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Welcome to the future of technology learning – a quick, comprehensive online course designed to help you get started with the most innovative AI tools of our time: ChatGPT, Midjourney, Google Bard, and Dall-E. In today's data-driven world, these AI tools are more than just buzzwords. They’re shaping the future of industries, from customer service to content creation, data analysis, and beyond. But here's the thing: you don't need to be a tech genius to understand them. That's where we come in.

Unlock the secrets of creating engaging YouTube content effortlessly with our comprehensive course, "How To Make YouTube Automation Videos in 20 Minutes Using AI." Designed for both novices and seasoned creators, this course introduces you to the dynamic capabilities of AI tools, enabling you to run a successful faceless YouTube channel. Throughout the course, you will explore a variety of AI technologies that streamline the video production process. Learn how to use advanced AI tools to generate compelling video scripts, create high-quality visuals, and edit your videos—all within 20 minutes. This course specifically caters to those interested in maintaining their privacy while capitalizing on the expansive reach of YouTube, making it perfect for running a faceless channel. Guided by the insights of Matt Par, a recognized expert in the YouTube automation space, Khary McDonald will teach you efficient strategies to automate your video creation. These proven techniques will show you how to harness AI to not only speed up production but also to enhance the quality and appeal of your videos to your target audience. This course covers essential topics such as: - Selecting the right AI tools to develop and edit your videos. - Crafting engaging narratives without appearing on camera. - Optimizing your video titles, descriptions, and tags using AI to maximize visibility. - Scheduling and managing your content to ensure consistent engagement without manual oversight. By the end of this course, you'll be equipped with the skills to launch and grow a faceless YouTube channel using the latest AI technology, making video production efficient and hassle-free. Join us to transform your approach to YouTube video creation and thrive in the digital content landscape.

Welcome to "Gemini AI with Python - Quick Start," your comprehensive guide to mastering the revolutionary Gemini AI Python API by Google. Dive into the realm of advanced AI and learn to leverage the full potential of Large Language Models (LLMs) with this free Udemy course. Whether you're a seasoned developer, a budding data scientist, or simply an AI enthusiast, this course is your ticket to understanding and implementing the transformative capabilities of Gemini AI.

Dive into the transformative world of PayToMe.co's AI-driven solutions in this comprehensive course. Explore how artificial intelligence is revolutionizing financial services through enhanced KYC (Know Your Customer), KYB (Know Your Business), BaaS (Banking-as-a-Service), and PaaS (Payment-as-a-Service) frameworks. Learn how these technologies are reshaping the landscape of digital payments and financial operations, offering unprecedented accuracy, efficiency, and security. This course provides a deep understanding of the mechanisms that power modern fintech innovations, positioning you to leverage AI in developing or improving financial systems globally.

Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months. Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making. This Professional Certificate focuses on data analysis using Microsoft Excel and R programming language. If you’re interested in using Python, please explore the IBM Data Analyst PC. This program will teach you the foundational data skills employers are seeking for entry level data analytics roles and will provide a portfolio of projects and a Professional Certificate from IBM to showcase your expertise to potential employers. You’ll learn the latest skills and tools used by professional data analysts and upon successful completion of this program, you will be able to work with Excel spreadsheets, Jupyter Notebooks, and R Studio to analyze data and create visualizations. You will also use the R programming language to complete the entire data analysis process, including data preparation, statistical analysis, data visualization, predictive modeling and creating interactive dashboards. Lastly, you’ll learn how to communicate your data findings and prepare a summary report. This program is ACE® and FIBAA recommended—when you complete, you can earn up to 15 college credits and 4 ECTS credits. Applied Learning Project You will complete hands-on labs to build your portfolio and gain practical experience with Excel, Cognos Analytics, SQL, and the R programing language and related libraries for data science, including Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest. Projects include: - Analyzing fleet vehicle inventory data using pivot tables. - Using key performance indicator (KPI) data from car sales to create an interactive dashboard. - Identifying patterns in countries’ COVID-19 testing data rates using R. - Using SQL with the RODBC R package to analyze foreign grain markets. - Creating linear and polynomial regression models and comparing them with weather station data to predict precipitation. - Using the R Shiny package to create a dashboard that examines trends in census data. - Using hypothesis testing and predictive modeling skills to build an interactive dashboard with the R Shiny package and a dynamic Leaflet map widget to investigate how weather affects bike-sharing demand.

