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Prepare for a career in the rapidly growing field of software development. In just 6 months, this program will give you the skills, tools, and portfolio to give you a competitive edge in the job market as an entry-level back-end developer. Back-end developers are the professionals who create and maintain the engines that process data and perform actions on websites, and the demand for these professionals has never been higher. You'll learn the latest tools and technologies used by professional back-end developers, including Linux scripting, Git and GitHub, Python, SQL, databases, Django, containers with Docker, Kubernetes and OpenShift, microservices, serverless, and application security and monitoring. You'll practice working with these technologies to build the server-side systems and services that power modern web and mobile applications. Upon completion of the full program, you will build a portfolio of projects that will give you confidence and help you successfully pass interviews, and you will also receive a Professional Certificate from IBM to demonstrate your skills to potential employers. You'll also get access to the IBM Talent Network, where you'll receive job openings as soon as they become available, recommendations that match your skills and interests, and tips and advice to help you stand out from the crowd. Applied learning project - Throughout the life of your professional certificate, you will have many opportunities to apply your acquired skills in labs and projects. Projects include: - Develop shell scripts for repetitive tasks such as backing up files - Create and distribute open source projects on GitHub - Developing a Python Application with Endpoints for English to French Translation - Refactoring the code and hosting the application using IBM Cloud and Cloud Foundry, using CI/CD to ensure automatic deployment of changes - Adding a Feature to an Online Course Using Django Full-stack Skills - Create and deploy a guestbook that deploys updates using Openshift image streams and multi-tier guestbook versioning - Develop an internal application that displays song lyrics, band photos, and sells concert tickets by creating and integrating a Mongo database, Flask service, and Django application - Definition and Analysis of a Software Engineer Job Posting

Want to learn more about data science but don’t know where to start? This 4-course specialization from IBM will provide you with the core foundational skills any data science professional needs to prepare you for a career in data science or to further explore the field in depth. This specialization will introduce you to what data science is and what data scientists do. You will discover the applicability of data science to a variety of fields and learn how data analysis can help you make data-driven decisions. You will find that you can begin your career in this field without prior knowledge of computer science or programming languages: this specialization will give you the foundation you need to explore more deeply to support your career goals. You will understand concepts such as big data, statistical analysis, and relational databases, and become familiar with various open-source tools and data programs used by data scientists, such as Jupyter Notebooks, RStudio, GitHub, and SQL. You will complete hands-on labs and projects to learn the methodology of solving data science problems and apply the skills and knowledge you gain to real-world data sets. In addition to a certificate of completion from Coursera, you'll also receive a digital badge from IBM that proves you're an expert in Fundamentals of Data Science. This Specialization can also be used to obtain IBM Data Science Professional certificate. Applied learning project All courses in the specialization contain a variety of hands-on labs and assignments that will help you gain hands-on experience and skills with a variety of datasets and tools like Jupyter, GitHub, and R Studio. Build your data science portfolio with the artifacts you create throughout the program. Course capstone projects include: - Create and share a Jupyter notebook containing code blocks and markup - Think of a problem that can be solved using a data science methodology and explain how to apply each step of the methodology to solve it - Using SQL to query census, crime, and demographic data sets to identify factors that influence school enrollment, safety, health, and environmental performance

Data Science is one of the hottest jobs of the decade, and the demand for professionals who can analyze data and communicate results to make data-driven decisions has never been higher. This specialization from IBM will help anyone interested in a career in data science by teaching them the fundamental skills needed to get started in this in-demand field. The specialization consists of 5 self-paced online courses that will give you the foundational skills needed to work in the field of Data Science, including open source tools and libraries, Python, statistical analysis, SQL, and relational databases. You will learn these essential data science skills through hands-on work with real data science tools and real data sets. Upon successful completion of these courses, you will gain the practical knowledge and experience needed to dive deeper into Data Science and work on more advanced Data Science projects. No prior knowledge of computer science or programming languages ​​is required. This program is ACE® recommended and will earn you up to 8 college credits upon completion. Applied learning project All courses in the specialization contain a variety of hands-on labs and assignments that will help you gain hands-on experience and skills working with a variety of data sets. Build your data science portfolio based on the artifacts you create throughout the program. Course capstone projects include: - Extracting and Plotting Financial Data Using Python's Pandas Data Analysis Library - Create visualizations and conduct statistical tests to obtain information about housing trends based on census data - Using SQL to query census, crime, and demographic data sets to identify factors that influence school enrollment, safety, health, and environmental performance

