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IBM Training
This introductory course on watsonx Assistant is designed for anyone interested in exploring the latest advancements in Generative AI and how they can enhance customer and employee experiences through the creation of AI assistants.

YouTube
Explore how to build a truly personal AI assistant that knows you as an individual in this 19-minute conference talk from the AI Engineer World's Fair. Discover why current large language models like GPT-4, despite their massive training datasets, cannot provide personalized assistance without significant user input. Learn about an innovative approach that creates a personal, private, and proactive AI assistant by downloading your transaction logs from major consumer platforms like Google, Facebook, Amazon, DoorDash, Strava, and Uber directly to your local device. Understand how implementing a RAG (Retrieval-Augmented Generation) system using this personal data enables immediate utility without requiring extensive user configuration. Gain insights into how a modest amount of powerful personal data can unlock the true potential of personalized AI assistance, moving beyond generic responses to truly individualized support.

Coursera
Nursing Assistant Essentials is a beginner-level course designed to build the fundamental knowledge and skills to provide compassionate and effective patient care. Through these three lessons, students will learn how to support patients across various healthcare settings. In Lesson 1: The Workplace: Health Care Settings, students explore the diverse environments where nursing assistants work, including hospitals, nursing homes, and home care settings. Lesson 2: The Nursing Assistant Role delves into the specific duties of a nursing assistant, including patient interaction, assisting with daily activities and providing essential support to nursing teams. Students learn to communicate effectively with patients and other healthcare professionals, fostering a positive and supportive care environment. In Lesson 3: Daily Hygiene: Grooming, Bathing, Toileting, Oral Care, and Dressing, students gain hands-on knowledge of assisting patients with personal hygiene tasks. They learn the proper techniques for ensuring patient comfort, dignity, and safety while performing essential daily care routines. This course is unique in its practical, patient-centered approach, blending theoretical understanding with essential hands-on skills to prepare students for real-world healthcare roles.

Swayam
यहकोर्सछात्रकोकौशल औरशिक्षाप्रधान करेगाताकि छात्र स्वयं नियोक्ता प्राप्तकर सकें।पाठ्यक्रम को पूरा करने के पश्चात,बिस्तरपर पड़ें रोगियों को घर पर ही उपचार उपलब्ध कराकर स्व: रोजगार प्राप्त कर पाएगा।•पंचकर्मा चिकित्‍सालय•आयुर्वेदिक हस्‍पताल•आयुर्वेदिक आहार केन्‍द्र•आयुर्वेदिक हर्बल नर्सरी•आयुर्वेदिक हर्बल नर्सरी•जीवन शैली केन्‍द्र स्‍वास्‍थ्‍य केन्‍द्र•स्‍वास्‍थ्‍य स्‍पा तथा रिसोर्ट•आयुर्वेदिक कॉस्‍मेंटिक क्‍लीनिक•आदि में सहायक के रूप में कार्य कर सकते है।

Pluralsight
AI assistants and chatbots have been a topic of great interest for many years. However, good AI assistants have also been really hard to implement and deploy… until now. The AI Assistants API from OpenAI allows creating powerful AI assistants that are capable of performing a variety of tasks that are really hard to code using traditional coding mechanisms. In this course, OpenAI Assistants API, you’ll learn how to develop powerful assistants that can be deployed in your applications that can interact using natural language. First, you’ll learn how to create and retrieve assistants. Next, you’ll learn how to create threads, run, and retrieve responses. Next, you’ll learn how to call functions that can be used by your assistant. Finally, you will learn how to upload content that your assistant can use for its responses. When you’re finished with this course, you’ll have the skills and knowledge of the OpenAI Assistants API needed to create a powerful AI assistant that receives prompts in natural languages and provides excellent responses using natural language.

Coursera
The Nursing Assistant Fundamentals specialization prepares students for a successful Nursing Assistant career in diverse healthcare settings, emphasizing patient care assistance, health care setting navigation, effective communication in healthcare, hygiene and safety protocols, and patient mobility and comfort. IMPORTANT: This specialization is not designed to prepare students for national certification. Enrollees will gain the foundational/fundamental knowledge on subject matter relevant to the profession. However, to gain industry certification, a more comprehensive program must be completed through enrollment via approved/eligible schools such as MedCerts.

YouTube
Learn to build a Python-based voice assistant that integrates with Google Calendar API, enabling features like schedule retrieval, note-taking, and more. Explore topics such as sound playback using gTTS, microphone input processing, Google Calendar API setup, speech-to-date conversion, event retrieval and vocalization, program launching, and assistant activation in this comprehensive tutorial series spanning 1 hour and 30 minutes.

YouTube
Learn how to install and configure the Zigbee2MQTT add-on in Home Assistant in this comprehensive 21-minute tutorial video. Discover the prerequisites, including the need for a pre-installed MQTT broker and a supported Zigbee adapter. Follow step-by-step instructions for setting up the commonly used Conbee II adapter, which requires additional configuration to work with Zigbee2MQTT. Explore the process of adding and removing Zigbee devices, and gain insights into resolving potential issues. Master the integration of Zigbee devices with Home Assistant using Zigbee2MQTT for enhanced smart home automation capabilities.

