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Are you looking to leverage new technology to boost productivity at work? Would you like to learn how to optimise your business processes to become more efficient? Do you need help to scale your business to improve ROI? If so, this is the course for you! In the business world today, generative AI has seen advances that could mean great things for small and large businesses. This new technology uses neural networks to engage in human-like behaviours, which could benefit companies like yours looking to scale their operations while reducing costs. With the correct implementation, you can expect to see reduced time for your workers to complete tasks, while also boosting customer satisfaction. Considering that a study showed almost 90% of companies believe AI is important in achieving revenue growth, increased operational efficiency, and improved customer experience, it is imperative your business follows the trend. Throughout six short video-based lectures, we will delve into the transformative power of generative AI and its immense potential to elevate your company's productivity to new heights. We begin by understanding the core concepts of generative AI and how it can be strategically implemented to drive innovation and efficiency within your organisation. Next, we explore the vital distinction between growth and scaling, equipping you with the knowledge to make well-informed decisions that will fuel your business expansion. Moreover, we address the critical aspect of maximising revenue while minimising costs, and presenting effective strategies to achieve sustainable financial success. Following this, you will focus on optimising your existing business processes, leveraging generative AI to streamline operations and enhance overall performance. We will explore how by integrating AI into your daily activities you will uncover innovative ways to save costs and increase Return on Investment (ROI). We will also specifically delve into the benefits of ChatGPT as a powerful tool to boost efficiency in various domains, such as customer support, content generation and decision-making. Through real-world case studies and practical exercises, you will gain hands-on experience in harnessing the full potential of generative AI, empowering you to transform your company's productivity and drive it towards unparalleled success in today's fast-paced business landscape. So, are you ready to push your business into the future and revolutionise your processes? Enrol now to learn more!

The Midjourney in Practice Course is your complete journey to master image creation using artificial intelligence. With practical video lessons and advanced strategies, you'll unlock your creative potential and achieve incredible results.

In this crash course, we will focus on the technologies that are leveraging Fintech. We will discuss why innovation is important and why is innovation speed important. We will then talk about AI, Blockchain, Cloud and Data Analytics and why are these technologies important in Fintech. Also, very important, we will talk about Cybersecurity! After this course, you will be more comfortable dealing with any Fintech related project. Course content: What is Fintech? Why is important to have innovation? What are the technologies enabling Fintech? What are the ABCD technologies – AI, Blockchain, Cloud and Data Analytics? Why is the cloud so important to innovate in Fintech? How to be Agile on the Cloud? The differences between IaaS, PaaS, FaaS (Serverless) and SaaS The advantages of using Cloud What are the best cybersecurity practices in the industry? How to migrate to the cloud? We will also focus on cloud and we will understand the different types of clouds. Cloud providers such as AWS, Azure and Google Cloud, provide the necessary infrastructure to quickly experiment and innovate in the Fintech space. How can we use the cloud to innovate? What are the differences between IaaS, PaaS, FaaS and SaaS? What are the advantages of using the cloud? Once we understand well what the cloud is, we will address the best cybersecurity practices when using the cloud. Cybersecurity is very important for the financial industry and we will talk about the most important security items. Finally, we will talk about migrating to the cloud and how to do it from the project perspective. This short course condenses the most important knowledge regarding Fintech and Cloud and how to innovate and be secure on the cloud. If you don’t have much time available, this course is the best bang for your time and for your buck.

