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In this comprehensive course, you'll dive deep into the world of Claude 3.5, Anthropic's state-of-the-art language model. Whether you're a seasoned developer or just starting your coding journey, this course will equip you with the skills to create intelligent, responsive, and innovative applications that leverage the full capabilities of Claude 3.5. Why This Course? - Practical, Hands-On Learning: Build real-world projects that showcase the diverse applications of Claude 3.5, from natural language processing to image analysis and beyond. - Comprehensive Coverage: Master every aspect of the Claude 3.5 Python API, including advanced features like streaming, JSON mode, and function calling. - Industry-Relevant Skills: Learn techniques used by top AI developers to create cutting-edge applications that stand out in the job market. - Expert Instruction: Benefit from clear, concise explanations and best practices shared by an experienced AI developer. - Capstone Project: Apply your new skills to build a sophisticated stock analysis tool, demonstrating your expertise to potential employers or clients. By the end of this course, you'll have the confidence and capability to: - Develop AI-powered applications that can understand and generate human-like text - Integrate image processing and analysis into your projects - Create tools that can reason about and manipulate structured data - Build real-time, responsive AI systems using streaming capabilities - Implement advanced AI features that will set your applications apart Don't miss this opportunity to position yourself at the forefront of AI technology. Whether you're looking to advance your career, enhance your current projects, or explore the exciting world of AI development, this course is your ticket to success. Enroll now and start your journey to becoming an Anthropic Claude 3.5 API master!

This course with teach the viewer the Fundamentals of AI & ML with the level of detail required for beginners. The course is effective and is a good introduction for the viewer to Unlock the Power of AI & ML . Requirements: Actionable and clear breakdown of what is needed to take this course: - Students would just need keen interest in AI & ML and basic computer knowledge to take the course. - Software required to play the video files is the default/basic software that exists pre-installed on all computers, laptops, tablets and mobile devices today that can play the MP4 video files. The course is a video tutorial with voice, text and graphics to bring out content and messages very clearly and comprises of 7 videos: Video-1 - Episode-1: Introduction to AI (Artificial Intelligence) - What is AI - Difference between AI & ML - Why is AI/ML Important - Types of AI - Tools or software to build AI - Applications of AI Video-2 - Episode-2: ML (Machine Learning) Basics - What is ML - Types of ML - Model training and evaluation - ML Applications Video-3 - Episode-3: Neural Networks & Deep Learning - What are Neural Networks - What is Deep Learning - Difference between Neural networks & Deep Learning - Applications of Neural Networks - Applications of Deep learning Video-4 - Episode-4: Neural Networks (deep-dive) - Types of Neural Networks - Neural Network Architecture - Backpropagation algorithm - Activation functions Video-5 - Episode-5: Deep Learning (deep-dive) - Deep learning applications - Deep learning frameworks Video-6 - Episode-6: AI Ethics & Future - Ethical issues related to AI - Bias in AI - AI governance - AI job displacement - Future of AI Video-7 - Thank You Message Thank you for attending this introductory course in AI and ML! We hope you found it informative and engaging, and that you are leaving with a better understanding of the basic concepts and applications of these exciting fields. Remember, this is just the beginning of your journey into the world of AI and ML, and there is so much more to learn and explore. We wish you all the best in your endeavours, and we hope that you will continue to explore and stay curious about the latest developments in AI and ML. In addition, we would like to remind you to check out our comprehensive AI and ML glossary, which can also be downloaded for future use. This glossary is a valuable resource that can help you navigate the complex terminology and concepts in the world of AI and ML, and we am sure you will find it to be a useful reference as you continue your learning journey Glossary This glossary provides a basic understanding of key terms used in AI and ML, and can serve as a useful reference for those looking to further their knowledge in these fields. Artificial Intelligence (AI): The simulation of human intelligence in machines, allowing them to perform tasks that would normally require human intelligence, such as perception, reasoning, learning, and problem-solving. Machine Learning (ML): A type of AI that enables machines to learn from data and improve their performance over time, without being explicitly programmed. Deep Learning: A type of ML that uses neural networks with multiple layers to process and analyze data, allowing machines to learn and make decisions in a manner similar to humans. Neural Networks: A system of interconnected nodes, or artificial neurons, that process information and can be used for tasks such as image recognition, natural language processing, and decision-making. And Much More!