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them. Applied Learning Project The courses in this specialization feature a variety of assignments that will test the learner’s knowledge and ability to apply content through concept checks, written analyses, and Python programming assessments. These assignments are conducted through quizzes, submission of written assignments, and the Jupyter Notebook environment.

This Professional Certificate is intended for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure. This Professional Certificate will help you develop expertise in designing and implementing data solutions that use Microsoft Azure data services. You will learn how to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. This program consists of 10 courses to help prepare you to take Exam DP-203: Data Engineering on Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Professional Certificate, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure. Applied Learning Project Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services. For example, when you learn about integrating, transforming, and consolidating data; you will work in a temporary Azure environment called the Sandbox or directly in the Azure Portal. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace. You will need a Microsoft account. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".

A Cloud Developer designs, builds, analyzes, and maintains cloud-native applications. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Developer role. Once you complete the path, check out the Google Cloud Developer certification to take the next steps on your professional journey. Applied Learning Project This specialization incorporates hands-on labs using our Qwiklabs platform. These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

In this Specialization, you’ll develop basic literacy in the language of business, which you can use to transition to a new career, start or improve your own small business, or apply to business school to continue your education. In five courses, you’ll learn the fundamentals of marketing, accounting, operations, and finance. In the final Capstone Project, you’ll apply the skills learned by developing a go-to-market strategy to address a real business challenge.

A growing number of exciting, well-paying jobs in today’s security industry do not require a college degree. This Professional Certificate will give you the technical skills to become job-ready for a Cybersecurity Analyst role. Instructional content and labs will introduce you to concepts including network security, endpoint protection, incident response, threat intelligence, penetration testing, and vulnerability assessment. Cybersecurity is one of the most in-demand career fields. ● According to CyberSeek, from June 2019  through May 2020, there were 171,000 openings for Information Security Analysts, but only 125,000 workers currently employed in those positions – an annual talent shortfall of 46,000 workers. On average, cybersecurity roles take 21% longer to fill than other IT jobs. ● The U.S. Bureau of Labor Statistics expects 31% hiring growth for Cybersecurity Analysts between 2019 and 2029, growing much faster than average in other careers. You should be comfortable working with computers, be willing to develop new technical skills, and enjoy collaborative problem solving and communicating solutions. By the end of this program, you will have completed a real-world security breach hands-on project and applied concepts through industry tool virtual labs to provide you with the confidence to start a career in cybersecurity. This program is ACE® approved and FIBAA recommended - you can earn up to 10 college credits and up to 4 ECTS credits. Applied Learning Project Throughout the program, you will use virtual labs and internet sites that will provide you with practical skills with applicability to real jobs that employers value, including: Tools: Wireshark, IBM QRadar, IBM MaaS360, IBM Guardium, IBM Resilient, i2 Enterprise Insight Analysis Labs: SecurityLearningAcademy.com Libraries: Python Projects: Investigate a real-world security breach identifying the attack, vulnerabilities, costs and prevention recommendations.

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

Welcome to Finding Purpose and Meaning in Life: Living for What Matters Most! In this course, you’ll learn how science, philosophy and practice all play a role in both finding your purpose and living a purposeful life. You will hear from historical figures and individuals about their journeys to finding and living a purposeful life, and will walk through different exercises to help you find out what matters most to you so you can live a purposeful life. As an added benefit, you will also have complimentary access, for a period of time, to the Purposeful App. This groundbreaking mobile and desktop app is designed to help you build a purposeful rhythm into each day, so you can bring your best self to what matters most. Look for more information in Week 1 of the course! By the end of this course, you will: 1. Understand that having a strong purpose in life is an essential element of human well-being. 2. Know how self-transcending purpose positively affects well-being. 3. Be able to create a purpose for your life (don't be intimidated, this is different from creating "the purpose" for your life). 4. Apply personal approaches and skills to self-change and become and stay connected to your purpose every day. We are thrilled that you are here! We look forward to hearing and learning from you throughout this course!