Get ready to build, train, and deploy intelligent systems that can revolutionize various industries and solve complex problems. Are you fascinated by the world of artificial intelligence and machine learning? Do you want to unlock the power of neural networks and learn how to build intelligent systems? Look no further! Join our comprehensive course on building, training, and deploying neural networks with TensorFlow, the leading framework for deep learning in Python. In this course, you will embark on an exciting journey that will take you from the fundamentals of TensorFlow to creating your very own neural networks. Whether you are a beginner in machine learning or an experienced developer looking to expand your skillset, this course is designed to cater to learners of all levels. No prior knowledge of TensorFlow or deep learning is required! Why choose this course? - Practical approach: We believe in hands-on learning, and this course is packed with real-world examples and projects that will reinforce your understanding of TensorFlow and neural networks. - User-friendly structure: Our course is organized into ten engaging lessons, allowing you to progress step-by-step at your own pace. Each lesson builds upon the previous one, ensuring a seamless learning experience. - Python-powered: Python is the language of choice for machine learning, and this course leverages its simplicity and versatility to teach you the concepts and techniques required to build powerful neural networks. What will you learn in comprehensive and user-friendly course? - Course Overview: Get acquainted with the course structure and objectives, setting the stage for your deep learning journey. - Why Learn TensorFlow: Discover the significance of TensorFlow in the world of AI and machine learning, and learn why it's the go-to framework for neural networks. - Setting up the TensorFlow Environment: Learn how to install and configure TensorFlow on your machine, ensuring a smooth development experience. - AI and Machine Learning Concepts: Build a strong foundation by exploring essential concepts in artificial intelligence and machine learning. - Applying the Machine Learning Workflow with TensorFlow and Python: Understand the end-to-end process of building machine learning models using TensorFlow and Python, from data preparation to model evaluation. - Understanding Neural Networks: Dive deep into the world of neural networks, understanding their structure, components, and functioning. - Building and Training Your First Neural Network: Roll up your sleeves and start building! Learn how to design and train your very own neural network using TensorFlow. - Monitoring and Improving Neural Network Performance: Discover techniques to monitor and evaluate the performance of your neural network, and explore strategies to enhance its accuracy and efficiency. - Deploying Your Neural Network: Learn how to deploy your trained neural network into production environments, making it available for real-world applications. - Final Words: Wrap up the course with a recap of the key concepts and insights gained, and explore avenues for further exploration and growth in the field of deep learning. Example Projects: - House Price Prediction: Harness the power of neural networks to predict house prices based on their sizes, gaining insights into regression tasks. - Cloth Type Identification: Develop a neural network that can identify different types of clothing items from images, opening doors to image classification techniques. Don't miss this golden opportunity to unlock the power of artificial intelligence and machine learning. Enroll now and take your first step towards becoming a TensorFlow hero!

This course is designed for beginners who have no prior programming knowledge but are interested in learning about the power of natural language processing and how to use it to enhance their business operations, content creation and writing code with ChatGPT. In this course, you will learn how to use pre-trained ChatGPT models and generate high-quality content for your business. You will also learn how to use the ChatGPT to help you with day to day tasks. Throughout the course, you will work on practical projects that will help you apply your knowledge in a real-world setting. You will learn how to use ChatGPT for tasks such as: - Generating product descriptions, blog posts and social media content - Creating high quality marketing content & materials - Generating responses to customer inquiries - Enhancing customer engagement through chatbots - Writing code or even.. build websites with ChatGPT By the end of the course, you will have a solid understanding of how ChatGPT works and how to use it to enhance your business operations, content creation, and design. You will also have the skills and knowledge needed to continue exploring the world of natural language processing and AI. You Don't need any programming skills to write code using Chat GPT Whether you're a beginner or an experienced developer, the ChatGPT course has something for you. I will guide you step-by-step through the process of building and deploying websites or apps using GPT-3, and you'll have access to a wealth of resources and support to help you along the way. Don't miss out on this opportunity to learn from the best and take your skills to the next level. Enroll in the ChatGPT course for today and start building.

Becoming Data Science professional (Data Scientist) is a long journey and need guidance from seasoned Data Science professional (Chief Data Scientist). We are trying to manage the journey such a way that you learn right skills and in the right way. The whole concepts of the course are to make you ready for Data Science projects, mainly in Machine learning and AI projects. You will learn 1. Foundation of Machine learning 2. Supervised Machine learning - Regression 3. Supervised Machine learning - Classifications 4. Unsupervised Machine learning (Clustering, KNN, PCA) 5. Text Analytics 6. Time Series 7. RShiny

