Roles and responsibilities: An AI architect is expected to deliver tangible solutions for the clients they work with as well as being capable of creating and maintaining architecture using leading AI technology frameworks. They will need to understand client needs and be able to translate these into business solutions that they can implement. Therefore, the role of an AI architect is vital to any AI or machine-learning strand within a business. The AI architect is like the chief data scientist, planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the clients' needs change.
Average salary (per annum): US$160,000
Artificial Intelligence by Simplilearn in Partnership with IBM: As per the Forrester Wave report published in September 2018, IBM was the second largest organization to provide Predictive Analytics and Machine Learning solutions throughout the globe. In integration with IBM, the master's program provides you a proper blend of artificial intelligence along with data science. And thus, it is said as a certification that imparts integrated blended learning.
This Microsoft AI Fundamentals Certification BootCamp from Cloud: This has been designed to help candidates pass the Microsoft AI-900 exam. Along with Azure AI Fundamentals exam preparation, this training on Azure AI Fundamentals can be used to prepare for other Azure role-based certifications as well, like Azure Data Scientist Associate or Azure AI architect.
ITAC Artificial Intelligence Architecture Course: Join these three days program, designed to provide a solid, repeatable baseline for IT architects and technical leaders who are implementing AI programs for their enterprise. The course and workshops cover critical aspects around the implementation of AI, as well as describing key characteristics of an enterprise-wide enterprise-wide AI capability and the human challenges of achieving this.
Microsoft: Microsoft Corporation is an American multinational technology company that produces computer software, consumer electronics, personal computers, and related services. Its best-known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers.
IBM: The company is building a new consulting practice focused on AI and automation, according to a job description for an "Associate Partner – Applied AI Automation Strategy." IBM aims to help organizations improve their business models, job functions, and customer interactions using AI. The associate partner opening is based in Phoenix and requires at least 10 years of experience leading AI, analytics, technology, or digital strategy projects.
Accenture :Accenture: Accenture plc is an Irish-domiciled multinational company that provides consulting and professional services. A Fortune Global 500 company, it reported revenues of $44.33 billion in 2020 and had 569,000 employees. Accenture's current clients include 91 of the Fortune Global 100 and more than three-quarters of the Fortune Global 500. This company focuses on growing customer expectations, market-shaping AI, Self-Optimizing systems.
Facebook: Although Facebook started as a fairly simple social media application many years ago, it has grown to become one of the top tech companies in Silicon Valley.
Not only does Facebook use machine learning in their product to translate languages, fight misinformation, and personalize their user's timelines, they also are the parent company for many other products that leverage machine learning, including Oculus VR.
Intel: Intel Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, in Silicon Valley. It is the world's largest semiconductor chip manufacturer by revenue and is the developer of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies microprocessors for computer system manufacturers such as Lenovo, HP, and Dell. Intel also manufactures motherboard chipsets, network interface controllers and integrated circuits, flash memory, graphics chips, embedded processors, and other devices related to communications and computing.
