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5 Generative AI Career Options
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Bio:
With over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He authorizes over 17 best-selling books, over 7,000 articles, and over 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on digital transformation, cloud architecture, AI, and cloud security topics.
He drives new market offerings, service innovation, and thought leadership outreach, leveraging his extensive knowledge and experience in generative AI and cloud computing for business agility and growth. David is passionate about educating and empowering the next generation of cloud professionals, as he is an adjunct instructor for Louisiana State University and a mentor.
Reference(s) for this video:
Where you can find me:
My Gen AI Architecture Course on GoCloudCareers:
Or, use a QR code in the video.
Talking points:
Generative AI is artificial intelligence that can generate new content, such as images, text, audio, and even videos, without direct human input. This AI system is designed to understand patterns and characteristics of existing data and then use this knowledge to create original and coherent new content. Generative AI can be utilized in various applications, including creating art, composing music, generating realistic human faces, and even writing natural language text. It's a powerful tool for creativity and innovation in many fields.
Generative AI Architecture Course.
The top-paying generative AI career options are in reverse order from the lowest paid to the highest paid:
1. AI & Machine Learning Engineer: Experts in developing AI models and machine learning algorithms to implement AI technologies. Timestamp: @3:40
2. Robotics Engineer: These engineers integrate AI into robotic systems, creating machines that perform tasks autonomously. Timestamp: @6:24
3. Data Scientist: Professionals who analyze and interpret complex data to assist in decision-making, essential in the AI field. Timestamp: @8:38.
4. AI Ethics Specialist: Assess the impact of AI on people and culture, including checking for bias and legal and policy issues. Timestamp: @10:17
5. Generative AI/AI Architect: Responsible for designing and overseeing the development of generative AI systems. Timestamp @13:08
Bio:
With over 30 years of experience in enterprise technology, David Linthicum is a globally recognized thought leader, innovator, and influencer in cloud computing, AI, and cybersecurity. He authorizes over 17 best-selling books, over 7,000 articles, and over 50 courses on LinkedIn Learning. He is also a frequent keynote speaker, podcast host, and media contributor on digital transformation, cloud architecture, AI, and cloud security topics.
He drives new market offerings, service innovation, and thought leadership outreach, leveraging his extensive knowledge and experience in generative AI and cloud computing for business agility and growth. David is passionate about educating and empowering the next generation of cloud professionals, as he is an adjunct instructor for Louisiana State University and a mentor.
Reference(s) for this video:
Where you can find me:
My Gen AI Architecture Course on GoCloudCareers:
Or, use a QR code in the video.
Talking points:
Generative AI is artificial intelligence that can generate new content, such as images, text, audio, and even videos, without direct human input. This AI system is designed to understand patterns and characteristics of existing data and then use this knowledge to create original and coherent new content. Generative AI can be utilized in various applications, including creating art, composing music, generating realistic human faces, and even writing natural language text. It's a powerful tool for creativity and innovation in many fields.
Generative AI Architecture Course.
The top-paying generative AI career options are in reverse order from the lowest paid to the highest paid:
1. AI & Machine Learning Engineer: Experts in developing AI models and machine learning algorithms to implement AI technologies. Timestamp: @3:40
2. Robotics Engineer: These engineers integrate AI into robotic systems, creating machines that perform tasks autonomously. Timestamp: @6:24
3. Data Scientist: Professionals who analyze and interpret complex data to assist in decision-making, essential in the AI field. Timestamp: @8:38.
4. AI Ethics Specialist: Assess the impact of AI on people and culture, including checking for bias and legal and policy issues. Timestamp: @10:17
5. Generative AI/AI Architect: Responsible for designing and overseeing the development of generative AI systems. Timestamp @13:08
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