Welcome to the comprehensive course on building chatbots with OpenAI! Chatbots have revolutionized the way businesses and individuals interact with users, providing efficient and personalized experiences. In this course, we will take you on a step-by-step journey, starting from the basic concepts of APIs and testing OpenAI APIs using tools like Postman, to creating fully functional chatbots using HTML, JavaScript, and CSS. By the end of this course, you will possess the skills and knowledge to develop and deploy your own chatbot. The course begins with an introduction to APIs and how they form the backbone of chatbot development. You will learn how to utilize Postman to test OpenAI APIs and configure the environment for seamless integration. Through hands-on exercises, you will gain proficiency in setting up workspaces, collections, and API keys, enabling you to interact with OpenAI models effectively. As the course progresses, you will dive into the world of chatbot development, exploring the different models provided by OpenAI, such as GPT-3.5 Turbo, and understanding how to leverage them to create engaging conversational experiences. You will learn how to define user and system rules, customize messages, and guide the behavior of your chatbot. Furthermore, you will discover how to integrate your chatbot into web pages, enabling users to interact with it seamlessly. With the use of HTML, JavaScript, and CSS, you will have the power to shape the user interface and enhance the overall user experience. The course will guide you through the process of uploading your chatbot to live servers, allowing you to share your creation with the world. By the end of the course, you will have gained the confidence to build chatbots that can understand and respond to user queries, provide recommendations, and even simulate human-like conversations. Join us on this immersive journey as we unlock the potential of chatbot development with OpenAI. Get ready to harness the power of artificial intelligence and create chatbots that transform the way we engage with technology. Enroll now and embark on an exciting adventure into the world of chatbot creation!

Machine learning is a subset of artificial intelligence that is at the forefront of digital transformation in the world. Thanks to machine learning, it is now possible to detect diseases, know the defaulters of a loan and know the future sales of a product. All these information can be had proactively and not as an after the fact scenario. Machine learning and artificial intelligence-based roles are in great demand in the job market and such roles offer a higher salary than traditional programming roles. This course covers the concepts of machine learning as well as the application of these concepts using case studies and examples, along with a walk through of the python codes. Python programming is also covered for the benefit of those who are new to python and those who want to refresh some of the topics in python. The following algorithms are covered in detail: - Simple and multiple linear regression - Logistic regression - Decision tree, Random forest and XG boost - Unsupervised algorithms - Cluster (kNN based) and Hierarchical. Learners will also understand how to develop the above machine learning in a cloud environment. They will learn not just to code in cloud but also to access the data stored in cloud. This will be particularly helpful to learners since many organizations are adopting cloud at a fast pace. A key aspect of the course is the coverage of Exploratory Data Analysis (EDA). EDA covers the set of activities that you do before you start the ML project. Lastly, how to pursue a machine learning project has been covered. This course is taught by an industry veteran, who brings his vast experiences and practical perspectives into the program.

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Our Beginners Guide to Generative AI is a great starting point for beginners or creators that want to start to get their feet wet in the world of generative AI. 2023 has been a breakout year for CHATGPT-4 and Microsoft New Bing, but the power of Artificial Intelligence goes beyond text responses. Generative Artificial Intelligence (AI) is one of cutting edge applications from Images, Music, Popular voice covers of Donald Trump, and Video. Many people have heard of CHATGPT4, which is primarily focused on providing text responses back to uses. Our beginner's course will cover other platforms such as Adobe Firefly (Beta), Midjourney, and Dalle to provide you the landscape and practical knowledge in this field. Adobe Firefly also provides additional applications like Text Effects and Vector colours and creatives will get early exposure to these beta applications. Adobe Photoshop Beta Generative Fill has been released with AI capabilities covered in this course. We will also teach you how to get started using AI to convert your favourite songs to popular AI voices like Joe Biden, Donald Trump, Drake & more using Voicify. We also also get you started creating your own music beats for use in your social media using the platform soundful. The end game points to text to Video. An in our text to video section we will give you an introduction to the text to Video application of Synthesia where you can create videos with AI avatars in multiple languages and export/import your videos into powerpoint slides and vice versa. We will even show you show to edit these video downloads in Final Cut Pro and Adobe Premiere Pro

