Courses
ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More
Have you been hearing about the amazing things people are doing with AI but you don't know where to start?Are you ready to instantly write entire video scripts, presentations, online courses, targeted ads, social media posts, newsletters, podcasts, project outlines, E-books, personalized emails, job proposals, articles, lesson plans, language translations, SEO keywords, meal plans, custom schedules, summaries, startup ideas, market insights, mock interviews, personal bio's, essays, quizzes, E-commerce copy, content ideas, to-do lists, branding guidelines, financial plans, company slogans, contracts, creative stories, blogs, code, business plans, song lyrics, resumes, cover letters, tutorials, reviews, product descriptions, advertisements, and marketing campaigns?Perfect! You've made it to Udemy's bestselling Chat GPT course![ NEW 2023 UPDATE: We've just added 3 hours of brand new content, a complete 17 page Prompt Engineering Guide, new Chat GPT Chrome extensions, an entire section on Chat GPT Plugins, and 60 brand new video lessons! ]In this complete AI guide, we'll work together to develop your skills with Chat GPT 3.5, GPT-4, Chat GPT Plugins, Bing, Midjourney, DALL-E 2, Zapier, Notion AI, and 25 other extremely useful AI tools to make you more efficient and effective than ever. By the end of this course, you will have learned the following skills: Chat GPT: Fundamentals and 150+ Prompting Ideas for Chat GPTBasics of Chat GPT, including an introduction to the platform, a comparison with other AI tools, and a walkthrough of the website layout and interface. You'll learn how to create effective prompts and modify outputs for better results. We'll also guide you through a learning exercise where you'll create your own Chat GPT prompts. Getting started with Chat GPTUnderstand the world of prompt engineering Collaborate with your new AI assistant Chat GPT: Simplify Complex Information, Prompt Engineering, and 17 Page Prompting PDFSummarize dense text, rewrite text for a specific audience, and quickly summarize videos. We'll also cover health optimization, language translation, proofreading, and data re-organization techniques like basic and advanced text classification; and named entity recognition. You'll learn to build charts, work with spreadsheets, and review and improve your writing. Additionally, we'll cover how to create different types of questions, such as essay questions, multiple-choice, and true or false. Synthesize, summarize, and personalize text for your specific audiences Transcribe and summarize entire videos in seconds Generate specific prompts for your own use cases Chat GPT: Content Creation, Social Media, Copywriting, Video Scripts, and Automations with Zapier Create compelling content faster than ever using Chat GPT and Zapier. We'll cover various writing mediums such as articles, blogs, essays, ad copy, social media scripts, and sales copy. You'll learn how to create an original song with chords and lyrics, a podcast script, and content for specific niches. We'll teach you how to optimize your content for SEO and keywords, create effective product descriptions, and develop social media posts. You'll work on a case study to create icons and learn how to write effective ads and landing pages. Create unique and engaging content in a heartbeat Perfect your copy for your specific needs with prompt engineering Learn to generate in bulk so you can be more productive than ever Chat GPT Plugins: Quickly Learn, Research, Prepare for Job Opportunities, and More Use Chat GPT Plugins for learning and research purposes. You'll learn how to focus on your niche, ask questions to grow your business, prepare for a job interview, and learn from others' success. We'll also cover general learning and tutorials, text, and article analysis, solving complex math problems, and writing essays. You'll work on a learning activity to synthesize information. Leap into the future of learning at lightning speed using Chat GPT Plugins Personal and market research re-defined Solve equations, run realistic mock interviews, and use AI to put your best foot forward Chat GPT: Code Generations, Algorithms, Debugging, and Documentation This chapter is for those curious about coding and will teach you how to use Chat GPT for code generation, algorithms, documentation, and code debugging. We'll guide you step by step through examples, and you'll learn how to improve your programming skills with Chat GPT. Explore and own the world of AI coding10x your productivity by deligating to Chat GPTEmbrace the incredible speed of working with AIMidjourney: Setup, Settings, Workflow, Commands, Prompting, and Stylization We delve deeper into the world of generative art, exploring the concept of reiteration, upscaling, and remixing. We take a closer look at the reiteration of outputs and discuss how this can enhance your artwork. We then move on to discuss the process of upscaling and how to create larger and more complex pieces. We also touch on the concept of remixing and how it can be used to create new and exciting art. Finally, we explore more stylization techniques and discuss how they can be applied to your artwork. Bring your imagination to life with simple text Remix existing images with your wildest ideas Open the floodgates to your dreams with generative art prompts Midjourney: Reiterating, Upscaling, Aspect Ratios, and Remixing Continue our exploration of generative art and focus on more unique ways to create using advanced parameters. We start by taking a closer look at model version parameters and discuss how they can be used to create more complex and varied pieces. We then move on to advanced prompt parameters and demonstrate how to fine-tune your artwork. We also explore the concept of using reference photos in your artwork, including blending two reference photos together to create something truly unique. Finally, we take a look at how generative art can be used in advertising and share a case study on bulk character creation. Customize your artwork using advanced prompt modifiers Iterate to perfection getting your pieces just right Explore the endless avenues generative art can take you down DALL-E 2: Website Interface, Layout, Prompting, Creating Variations Learn how to use DALL-E 2 and explore its website interface and layout. We'll show you how to use the prompting feature and create variations with different parameters. You'll get to practice creating with example prompts and learn about the different types of prompts available. We'll walk you through the process of buying and selling prompts and provide you with resources for inspiration. You'll also learn about DALL-E 2 rules and keyboard shortcuts. Learn how to use its powerful prompting feature and create stunning visual variations. Navigate DALL-E 2's interface like a pro and discover the secrets of the prompt marketplace while exploring a wealth of inspirational resources. Discover the cutting-edge AI technology that's changing the game and gain valuable insights into the parameters and keyboard shortcuts that will take your creativity to the next level. DALL-E 2: Inpainting, Outpainting, and Blending Multiple