Courses
PROFESSIONAL
CERTIFICATE COURSE IN DATA SCIENCE & AI
Accelerate your career with this Professional Certificate Course in Data Science program. This program features the perfect mix of theory, case studies, and extensive hands-on practice to master data science concepts and tools. It provides comprehensive training in data science, leveraging Analytic Assets for academic excellence, and an award-winning immersive learning model delivered via online/offline classes focused on applied learning to create an immediate career impact.
Designed to give learners an extensive Data Science education, this program is a blend of online/offline classes, hands-on projects, and labs, with mentorship sessions to provide a high-engagement learning experience and real-world applications to help you master essential Data Science skills. This program offers in-depth exposure to technologies including R, Python, Machine Learning, Tableau, and Natural Language Processing, and prepares you for an exciting career in Data Science.
PROFESSIONAL
CERTIFICATE COURSE IN CLOUD COMPUTING
Get started in Cloud Computing with this beginner-friendly, course! You will gain the foundational knowledge required for understanding cloud computing from a business perspective and also as a cloud practitioner.
In this course, you’ll be introduced to some of the prominent cloud service providers of our times (e.g. AWS, Google, IBM, Microsoft, etc.) and the services they offer, and look at some case studies of cloud computing across the industry verticals. You’ll also be introduced to Cloud Adoption and some related technologies such as Blockchain & Analytics and AI.
You will learn about the various cloud service models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid) and the key components of cloud infrastructure (VMs, Networking, Storage – File, Block, Object, CDN). We also cover emergent cloud trends and practices including – Hybrid Multicloud, Microservices, Serverless, DevOps, Cloud Native, and Application Modernization. You will also learn the basics of cloud security, and monitoring, as well as different job roles in the cloud industry.
By the end of the course, you will have created your own Cloud products and gained some hands-on experience by completing a final assignment that will be a great addition to your portfolio!
SQL
Real-world experts give you the SQL training you need to become a database professional. These courses are also great for advanced engineers who need to brush up on their skills. And SQL courses aren’t just for engineers; it’s also for business analysts who need to gain crucial insight into new trends and marketplaces.
Image Annotation
Annotating an image refers to the process of labeling or adding metadata to an image. This can be done manually by a person or with the help of computer software. Image annotation is an important step in developing computer vision models for tasks such as image classification, object detection, and image segmentation. The level of annotation needed can vary, from assigning a single label to an entire image to labeling individual groups of pixels within the image. High-quality annotation is crucial for the success of image annotation projects that use computer vision.
Video Annotation
Video annotation involves adding labels or tags to video clips for the purpose of training computer vision models to recognize objects within the video. This process is different from image annotation because it requires labeling objects on a frame-by-frame basis. High-quality video annotation is essential for creating accurate ground truth datasets that enable machine learning models to function optimally. There are many applications for video annotation in various industries, including self-driving cars, medical AI, and geospatial technology.
Text Annotation
Text annotation is a process that helps machine learning models understand text data. It involves parsing the data into relevant categories, such as phrases, sentences, and keywords, based on the specific guidelines of the project. Text annotation is used in various workflows, including sentiment and intent analysis, part-of-speech tagging, entity recognition, and classification. The annotated datasets created through this process allow machines to communicate more effectively using human language.
Sentiment Analysis
There is often much more to interpersonal communication than just the words that are spoken. As humans, we are naturally adept at recognizing and interpreting non-verbal cues such as tone of voice and body language to understand another person’s emotions, including happiness, sadness, anger, and apathy. In online communication, these non-verbal cues can take the form of emojis, punctuation, and images like GIFs.In contrast, computers must be specifically trained to understand the full range of human sentiment.
Web development
Web development is the process of building and maintaining websites, which involves designing the layout and user interface, programming interactive features using various development languages, connecting the website to a database, optimizing it for search engines and mobile devices, and testing and debugging to ensure it is functional. Web developers work with clients and stakeholders to determine the requirements and goals of a website and use their technical skills to build and maintain it.
Cloud Services
Cloud services are computing services that are provided over the Internet, allowing users to access and use resources such as storage, networking, software, analytics, and intelligence through a network of remote servers, rather than having to maintain their own physical infrastructure. These services are provided by cloud service providers, which offer a range of cloud computing models, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
Software development
Software development is the process of creating and maintaining software applications. It involves a range of activities, including planning, designing, coding, testing, and debugging software to meet specific user requirements and needs. Software developers use programming languages to build software solutions for a variety of purposes, such as improving business processes, automating tasks, and creating user interfaces.