Coursera
The Medical Assistant Fundamentals for Patient-Centered Care specialization provides a comprehensive foundation for a medical assisting career, emphasizing essential skills in communication, patient-centered care, and techniques for diverse populations and clinical specialties. Through this specialization, students are prepared to deliver compassionate, high-quality care in a variety of healthcare settings.

Udemy
Live Free. Work Virtually. Virtual Assistant Training. What you'll learn: Learn the digital skills both large corporations and small business entrepreneurs are looking for in a virtual assistant.Make your resume stand out with technical skills that make you eligible for the high-paying positions.Discover where to find and apply for virtual assistance positions.Learn how to start a Virtual Assistance business such as what prices to charge. Have you ever dreamed of being your own boss or being able to work from anywhere in the world? I did it by becoming a virtual assistant. I traveled to over 30 countries and all I needed was an internet connection. Both large corporations and small businesses have made the switch to seeking out virtual employees, but finding candidates that know how to do the digital tasks they need is hard.Our "BecomeA VirtualAssistantOnlineCourse"is a5 tutorial virtual assistant training that teaches the technical skills both large corporations and small business entrepreneurs are looking for in a virtual assistant. In addition to learning the technical skills that high paying jobs are seeking, you’ll also learn how to start a Virtual Assistance business, including how to get clients and what to charge.

Coursera
Upon completion this course, learners will obtain the fundamental concepts and practical workings of OpenAI's Assistant APIs, enabling them to build intelligent, conversational agents faster than ever previously possible. Learners will begin by understanding how the API works by getting hands-on experience in creating an Assistant, initiating Threads, crafting Messages, and Running the assistant in a live environment. The final lessons encourage learners to bring together all the learned components in a capstone project, reinforcing their understanding and showcasing their new-found capabilities. This course is perfect for developers, tech enthusiasts, and AI practitioners aspiring to master the intricacies of OpenAI's cutting-edge technologies.

Udemy
Learn the winning conversation design workflow that creates engaging, human-centric conversations between AI and people What you'll learn: Combine elements of technology, psychology, and language to create human-centric conversations between people and AIArticulate the importance of conversation design to a development teamImplement the design workflow that has become the industry standard for best conversation designCraft a detailed persona for your AI Assistant that shines through all your conversationsMentalize the conversational context before writing a single piece of dialogue to ensure empathy throughout the experienceRun sample dialogues to create a solid first draft of a conversational flowValidate a conversational flow and make it inclusive through Wizard of Oz testingFine tune dialogue using expert copywriting techniques Conversation designers are in high demand at enterprises and tech companies. By taking this course, you’ll discover if this is the career for you. You’ll also learn the fundamental principles that will guide you throughout your career in conversation design. This course presents a comprehensive introduction to the field of conversation design. It shares best practices for designing human-centric conversations for AI assistants, whether they be chatbots or voice assistants. You will also learn the fundamentals of Conversation Design Institute’s workflow, which is used by thousands of conversation designers around the world. Together, these designers create assistants that are interacting with millions of people every day. The CDI workflow is voice first and technology agnostic. But what do we mean by that? It means that the principles in this course can be used to create both chatbots and voice assistants. That you can apply these techniques to every type of conversational technology. You can use these principles to create a fun voice experience for a smart speaker, as well as creating a complex customer service case for an enterprise. Some of the things you’ll learn in this course: The historical context which is key to understanding conversation design’s place in the world of technologyWhat conversation design really is, and how businesses are already harnessing its powerWhy the demand for conversation designers will only continue to grow in the coming years as more companies automate more conversationsThe psychology of conversations, and why conversation design is so vital to creating meaningful interactions between humans and AICDI’s industry-recognized workflow that will guide you through every conversation you design going forwardHow to consistently design inclusive, human-centric conversationsCopywriting techniques that take conversations from good to superbHow to design conversations with a well crafted and consistent personaHow to design for desired behavior

Coursera
Step into the frontier of digital assistance with the "Generative AI Assistants" specialization, your guide to crafting bespoke AI partners for any sector or specialized need. This course unveils the complexities of tailoring GPT-style language models that intuitively align with your world—be it legal, logistical, or scientific. You'll learn how to train your custom AI to parse through documents, engage in natural dialogue, and even mimic designated communicative tones—all while rigorously testing to assure precision and reliability.

YouTube
Learn about Home Assistant through a fast-paced conference talk that introduces beginners to this home automation platform and demonstrates advanced automation capabilities. Discover what Home Assistant is from the ground up, then dive into practical demonstrations of automations involving AI and other cutting-edge features using a live implementation. Experience a speed session format that covers essential concepts quickly while showcasing the powerful automation possibilities available in modern smart home setups. Gain insights into how Home Assistant can transform your living space through intelligent automation workflows and integrations.