Students who complete this program will receive a voucher to take the PL-300 certification exam at a 50% discount. Business intelligence analysts are in high demand as more organizations rely on data-driven decision making. Microsoft Power BI is a leading data analytics, business intelligence, and reporting tool used by 97% of Fortune 500 companies to make data-driven decisions and insights.1 Prepare for a new career in this fast-growing field with professional training from Microsoft, a recognized leader in data analytics and business intelligence. You’ll also have the opportunity to learn how generative AI tools and techniques are used in business intelligence. Through videos, assessments, and hands-on labs, you'll learn key Power BI concepts as you transform data into meaningful insights and create compelling reports and dashboards. You'll learn how to prepare data in Excel for analysis in Power BI, build data models with Star Schema, perform calculations in DAX, and more. Once you earn this professional certification, you'll have actionable examples to share in interviews and be prepared to take the industry-recognized PL-300: Microsoft Power BI Data Analyst certification exam. 1Microsoft Named a Leader in Gartner® 2023 Magic Quadrant for Analytics and BI Platforms (April 2023) Applied learning project This program has been uniquely aligned with the key job skills required to be a Power BI data analyst. During each course, you will be able to consolidate your learnings by completing a project that simulates a real-world data analysis scenario using Power BI. You will also complete a final project that showcases all of your new data analysis skills in Power BI. Projects will include: ● A real-world scenario where you connect to data sources and transform the data into an optimized data model for data analysis. ● A real-world scenario where you demonstrate your ability to communicate data using dashboards, reports, and charts to solve business problems and identify new opportunities. ● A real-world project in which you will analyze the performance of a multinational enterprise and prepare dashboards and reports for management. At the end of your training, you will take a practice exam that is designed in a style similar to the industry-recognized PL-300: Microsoft Power BI Data Analyst exam.

Open up your prompt engineering to the Llama 2 & 3 collection of models! Learn best practices for prompting and building applications with these powerful open commercial license models. Interact with the Llama 2 and Llama 3 models with a simple API call, and explore the differences in output between models for a variety of tasks. What you'll do: 1. Learn best practices for prompting and selecting among the Llama 2 & 3 models by using them as a personal assistant to help you complete day-to-day tasks. 2. Experiment with advanced prompt engineering techniques, like few-shot prompting to get Llama 2 to classify the sentiment of text messages, and chain-of-thought prompting to solve logic problems. 3. Treat Code Llama as a pair programming partner to both learn to write and improve code. 4. Promote safe and responsible use of LLMs by having Llama Guard check user prompts and model responses for harmful content. Llama 2 and Llama 3 models and model weights are free to download, including quantized model versions that can run on your local machine. Join a thriving community of open source developers that is building applications powered by Llama 2 and Llama 3.

Vector databases provide the solid foundation required by large language models to deliver AI-powered similarity searches and recommendation systems for e-commerce recommendations, cybersecurity fraud detection, medical diagnostics, bioinformatics research, and other complex analysis tasks. Begin learning how to take advantage of the efficiencies vector databases offer in this introductory course by IBM. In this introductory microcourse, you'll build your knowledge of vector database fundamentals and explore the importance of vector databases in today’s data management landscape. Then, dive into how vector databases differ from traditional databases and learn about vector database types and their uses. You’ll also gain hands-on experience setting up environments for vector database operations and performing day-to-day database tasks using Chroma DB. You will learn how to: • Set up environments for vector database operations. • Perform update, delete, and collection-related tasks. • Demonstrate vector database skills and implement similarity searches using real-world data sets. This microcourse is built to provide you with broad, foundational vector database knowledge. This course is for engineers, data scientists, machine learning engineers, DevOps engineers, AI Engineers, and others who work with or intend to build large language models (LLMS), generative AI applications, and related transformative technologies. Enroll today and learn how to take advantage of the efficiencies that vector databases offer!

