Real-World Web Applications With Chatgpt
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Last updated 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.55 GB | Duration: 3h 38m
Create Websites with ChatGPT
What you'll learn
Real-world Case Studies With ChatGPT
Frontend Development With ChatGPT
BackEnd Development With ChatGPT
Fundamentals of Conversational AI
Requirements
No programming Expierence needed
Description
Unlock the power of conversational AI by enrolling in our "Building Real-world Web Applications with ChatGPT" course. This comprehensive program is designed for developers, entrepreneurs, and anyone eager to integrate cutting-edge natural language processing into their web projects.Key Highlights:Introduction to Conversational AI: Gain a solid understanding of the principles and applications of conversational AI, with a focus on OpenAI's ChatGPT model.Setting Up Your Development Environment: Learn how to configure your development environment with popular frontend and backend frameworks, ensuring a smooth workflow for your web app.Frontend Development: Dive into building an interactive and user-friendly frontend using modern web technologies. Develop a chat interface that seamlessly integrates with the backend.Backend Integration: Create a robust backend server to handle communication between your frontend. Implement proper conversation state management for a cohesive user experience.Deployment Strategies: Explore various deployment options, including cloud platforms like Vultr or DigitalOcean, and learn how to deploy your web app for public access.Testing and Debugging: Implement comprehensive testing strategies to ensure the reliability and functionality of your application. Learn effective debugging techniques for both frontend and backend components.Real-world Case Studies: Explore real-world examples of successful web applications incorporating ChatGPT. Understand how businesses and developers leverage conversational AI to enhance user engagement and satisfaction.By the end of this course, you'll have the skills and knowledge needed to develop and deploy real-world web applications that leverage the capabilities of ChatGPT, taking your projects to the next level of interactivity and engagement. Join us on this exciting journey into the world of conversational AI!
Overview
Section 1: Getting Started
Lecture 1 Deploying Server
Lecture 2 Setting The Server And ChatGPT Account
Lecture 3 Starting With ChatGPT
Section 2: HomePage of My Website
Lecture 4 Allow Apache to Be access from Outside
Lecture 5 Creating a The HomePage
Lecture 6 Creating the Footer
Lecture 7 Creating the Contact Form
Lecture 8 About Us
Lecture 9 Adding Description
Lecture 10 Adding Images with Tittles and Thumbnails
Lecture 11 Fix the Footer
Lecture 12 Adding Color
Section 3: Word counting
Lecture 13 Creating the WordCount PHP Script
Lecture 14 Fixing the NavBar
Lecture 15 Live Word Counting
Lecture 16 Word Counting and Letter Counting
Lecture 17 Fixing Live Word Counting and Letter Counting
Lecture 18 Adding what is my ip to the Footer
Lecture 19 Adding SEO Friendly Description
Section 4: What is my IP?
Lecture 20 Website Visitor IP Location 1
Lecture 21 Website Visitor IP Location 2
Lecture 22 Website Visitor IP Location Adding PopUp 1
Lecture 23 Website Visitor IP Location Adding PopUp 2
Section 5: Credit Card Validator
Lecture 24 Credit Card Validator Using binlist.net API
Lecture 25 Debugging Gone Wrong
Lecture 26 Credit Card Validator Adding More Functionalities
Lecture 27 Adding Nav, Footer, Description and More
Lecture 28 Upload image script
Lecture 29 Add Image with playgroundai.com
Section 6: WHOIS & NSLOOKUP
Lecture 30 Creating WHOIS Tool
Lecture 31 WHOIS Tool - Adding nav, footer, and to the homepage
Lecture 32 NSLOOKUP Tool
Beginner ChatGPT and Web Developer
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Cinematic Videography: Start Your Journey!
Cinematic Videography: Start Your Journey!
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.32 GB | Duration: 2h 27m
Create amazing videos with the ultimate guide to videography: from production and cinematography
What you'll learn
Learn about the world of filmmaking and why you will love it!
Basic skills in organizing filming, budgeting and team building.
Understand all the rules of technical settings: camera, composition, framing, motivation of camera movement, creative transitions and cinematic light.
Create your own vision of the project and present it to the team and the customer
How to set up the camera and technical equipment correctly?
Types of lenses and their use.
Basics of composition and shooting angles.
The rule of 180 degrees and depth of field.
Preparing for the practical part of the shooting
What is blocking? How to frame a scene for editing?
Requirements
This course is designed for beginners in video creation.
While any prior experience is beneficial, it's not required.
Any camera that can shoot video-whether it's a smartphone, budget, expensive-will be useful
You are dedicated to spend time on practicing what you'll learn in this course
Description
In "Cinematic Videography" we'll dive into all aspects of a cinematographer's work, from the fundamental knowledge of camera setup to the mastery of controlling light and camera movement. We'll look at how to choose the right angle, consider frame composition, and create visual narrative motivation so that each shot tells a story. I will share the secrets of professionals that will help you not only shoot, but also bring your vision to life by creating meaningful and visually beautiful shots. 4 modules21 video lessonsMore than 2 hours of structured video lessonsAdditional materials: articles, YouTube videos, program selectionsExtra lessonsKey things you will learn:Learn about the world of filmmaking and why you will love it!Basic skills in organizing filming, budgeting and team building.Understand all the rules of technical settings: camera, composition, framing, motivation of camera movement, creative transitions and cinematic light.Create your own vision of the project and present it to the team and the customerHow to set up the camera and technical equipment correctly?Types of lenses and their use.Basics of composition and shooting angles.The rule of 180 degrees and depth of field.Preparing for the practical part of the shootingWhat is blocking? How to frame a scene for editing?
Overview
Section 1: Module 1: Fundamentals of Filmmaking, Project Management
Lecture 1 Introduction
Lecture 2 Filmmaking - Start Your Journey!