Want to be a game developer? Want to learn artificial intelligence? Want to build mobile games? If you answered yes, this course is for you! Funded by a #1 Kickstarter Project by Mammoth Interactive Welcome to Mammoth Interactive's Complete Unity® Masterclass: Build 2D & 3D AI Games with Glauco Pires. You will learn how to make 3 complete games in Unity and C#! In the first part of this course, you will learn to use the A* algorithm to make a 2D game in Unity 2017.3. Learn to code for game development in Unity C#. Make a game that uses artificial intelligence. Make a path-finding algorithm. Use the A* algorithm to make a 2D game in Unity. A Super Tank on a maze will find the best way to go to a point you click. The tank will collect objects along its path. The A is the base algorithm for path finding. A is artificial intelligence that will find a path. This algorithm has existed for decades. You can use A* in many different platforms, programming languages and more. A* is also important to avoid dangers like a cliff while getting to a destination. As well - suppose a game's level has two paths. You can program your artificial intelligence player to think on its own. It can choose a better path to avoid monsters and other obstacles. Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses: Learn artificial intelligence by building games and apps ​The Complete 2D Unity & AI for Games with Algorithms Course Learn Unity AI by Making a Tank Game​! Make a Starship Unity Game Powered by Artificial Intelligence The 2D, 3D & AI Games Frontier: NavMesh, Unity & Illustrator Make a Ninja Survival game for mobile in Unity and Blender Practical Unity Developer Academy: Make Fully Featured Games A to Z Unity Development: Code in C# and Make Low Poly Art C# & Image Processing Masterclass: Make Mobile Games & Apps Build 22 Games in GameMaker Studio, C# Unity® & Blender C# Masterclass: Make RPG & Mobile Games in Unity & Blender In the second part of this course, you will program a spaceship in a three-dimensional game. With artificial intelligence your ship character will learn to explore a planet. The ship will travel around craters, rocks, aliens and buildings in a 3D world. Use a navigation mesh to add pathfinding logic to your game. Code in C#. Learn cutting-edge tools that will put you ahead of other developers. In the third part of this course, you will learn how to build a Ninja game for mobile using Unity® and Blender. The Complete Unity® Masterclass: Build 2D & 3D AI Games is unique because we make both the code and the art for the game from scratch. Integrate art from Blender into Unity®. Build video game levels. UV map and unwrap 3D models. Create your own materials. And more! You will design the game and its functionality in Unity®. Don't worry if you've never coded before. You will start simple and add more to the game as the course goes on. Why Unity®? Unity® is one of the most popular platforms in game development. You can use Unity® to build 2D and 3D games. Unity® is cross-platform, which means it is easy to use with other platforms. You create game art for the game in Blender. You will build all the art assets for the game. You will learn to integrate your art from Blender into Unity®. Why Blender? Blender, like Unity®, is a popular production suite that is free to download. Blender is a revolutionary tool for making 3D art digitally. With Blender, you can make art assets for games, like we do in this epic Mammoth Interactive course. Enroll Now for Lifetime Access

Artificial Intelligence, Deep Learning, Machine learning and Data Science are buzz words that you would hear quite often these days. These area provide good number of job opportunities and it very much essential that you understand the fundamentals concepts of these when facing an interview. This course aims to feed you with confidence to face a coding interview on Machine Learning and Deep Learning. We shall walk over 50+ interview questions with hands-on code and prepare you for the same. All of the code is written in Python and will focus to explain the concepts from scratch. - Do you know, About half a million job openings are available across the globe. Data Science and ML engineer are the job roles with most openings - Harvard Business Review has stated that "Data Science" as most attractive job of the 21st century. - last but not the least The Salary bar in this domain is also quite high than regular IT professionals. In-fact, The demand for these niche skills are 10 times more than the number of graduates passing out of the college. Given so much of background on need to adopt this skill, would you not take a shot at it ..? I would recommend that, Whichever is your career path just club it up with AI and then accelerate . So why wait? Lets get Started.