YouTube
Dive into a hands-on coding session focused on building streaming inference into the Hugging Face text generation server. Explore various technologies including CUDA, Python, Rust, gRPC, WebSockets, and server-sent events. Follow along as the development process unfolds, covering the integration of Open Assistant with the Hugging Face infrastructure. Gain insights into MLOps practices and learn how to implement advanced features in AI-powered text generation systems. Access the original Hugging Face text generation inference repository and the Open Assistant repository for reference during the coding session. Discover free MLOps courses to further enhance your skills in machine learning operations.

YouTube
Explore a 12-minute conference talk from the Association for Computing Machinery (ACM) that delves into the innovative LLaRA: Large Language-Recommendation Assistant. Learn about the integration of prompts, instructions, and Large Language Models (LLMs) in recommender systems as presented by authors Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, and Xiangnan He. Gain insights into cutting-edge approaches for enhancing recommendation algorithms using advanced language processing techniques.
IBM Training
This course is divided into two sections:Modernizing WebSphere to LibertyStudents should start with the 1. Objectives and Requirements module, and work their way sequentially through the material from there.IBM Cloud (SaaS) ConfigurationAn optional chapter prepared for those who would like to replicate the configuration of a WCA environment on their local machines. These configuration steps enable participants to authorize VS Code or Eclipse IDEs for use with IBM watsonx Code Assistant via extensions (or plug-ins), bypassing the need of working through a virtual machine. Instructions are available for both macOS and Windows operating systems.After the hands-on modules, participants must pass a final quiz to receive credit via IBM Training.

Udemy
Learn how to be an effective personal assistant, and find out how to develop the skills for the role. What you'll learn: Understand how to apply tools of the tradeLearn Effective Time ManagementUnderstand How to Become an Effective Gate KeeperHow to Work with Your Manager Executive personal assistants perform routine clerical and administrative duties. They organize files, prepare documents, schedule appointments, and support other staff. The key difference between an Executive PA and a regular PA is that Executive Personal Assistants work with higher level managers. Generally, this will mean working with CEOs, as well as various other company directors and high-level staff. As most administrative tasks are taken for granted at this level, the main focus of their job involves taking initiative and complete control over their workload. Executive PAs usually work:in a corporate settingspend much of their time on a computera college education isn’t required for this position, but …employers increasingly prefer to hire those who have completed some training. Certain skills, such as time management and attention to detail, will be a given for almost all Executive PAs.There are many advantages of the career path, including increased exposure to senior management, as well as more varied work experience.For example, you may get the chance to organize events or manage larger projects, and work with other areas of the business, such as the product or digital marketing teams. Many Executive Personal Assistants are even finding that this exposure is opening more doors to move into other high-earning careers, and go on to become Product Assistants and Project Managers as a result of their Executive PA experience. So, do you think this is a career for you? If yes, let’s get started.Just click on “Enroll Now” button and I’ll see you inside!

Pluralsight
It is projected that by 2021 there will be 1.8 billion people using digital assistants. In this course, How to Build New Skills in Oracle Digital Assistant - Leveraging Bots, you will learn foundational knowledge of building a digital assistant skill bot. First, you will learn how to work in Oracle digital assistant console. Next, you will discover the basic building blocks to create a skill bot. Finally, you will explore how to add the skill bot to an Oracle Digital Assistant. When you are finished with this course, you will have the skills and knowledge of building skill bots needed to enhance the abilities of digital assistants.

Scrimba
Join renowned Scrimba instructor Guil Hernandez in this fast-paced course on OpenAI's Assistants API, tailored to empower you with the skills to build advanced, interactive AI apps. In it, you will build a movie chatbot that can access specific knowledge from an underlying dataset thanks to the Assistant API’s built-in retrieval technique. You'll also get up-to-speed with the API’s four primitives: Assistants, Threads, Messages, and Runs. The Assistants API is still in beta, but it has already proven to be a powerful tool that simplifies the process of building advanced AI apps. By learning this API now, you’ll position yourself at the cutting edge of AI engineering, being capable of building AI apps much faster than the majority of web developers. In today's world, where businesses of every scale are embracing AI, investing just 30 minutes in this course is guaranteed to pay off in your career, whether you're job hunting or simply looking to shine in your current role. Learning objectives: By the end of this course, you will be able to: Understand the purpose and functionality of the Assistants API. Explain how OpenAI Assistants process and respond to user queries. Demonstrate the steps to create an Assistant using the API. Set up a thread and add messages to simulate a conversation flow with an Assistant. Run and test an Assistant to ensure it performs as expected. Identify the components that make up an OpenAI Assistant’s workflow. Write code to initialize and customize an Assistant for a specific use case. Combine all learned components into a fully functional Assistant application. Analyze how threads and messages affect the Assistant's contextual understanding. Evaluate the performance of an Assistant based on user interaction scenarios.