Images Together Explore the amazing features of DALL-E 2, including inpainting, outpainting, and blending multiple images together. We'll teach you how to use these features to create stunning, unique art pieces. You'll learn how to combine multiple images to create something completely new, and how to use DALL-E 2 to create art in a way that would be difficult or impossible by hand. We'll show you how to blend two reference photos together and how to use the website's features to create something truly one-of-a-kind. By the end of this section, you'll have a deeper understanding of DALL-E 2 and how to use it to create your own art. Master the art of creating unique and visually stunning art pieces with DALL-E 2's powerful features Take your artistic creations to new heights by exploring the limitless possibilities of DALL-E 2 Dive into Dall-E 2's functions, allowing your creativity to soar the skies Generative AI for Gigs, Side Hustles, Freelance, Selling Items Online, and Notion AICreate additional revenue streams with various side hustle ideas and use the power of Notion AI. You'll learn how to create and sell merchandise, sell digital products, create news, recaps, tutorials, or how-to channels, answer questions on Quora and social media, and create online courses. We'll also teach you how to design logos, ideate for product creation, and write contracts for businesses. You'll work on a learning activity to come up with a new venture. Discover a wealth of side hustle ideas, and explore how to monetize your new AI skills Learn how to build your personal brand and gain exposure online, while also developing essential skills Put your newfound knowledge into practice with a learning activity that will guide you in ideating, planning, and launching a new venture, helping you to create additional revenue streams and achieve financial independence on your own terms. Generative AI for Business, Marketing Emails, Ideation, and Productivity Gain an understanding of how AI tools and Chat GPT are impacting the business world and explore methods to generate innovative business ideas. You'll receive guidance on creating unique product names, learn about insights for business communication and split testing, and how to draft commercial leases. Additionally, you'll learn how to utilize Chat GPT to promptly respond to emails and send out bulk marketing emails. Lastly, you'll work on a learning activity to help you create a brand-new product. Use prompt engineering to leverage the game-changing impact of AI in your favor Unlock a range of essential business skills, from crafting unique business ventures and optimizing communication strategies Use the power of cutting-edge technology to gain valuable insights into the latest trends and best practices for success. AI Video: ... (13918 total length)
The Data Science Course: Complete Data Science Bootcamp
The Problem Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. And how can you do that? Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming) Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture The Solution Data science is a multidisciplinary field. It encompasses a wide range of topics. Understanding of the data science field and the type of analysis carried out Mathematics Statistics Python Applying advanced statistical techniques in Python Data Visualization Machine Learning Deep Learning Each of these topics builds on the previous ones. And you risk getting lost along the way if you don't acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is. So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2023. We believe this is the first training program that solves the biggest challenge to entering the data science field - having all the necessary resources in one place. Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save). The Skills 1. Intro to Data and Data Science Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean? Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This 'Intro to data and data science' will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science. 2. Mathematics Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail. We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on. Why learn it? Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal. 3. Statistics You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist. Why learn it? This course doesn't just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist. 4. Python Python is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That's why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning. Why learn it? When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, Tensor Flow, etc, Python is a must have programming language. 5. Tableau Data scientists don't just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data's story in a way they will understand. That's where Tableau comes in - and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science. Why learn it? A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers. 6. Advanced Statistics Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail. Why learn it? Data science is all about predictive modelling and you can become an expert in these methods through this 'advance statistics' section. 7. Machine Learning The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with Tensor Flow. Why learn it? Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines. ***What you get***A $1250 data science training program Active Q & A support All the knowledge to get hired as a data scientist A community of data science learners A certificate of completion Access to future updates Solve real-life business cases that will get you the job You will become a data scientist from scratch We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it. Why wait? Every day is a missed opportunity. Click the "Buy Now" button and become a part of our data scientist program today.
![Course Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023] cover](https://img-c.udemycdn.com/course/480x270/950390_270f_3.jpg)
Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2023]
Interested in the field of Machine Learning? Then this course is for you! This course has been designed by a Data Scientist and a Machine Learning expert so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. Over 900,000 students world-wide trust this course. We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course can be completed by either doing either the Python tutorials, or R tutorials, or both - Python & R. Pick the programming language that you need for your career. This course is fun and exciting, and at the same time, we dive deep into Machine Learning. It is structured the following way: Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLPPart 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCAPart 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Each section inside each part is independent. So you can either take the whole course from start to finish or you can jump right into any specific section and learn what you need for your career right now. Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.
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