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Delve deeper into the processes and concepts behind APIs and their infrastructure. Explore the key concepts that underpin API development and the principles of representational state transfer architectural style (REST) architecture. Build basic API and REST data backbones for web apps using Django. Discover emerging API technology and practice other ways to build and work with APIs. Finally, you will test, optimize and develop documentation for an API. By the end of this course you will be able to: • Work with and build APIs • Build basic API and REST data backbones for web apps using Django • Discover emerging API technology • Test, optimize and develop documentation for an API To complete this course, you will need Django experience. Additionally, it always helps to have a can-do attitude!

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.

This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow. You'll also learn how to fine-tune Large Language Models (LLMs) using Hugging Face and understand the deployment of sustainable and efficient binary embedded models in the ONNX format, setting you up for success in the ever-evolving field of MLOps Through this series, you will begin to learn skills for various career paths: 1. Data Science - Analyze and interpret complex data sets, develop ML models, implement data management, and drive data-driven decision making. 2. Machine Learning Engineering - Design, build, and deploy ML models and systems to solve real-world problems. 3. Cloud ML Solutions Architect - Leverage cloud platforms like AWS and Azure to architect and manage ML solutions in a scalable, cost-effective manner. 4. Artificial Intelligence (AI) Product Management - Bridge the gap between business, engineering, and data science teams to deliver impactful AI/ML products. Applied Learning Project Explore and practice your MLOps skills with hands-on practice exercises and Github repositories. 1. Building a Python script to automate data preprocessing and feature extraction for machine learning models. 2. Developing a real-world ML/AI solution using AI pair programming and GitHub Copilot, showcasing your ability to collaborate with AI. 4. Creating web applications and command-line tools for ML model interaction using Gradio, Hugging Face, and the Click framework. 3. Implementing GPU-accelerated ML tasks using Rust for improved performance and efficiency. 4. Training, optimizing, and deploying ML models on Amazon SageMaker and Azure ML for cloud-based MLOps. 5. Designing a full MLOps pipeline with MLflow, managing projects, models, and tracking system features. 6. Fine-tuning and deploying Large Language Models (LLMs) and containerized models using the ONNX format with Hugging Face. Creating interactive demos to effectively showcase your work and advancements.

This Professional Certificate is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Professional Certificate teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This Professional Certificate teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on 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 will work directly in the Azure Portal and 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 training a deep neural network; you will work in a temporary Azure environment called the Sandbox. 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".

Prepare for a career in the high-growth field of IT project management. In this program, you’ll develop the skills and tools to have a competitive edge in the job market as an entry-level IT project manager in less than 3 months. No prior knowledge or experience is required. IT project managers track projects, manage risks, and work cross-functionally to support an organization’s IT infrastructure and software development. IT project managers often act as a liaison between the business and technical functions to drive high-impact projects to a successful completion. You’ll learn in-demand skills used by professional IT project managers including planning and managing projects, effective communication and leadership methods, agile methodologies, and gain a deep understanding of the concepts, tools, and language of project management. Alongside these crucial skills, you’ll receive foundational technical training in hardware, operating systems, software, cybersecurity, and cloud computing. In addition, you will be trained in software engineering fundamentals, Software Development Lifecycle (SDLC), software development tools, technologies, and stacks to set you up for success as an IT project manager. Upon completing the full program, you’ll gain access to career support resources to help you in your job search and you’ll earn a Professional Certificate from IBM to showcase your proficiency to potential employers. Applied Learning Project Throughout the IT Project Management Professional Certificate, we take the theory behind project management and apply it to real-world scenarios. This program consists of ample instructional content as well as hands-on exercises and real-world projects designed to hone your skills. In each course, there will be exercises to practice what you have learned. From building a timeline, tracking issues, or setting up a communications plan, we’ll provide realistic scenarios you might encounter in your future work as an IT project manager. The last course in the series is the Capstone course, designed for learners who have completed all the courses in the program. It gives the learner a chance to demonstrate their end-to-end knowledge of project management. By completing the program and the capstone, learners will be well-prepared to show off their skills in interviews and get job-ready as an entry-level IT project manager.