In this course using flutter null safe code we will develop 15+ ai mobile applications. GetX is an extra-light and powerful solution for Flutter. It combines high-performance state management, intelligent dependency injection, and route management quickly and practically. Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values. Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. While traditional machine learning algorithms are linear, deep learning algorithms are stacked in a hierarchy of increasing complexity and abstraction. Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Flutter is Google's UI toolkit for building beautiful, natively compiled applications for mobile, web, desktop, and embedded devices from a single codebase. Flutter is Google's portable UI toolkit for crafting beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. Flutter works with existing code, is used by developers and organizations around the world, and is free and open source.

Ever fancied making AI your sidekick at work? Whether you're spearheading a project or knee-deep in the tech world, let's turn the complex art of Generative AI and Prompt Engineering into your playground. This course is all about rolling up your sleeves and getting hands-on with OpenAI's ChatGPT — but with a twist. It's less lecture, more action, and packed with the kind of know-how that transforms you into a prompt-engineering whiz. Here's the scoop: While other courses might bog you down with endless examples, we’re on a mission to equip you with the smarts to create your own. It's not just about taking notes; it's about you becoming the architect of your own AI masterpieces. We’ll kick off with the basics — picture it as Prompt Engineering 101 for beginners — laying down the groundwork in a way that’s totally digestible. From there, we’ll navigate through the ins and outs of ChatGPT, peeling back the layers to reveal the mechanics of crafting prompts that hit the mark every time. As we venture further, you'll master the art of wielding ChatGPT for a whole host of business applications. Whether it’s penning perfect prose, sparking off-the-wall ideas, or slicing through data, you'll learn to leverage this tool to its full potential. Expect to walk away with skills that make you a beacon of productivity and innovation in any business setting, especially if you're at the helm leading a team. When you cross the finish line of this course, you’ll have more than just expertise in Generative AI; you’ll have the confidence to apply this tech wizardry to elevate your work, whether in writing, research, or analytics. And let's not forget the cherry on top: a hefty boost to your AI communication skills, making you an asset in the ever-evolving digital workspace. So, if you're game for an upgrade to your career that blends AI smarts with practical know-how, let’s jump in. This isn't just learning; it's about becoming a maestro in a world where AI and human creativity meet. Ready to unlock the potential? Let's go!

Welcome to a course where you will learn how to start a new business in energy, finance, real estate, design, engineering or ecology, while helping to make a positive impact on the environment and the health of people around the world. We will bring together tools, trends and advice from the field of entrepreneurship as a career path that can change lives for the better and create wealth in the renewable energy and green building sectors. This is not a course about theory. Instead, we will focus on real-world application, step-by-step advice and concrete examples. After completing this course, students will be able to: - Identify the key opportunities, challenges and potential solutions in the renewable energy and green building sector; - Analyse a successful renewable energy or green building business; - Identify 2-3 problems that you could solve with a renewable energy or green building product or service. - Create a plan for reaching out to investors who might fund your new business. - Take the first real steps toward launching a new business or corporate initiative by using the 1-page business idea summary template and business model canvas to create and refine your own new business ideas.

Have you ever wondered how products and services are created exactly the same thousands of times? And how do companies fine-tune their operations to produce products efficiently, effectively, and without waste? How is such precision possible? The answer lies in the core of operations. In Supply Chain Operations, we will introduce you to the key process improvement tools and apply them to achieve excellence. By the end of this course, you will be able to apply Six Sigma methodology to process improvement. You will demonstrate that you understand the fundamental principles of Lean, which enables manufacturers to eliminate waste and make processes more efficient. Finally, you will be able to apply the tools you have learned to improve your own process. This introductory course is designed to give you a head start on your learning journey in operations. You do not need to have previous experience in operations, but it would be helpful if you had a basic understanding of business concepts, familiarity with spreadsheets, and ideally, completed the Supply Chain Logistics course. Join me as we explore operations together!