Lecture 3 How to effectively use the project budget?
Lecture 4 Presentation for client. Treatment
Lecture 5 Why is it important to make a showreel, CV, presentation
Section 2: Module 2: Choosing Equipment and Pre-Production
Lecture 6 What is pre-production? Choosing a team
Lecture 7 Choosing a camera. The basics of camera setup
Lecture 8 Types of shooting equipment and technical solutions
Lecture 9 Lenses. What types exist, what is the difference?
Section 3: Module 3: Shooting, Composition
Lecture 10 Types of shots. Why shoot different plans?
Lecture 11 Сomposition. Types and rules
Lecture 12 Camera angles. Types
Lecture 13 180 degree rule, how to position cameras?
Lecture 14 Depth of field
Lecture 15 ND filters. What are they for?mp4
Lecture 16 Multicam. Recording video and sound
Lecture 17 Camera Movement
Section 4: Module 4: Visual Solutions and Project Presentation
Lecture 18 DOP and DIR vision of the project
Lecture 19 Light. Light schemes like in the movies, what is the basic rule?
Lecture 20 Blocking the scene
Lecture 21 Conclusion
Absolute beginners who want to improve their skills in videography,It is also perfect for creators who create their own content.,Content makers, videographers, freelancers, youtubers, newcomers looking to make money with their skills
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Copywriting secrets How to write a Copy that converts
Copywriting secrets How to write a Copy that converts
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Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 6m | Size: 869 MB
start writing a copy TODAY
What you'll learn
learn the basic of copywriting
start writing copy TODAY
powerful framework and formulas
understand what makes people buy
Requirements
No experience needed
Description
Welcome in this course about copywritting and studing prospect how s behaving and taking decision so we will make them buyI try my best to collect the best knowledge i have learnt in copywriting buisness, and i made this course for you so it will get you started fast. You dont need much to start copywritiingYou dont need this course also, i will be happy if you buy but you dont need it. You have everything if you wanna start writing. Go on and write.How ? just tell them why your product and them as a client you are good fit. You are just educating them to take the best decision to make a profitable sale.Tell them that they have a problem and you have found cure of this problem and that what you are selling, it s easy it s really easy we just like to complicate things.Why i want you to buy this course anyway :I gave framework to work with if you dont have themI showed you how easy it could beAnd after watching this course you will get it. You will have everything you just need to go a fill up the blanks
Who this course is for
wanna become copywriter today
Homepage:
Code:
https://www.udemy.com/course/copywriting-secrets-how-to-write-a-copy-that-converts/
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Crash Course Introduction To Machine Learning
Crash Course Introduction To Machine Learning
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 292.05 MB | Duration: 0h 40m
Kickstart Your Machine Learning Journey: Hands-On Projects with Python Libraries
What you'll learn
Learn the key concepts of Machine Learning
Get experienced with Jupyter Notebooks
Learn how to use Python libraries, such as Scikit-learn, numpy, pandas, matplotlib
Data handling & cleaning to be used in Machine Learning
Introduced to common ML algorithms
Learn to evaluate the performance of a model
Have hands-on experience with ML algorithms
Requirements
Basic understanding of high school mathematics
Some Python experience would be helpful
Description
Welcome to "Crash Course Introduction to Machine Learning"! This course is designed to provide you with a solid foundation in machine learning, leveraging the powerful Scikit-learn library in Python.What You'll Learn:The Basics of Machine Learning: Understand the key concepts and types of machine learning, including supervised, unsupervised, and reinforcement learning.Setting Up Your Environment: Get hands-on experience setting up Python, Jupyter Notebooks, and essential libraries like numpy, pandas, matplotlib, and Scikit-learn.Data Preprocessing: Learn how to load, clean, and preprocess data, handle missing values, and split data for training and testing.Building Machine Learning Models: Explore common algorithms such as Linear Regression, Decision Trees, and K-Nearest Neighbors. Train and evaluate models(Linear Regression), and understand performance metrics like accuracy, R^2 and scatter values in plots to measure the prediction.Model Deployment: Gain practical knowledge on saving your pre-trained model for others to use.This course is structured to provide you with both theoretical understanding and practical skills. Each section builds on the previous one, ensuring you develop a comprehensive understanding of machine learning concepts and techniques.Why This Course?Machine learning is transforming industries and driving innovation. This course equips you with the knowledge and skills to harness the power of machine learning, whether you're looking to advance your career, work on personal projects, or simply explore this exciting field.Prerequisites:Basic understanding of Python programming.No prior knowledge of machine learning is required.Enroll Today!Join me on this journey to become proficient in machine learning with Scikit-learn. By the end of this course, you'll have the confidence to build, evaluate, and deploy your machine learning models. Let's get started!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Basics of Machine Learning
Lecture 2 AI vs Machine Learning vs Deep Learning
Lecture 3 Types of Machine Learning
Lecture 4 Key Terminology
Section 3: Setting up the environment
Lecture 5 Installing Anaconda Distribution
Lecture 6 The importance of Jupyter Notebooks
Section 4: Data Preprocessing
Lecture 7 Data Loading & Cleaning
Lecture 8 Data Splitting
Section 5: Building a simple ML model
Lecture 9 Introduction to ML models & using one
Lecture 10 Common ML models
Lecture 11 Evaluating accuracy
Section 6: Saving the trained model
Lecture 12 Saving the model using Pickle
Lecture 13 Publishing the ML model
Section 7: Conclusion and Next Steps
Lecture 14 Recap of What You've Learned
Lecture 15 Resources
Section 8:[Extra] Improving a model's performance
Lecture 16 5 common methods to improve a model's performance
Anyone eager enough to learn how machine learning works and to break down the magic to reality
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