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Introduction to AI, ML, and Neural Networks

Self-Paced Learning
30 Min
Beginner

Master the fundamentals of AI and machine learning with this course, covering the evolution of Generative AI, key AI concepts, machine learning techniques, and deep learning through neural networks.
$ 9.99
Self-Paced

Career Trends

Demo

Avg. Wage Earned

$103,000

Education Needed

Certificate after high school

About this Course

Dive into the world of Generative AI and Foundation Models with this comprehensive course designed to provide a solid understanding of these cutting-edge technologies. This course offers a deep exploration of the fundamental concepts, practical applications, and key terminologies that are driving the next wave of innovation in AI. Perfect for professionals, students, and tech enthusiasts, this course equips you with the knowledge to leverage Generative AI in various domains.


What You'll Learn in this Course
  • Generative AI & Foundation Models Concepts Overview: Begin with a broad understanding of Generative AI and Foundation Models, setting the stage for more detailed explorations.
  • What is Generative AI and Use Cases: Learn the definition of Generative AI, its core principles, and explore real-world use cases across industries such as content creation, healthcare, and finance.
  • How Generative AI Works - Part 1: Prompt, Completion, and Inferences: Understand the mechanics of Generative AI, focusing on how models generate content through prompts, complete tasks, and make inferences.
  • How Generative AI Works - Basic Concepts and Terminology: Gain insight into the foundational concepts and terminology that underpin Generative AI, helping you grasp the technical aspects of this technology.
  • Service Offerings in Generative AI from AWS: Discover the range of Generative AI services available from AWS, including how to integrate these powerful tools into your own projects and workflows.

Who Should Take this Course
  • AI/ML Enthusiasts: Anyone with an interest in AI/ML will benefit from understanding the rapidly evolving field of Generative AI and its potential.
  • Tech Professionals: IT professionals, developers, and data scientists looking to expand their skill set and apply Generative AI to real-world challenges.
  • Business Leaders: Those in leadership positions who want to understand how Generative AI can be utilized to drive innovation and efficiency within their organizations.
  • Students & Educators: Ideal for students aspiring to specialize in AI or educators looking to update their curriculum with the latest AI advancements.


By the end of this course, you'll have a comprehensive understanding of Generative AI, including how it works, its applications, and the services offered by AWS to harness this technology. Whether you're looking to innovate in your field or build a career in AI, this course is your gateway to mastering Generative AI and Foundation Models.

Why Cloud Institute

Flexible Training

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Personalized Coaching

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Meet the Coaches

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Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

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Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

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Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

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John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

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Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

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Godfrey Chatira

Azure Solutions Architect

An experienced Azure Solutions Architect, with a proven track record of designing and implementing complex cloud solutions on the Microsoft Azure platform. With expertise in cloud architecture, infrastructure, security, and governance, I help organizations to maximize their investments in cloud by providing tailored solutions that align with business goals and technical requirements.

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Don Restarone

Software Engineer

End to end software architect with a proven track record for building high achieving MVP's, enterprise applications and unlocking millions of dollars in revenue for startups and founders.

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Fady Ibrahim

Google Cloud Champion Innovator

Google Cloud Champion Innovator specializing in Modern Architecture. Fady is also a Google Cloud Insider and Google Cloud Authorized Trainer.

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Gouthami Matavalam​

Senior Technical Architect

A dynamic and positive Software Engineering coach with a knack for strategic problem-solving and troubleshooting. With extensive experience in Java and Java Frameworks, Gouthami brings a structured and creative approach to coaching, helping clients achieve their personal and professional goals through tailored guidance and support. Her enthusiasm and expertise make learning engaging and effective.

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Rahees Khan

Cloud Engineer

With a Bachelor of Technology degree in Computer Science from Lovely Professional University, I have a strong foundation in modern application architectures and microservices-based deployments. I have demonstrated proficiency in Docker, Kubernetes, and OpenShift, as well as Infrastructure as Code tools such as Ansible and Terraform. I have leveraged my skills to optimize applications across Kubernetes environments, minimize vulnerabilities in microservices, and automate the provisioning of infrastructure on Google Cloud.

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Jeff Fudge

Director of Solutions Architecture & Engineering

Things I am passionate about: Technology, Community, Cyber Security, AWS and all things Cloud. I have strengths in cloud migration and strategy, PCI compliance, infrastructure consolidation and the design and implementation of high performance architectures. I enjoy working with business leadership and external partners on digital strategy and solution roadmaps. What I've been: Cloud Practice Director, CIO, CTO, VP of Technology, Director of Infrastructure. What I am now: Director of Solutions Architecture & Engineering at JetSweep and AWS User Group Leader. Who I am: A passionate, high energy, sarcastic, "glass is probably fuller than it looks" kind of guy.

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