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Whether you are starting out or looking for a career change, the Intuit Academy Bookkeeping program prepares you for a variety of jobs in public accounting, private industry, government, and non-profit organizations—and for the Intuit Academy Bookkeeping exam. If you are detail-oriented and passionate about solving clients’ problems, this program is for you. You’ll gain a foundational understanding of accounting principles and an introduction to QuickBooks Online through hands-on practice working with real-world accounting scenarios. Upon completion, you’ll be ready to take the Intuit Academy Bookkeeping exam. With this certification, you will be qualified to apply for a position as a bookkeeper at Intuit QuickBooks Live or anywhere in the field. To learn more, visit. Build a foundation of bookkeeping concepts and accounting measurement. Learn how to work through the phases of the accounting cycle to produce key financial statements. Practice interpreting and analyzing financial statements to make key business decisions. You will need access to spreadsheet software (Excel, Google Sheets, Numbers or the equivalent) for some activities in this course. No previous accounting or bookkeeping experience necessary. Disclaimer: While this program aims to provide you with bookkeeping skills, completion is not a guarantee, or condition, of employment at Intuit or in the bookkeeping field. Applied Learning Project In this program, you will dive deep into realistic customer scenarios to apply your knowledge of bookkeeping and accounting. You’ll get to review and reconcile accounts, record business transactions, and balance books to produce key financial statements for a variety of business types. If you are looking to take the QuickBooks Online ProAdvisor Certification exam, sign up for the ProAdvisor Program or log into your existing QBO Accountant subscription.

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future. This course is licensed CC BY-SA 4.0 with the exclusion of the course image.

Launch your career in the high-demand field of SAP consulting. Build the consulting skills successful companies are looking for through tailored training and hands-on projects designed by SAP. No experience or degree required to enroll. What does an SAP consultant do? SAP consultants are problem solvers who relish getting the details right. They are experts in process management and have a deep understanding of SAP solutions. They are also outstanding communicators and excel at collaborating with all contributors and stakeholders in a project. This program has been designed specifically for learners seeking to get their first job in the SAP domain. You’ll get the inside track on how to build a consulting career beyond just having product knowledge. You’ll learn about project management methodologies and agile processes. You’ll gain core consulting skills such as requirements gathering, stakeholder interviewing, client communication, client analysis, and solution design. Plus, you’ll go through several implementation project lifecycles to build your practical experience and complete a comprehensive hands-on project using a case study to apply the skills you have learned. With SAP customers generating 87% of total global commerce, SAP consulting skills are in high demand. Through this program, you’ll build the critical skills that the largest and highly successful companies such as Accenture, Capgemini, Deloitte and KPMG, are looking for. Applied Learning Project Each course contains a client-related project that enables you to develop your skills in context. As the courses progress, the projects give you the opportunity to deepen your consulting skills as you learn. In addition to each end-of-course project, however, you’ll conduct a comprehensive hands-on project that takes you through the full SAP implementation lifecycle from start to finish. This will include carrying out the appropriate customer analysis and gap analysis, identifying business requirements, designing a solution, implementing your proposed solution, and completing QA and testing activities. Plus, you’ll build your own SAP career development plan in readiness for when you’ve successfully earned your professional certificate. Once you’ve completed the program, you will have a variety of simulated project implementations that you can refer to in interviews to evidence your hands-on experience.

This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises. After completing this course you will be able to explain and describe each of the steps required to ensure success when you build and deploy AI solutions in your business enterprise.

In this course, you will learn about the technical foundations and key terminology related to generative artificial intelligence (AI). You will also learn how to evaluate the risks and benefits of using generative AI, and explore the steps to planning a generative AI project.

Human Resource professionals have a significant impact on an organization’s success. They play a vital role in hiring the right people, developing employee policies, and creating a positive work culture. By pursuing a career in Human Resources, you can contribute to the overall achievement of an organization. This program is uniquely designed to prepare aspiring Human Resource professionals. Through engaging videos, interactive activities, assessments, and peer-reviewed projects, you can enhance your professional expertise and gain a solid understanding of the fundamentals in this field. This program is mobile friendly so whether you prefer accessing the program from your mobile device or computer, you have the flexibility to shape your learning journey. By the end of this program, you will understand how to: - Effectively recruit, select, and onboard new employees - Develop and implement employee policies and procedures that align with organizational goals - Foster a positive work culture and employee engagement - Understand and navigate legal and ethical considerations in Human Resources - By completing this program, you will receive a certificate from Coursera and also gain the necessary knowledge and skills to excel in this field. You will also be prepared to undertake the HRCI Associate Professional in Human Resources (aPHR) certification exam, setting you apart as a qualified HR professional. Applied Learning Project This program has a variety of engaging and interactive self-guided activities that allow you to apply what you have learned to real-world scenarios. In addition, there are four peer-reviewed projects. These projects serve as opportunities for you to demonstrate your proficiency in various critical areas, including the talent acquisition process, designing impactful training experiences, fostering an inclusive organizational culture, and conducting thorough organization audits. By successfully completing these projects, you will amass a diverse and impressive collection of tangible examples showcasing your expertise that can be readily shared with prospective employers.