In this course, you will learn how to program in R and how to use R to effectively analyze data. You will learn how to install and configure the software needed to work in a statistical programming environment, and will also describe the general concepts of the programming language as they are implemented in a high-level statistical language. The course covers practical topics in statistical computing, which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. The topics in statistical data analysis will include worked examples.

In this course you will learn: - Explore the application areas of GANs and consider them in terms of data augmentation, privacy, and anonymity - Use an image-to-image translation framework and identify its application in modalities other than images - Implement Pix2Pix, a pairwise image-to-image translation GAN, to adapt satellite imagery to mapping routes (and vice versa) - Compare pairwise image-to-image translation with unpaired image-to-image translation and identify how their key differences require different GAN architectures - Implement CycleGAN, an unpaired image-to-image translation model, to adapt horses to zebras (and vice versa) using two GANs in a single system The DeepLearning Generative Adversary Networks (GANs) in Artificial Intelligence specialization offers a fascinating introduction to image generation with GANs, leading the way from fundamental concepts to advanced techniques in an easy-to-understand approach. It also covers social implications, including bias in ML and how to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience with GANs. Train your own model using PyTorch, use it to generate images, and evaluate various advanced GANs. This specialization provides an accessible path for students of all levels who want to enter the GANs field or apply GANs to their own projects, even without prior exposure to advanced mathematics and machine learning research.

The Project Management Fundamentals course provides a comprehensive overview of essential concepts and skills behind project management, leading you through the role of a project manager. There is a focus on the processes and methodologies used to ensure effective project management as well as different approaches to ensure smooth planning and execution to realize business goals. After completing this course, you'll be able to: • Describe the basic concepts and principles of project management • Identify and analyze the different approaches taken to project planning • Discuss the value and benefits that a project management office (PMO) can bring to an organization This is a great way to prepare for the industry-recognized PMI® Authorized PMP® Exam, a global standard in project management certification.

Understanding the Enterprise Systems Environment is the second course in the SAP Technology Consultant Professional Certification program. The course develops your understanding of the digital landscape. You will learn business processes and organizational alignment. You will gain insight into how systems are designed and developed, and will cover architecture, infrastructure, application development, data science, cloud, privacy, and security. You will deepen your understanding of the SAP platform and review the main development and deployment models, including Advanced Business Application Programming (ABAP), Java, SAP API, and SAP Fiori. Additionally, you will learn gap analysis with SAP RISE and Activate and become familiar with SAP cloud computing strategy, architecture, and tools. By the end of this course, you will be able to: Describe how digital transformation can impact a customer’s organization, business processes, and tools (people/processes/tools). Identify the key elements of systems design and development and how they relate to specific IT requirements. Identify different computing models (e.g., AIS, OnPrem, Cloud, etc.) and architectures (e.g., Native, Hybrid, Multi-Cloud). Explain the main elements of the SAP platform and environment. Describe the main application, development, and programming models. Explain the main elements of the SAP cloud strategy. Understand the key questions to keep in mind when faced with a specific request from a potential customer.

Ready for more?! This is the second course of the Google Cloud Cybersecurity Certificate. Crack the code of security and compliance! ️ This course is your decoder ring to unlock the world of security domains, frameworks, and data privacy. Discover the secret language of risk, controls, and the trio of compliance: people, process, and tech!

Digital transformation is a hot topic, but what exactly is it and what does it mean for companies? In this course, developed at the University of Virginia Darden School of Business and led by leading Darden faculty and global management experts from the Boston Consulting Group, we tackle digital transformation in two ways. First, we discuss the pace of change and the imperatives it creates for business. Then, we provide the context for this transformation and what it takes to win in the digital age. Then, we review BCG’s proprietary framework to help you identify key areas for digital transformation, including strategy, core processes, and technology. By the end of this course, you will be able to: -describe the economics behind innovation, technology, and market disruption -weigh the pros and cons of today’s digital technologies that are driving growth -use BCG’s digital transformation framework as a “how to” guide to digitally transforming your organization