Online Courses

This course teaches you to harness AI-powered tools for code generation, focusing on SQL, Python, and R for data analysis tasks. The target learner for this course is a seasoned data professional or an aspiring analyst. This comprehensive program empowers. The course covers the design and implementation of automated data processing pipelines, enabling you to streamline your entire data analysis workflow.

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Upon completion of this course, you'll be able to:

• Generate code snippets for data analysis tasks using AI

• Create and optimize formulas for data manipulation and analysis

• Design automated data processing pipelines with generative AI

• Integrate AI capabilities into existing coding environments and workflows

Unlock the power of AI and Excel in this Specialization, where you'll learn to create compelling data narratives, advanced formulas, and design compelling data visualizations using ChatGPT.

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Exciting Practical Skills You’ll Learn:

• Turn Text into Data: Extract structured datasets from unformatted text or images with ChatGPT. Example: Convert a messy list of LinkedIn posts into a clean table with post titles, dates, and engagement stats.

• Create Formulas: Generate complex formulas tailored to solve specific challenges, even if you don’t know how to write them from scratch.

• Design Stunning Visualizations: Build engaging charts and graphs directly from your prompts or replicate a chart from a photo. Example: Transform a hand-drawn sales graph into a professional Excel chart in seconds.

• Merge and Unify Datasets: Seamlessly combine data from multiple Excel sheets or CSV files into one cohesive table. Example: Integrate customer data with sales records to track performance by demographic or region.

• Automate with VBA Scripts: Create powerful macros with ChatGPT to eliminate repetitive tasks and enhance productivity.

• Turn Images Into Excel Solutions: Use ChatGPT to turn a photo of a whiteboard into an Excel-based project plan or inventory tracker. Example: Snap a photo of a brainstorming session and convert it into a structured Excel sheet.

• Craft Data-Driven Stories: Build narratives that make your data compelling and actionable for presentations.

In this course, you will learn how to implement the essentials of modern web development, beginning with Frontend Development. You'll learn to craft interactive web pages using HTML, CSS, and JavaScript. Moving forward, you'll explore Java Server Technologies, focusing on Spring Boot and MVC architecture to develop robust backend systems. Your expertise will grow as you tackle Web APIs, learning to implement and integrate RESTful services for dynamic content management. Additionally, you'll get hands-on experience with the Amazon cloud services ecosystem, crucial for contemporary software development.

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By the end of this course, you will be well-equipped to create full-stack web applications and confidently handle real-world projects. This program is tailored for those eager to excel in both frontend and backend web development.

After completing this course, you’ll be able to:

• Construct dynamic web applications using Java technologies like Spring, Spring Boot.

• Implement server-side logic and handle HTTP requests and responses.

• Integrate front-end technologies including HTML, CSS, and JavaScript.

AI is expected to grow 36.6% by 2030 (Forbes). This IBM AI Engineering Professional Certificate is ideal for data scientists, machine learning engineers, software engineers, and other technical specialists looking to get job-ready as an AI engineer.

During this program, you’ll learn to build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, autoencoders,and generative AI models including large language models (LLMs).

You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using Python.

You’ll apply popular libraries such as SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow to industry problems using object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), and recommender systems. Build Generative AI applications using LLMs and RAG with frameworks like Hugging Face and LangChain.

You’ll work on labs and projects that will give you practical working knowledge of deep learning frameworks.

If you’re looking to build job-ready skills and practical experience employers are looking for, ENROLL TODAY and build a resume and portfolio that stand out!

Dive into the innovative world of generative AI and discover how to harness its power using Adobe Firefly to elevate your creative projects.

By the end of this course, you’ll be equipped with the knowledge and skills to revolutionize your design process, making you a pioneer in the digital landscape. Join us and take the first step toward mastering generative AI in your creative endeavors.

Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.

This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python.

Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development.

Topics include basic data structures like Arrays and ArrayLists and overloading methods.

This specialization will prepare learners to enter the exciting fields of artificial intelligence (AI) and machine learning. Across four courses, learners will familiarize themselves with AI, machine learning and deep learning essentials, while also gaining experience with statistics–the backbone of any machine learning problem. Learners will use Python to write programs that accomplish basic AI and machine learning tasks.

By the end of this specialization, learners will be able to confidently use and discuss AI and machine learning tools and concepts, improve their Python skills, and be primed for more advanced study in these fields.