Generative AI is transforming software development by enhancing and augmenting traditional coding practices. In this Skill Certificate from DeepLearning.AI, you’ll learn from Laurence Moroney, Chief AI Scientist at VisionWorks Studios and former AI lead at Google, as he guides you through a comprehensive pathway to understand and apply generative AI technologies in real-world software development. As AI-powered coding tools are set to transform the industry, with Gartner predicting 70% adoption by platform engineering teams by 2027, this program will support you in learning these technologies at all stages of your career. It will show you how to use LLMs to leverage your own experience and knowledge to become a faster, more productive worker. You will be introduced to a new paradigm for software development, where LLMs become invaluable members of your development team by acting as pair coding partners, software testers, security experts, and knowledgeable colleagues. Go beyond theory and apply your new skills to real-world projects. This hands-on approach ensures you graduate with the practical expertise to leverage generative AI and augment your development workflow. When you complete the program, you'll earn a Skill Certificate from DeepLearning.AI, demonstrating your aptitude with the latest GenAI skills and tools to help you advance in your career. Applied learning project - Pair-coding with an LLM to efficiently modify data structures for use in production and at big data scales - Work with an LLM as a skilled software tester to identify bugs, create edge case tests, and update code to correct errors - Implement a functioning local database from scratch, and partner with an LLM to think through software design issues and how to optimize for efficient, secure data access.

This course is part of the '' Professional Certification 'Generative AI for Software Development' ' specialization

This course is part of the '' Professional Certification 'Generative AI for Software Development' ' specialization

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

Welcome to the standalone course on "Machine Learning and Deep Learning," a unique offering that has been carefully crafted by referencing a key section of our comprehensive "Exciting AI: Autonomous Driving & RL with AWS DeepRacer" course. In this specialized course, we will dive deep into the foundations of machine learning and deep learning, both crucial components in the development of autonomous driving technologies. The course is structured as follows: - Machine Learning Overview - How Machines Learn - Hyperparameters - Deep Learning and DNN - CNN Model - Deep Learning Issues Whether you are a beginner or have some experience in the AI field, this course will provide you with valuable insights into the inner workings of machine learning and deep learning algorithms. Throughout this course, you'll gain a deeper understanding of how machines learn, the role of hyperparameters, and the differences between deep learning and traditional machine learning. You'll also explore Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), and how they are applied to the DeepRacer Model. Lastly, we will discuss common issues encountered in deep learning and potential solutions. For your information, this course is designed to provide you with a focused understanding of machine learning and deep learning concepts. However, if you're curious about not just the theoretical aspects of AI, but also eager to dive into hands-on practice and implementing autonomous driving solutions, we highly recommend enrolling in the full "Exciting AI: Autonomous Driving & RL with AWS DeepRacer" course. By taking the complete course, you'll have the opportunity to explore AI concepts more extensively, and experience the thrill of creating your own autonomous driving models. Don't hesitate to challenge yourself and join us in the exciting world of AI and autonomous driving!

Are you a Learning and Development (L&D) professional looking to revolutionize your training programs? Do you want to personalize learning experiences, automate content creation, and craft immersive simulations – all while ensuring ethical practices? Then Learning and Development with Generative AI is the course you've been waiting for. This comprehensive Udemy course dives deep into the world of generative AI, equipping you with the knowledge and skills to leverage this cutting-edge technology and transform the way you approach L&D. Here's what sets this course apart: - Focus on L&D applications: We go beyond a basic understanding of generative AI. We delve into specific applications and best practices for integrating this technology into your L&D strategies. - Actionable insights: Learn practical tips, explore real-world use cases, and discover proven techniques to effectively utilize generative AI tools in your training programs. - Ethical considerations: Responsible AI implementation is paramount. We address potential biases, transparency concerns, and ethical frameworks to ensure your L&D practices are fair and trustworthy. - Beyond ChatGPT: While ChatGPT is a powerful tool, we explore a wider range of generative AI options, giving you a comprehensive understanding of the L&D landscape in this emerging field. - Future-proof your skills: Gain insights into the latest trends and innovations in generative AI for L&D, ensuring you stay ahead of the curve. This course is designed for: - L&D professionals seeking to leverage cutting-edge technologies. - Training managers and instructional designers looking to personalize learner experiences. - HR professionals interested in enhancing their organization's learning and development strategies. - Anyone curious about the potential of generative AI and its impact on the future of learning. By the end of this course, you will be able to: - Define generative AI and its core concepts. - Explain the various applications of generative AI across different industries. - Explore the transformative potential of generative AI in the L&D domain. - Implement effective strategies for using generative AI tools in learning and development programs. - Utilize ChatGPT for personalized learning experiences, automated content creation, and interactive training simulations. - Integrate ChatGPT into educational platforms while adhering to responsible AI practices. - Identify additional generative AI tools suitable for L&D purposes. - Evaluate and apply these tools based on specific use cases and learning objectives. - Anticipate future trends in generative AI and explore opportunities for further development in the L&D field. This course is your roadmap to unlocking the immense potential of generative AI in your L&D strategies. Enroll today and start building more engaging, effective, and future-proof learning experiences!