Artificial Intelligence

Description

The artificial intelligence (AI) industry involves the development and implementation of algorithms and software that enable machines to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, robotics, and computer vision. AI is used across various sectors, including healthcare, finance, automotive, and retail, to improve efficiency, accuracy, and decision-making.

Something Cool

Query your favorite AI tool about anything and you will likely learn what you need.  Amazing!

Types of Companies

• Large Tech: Develop and integrate AI technologies into various products and services.  Examples: Google, Microsoft.

• AI Startups: Focus on innovative AI solutions and applications. Examples: OpenAI, Anthropic.

• Healthcare AI Companies: Use AI for diagnostics, treatment planning, and patient care. Examples: IBM Watson Health, Tempus.

• Automotive AI Companies: Develop AI for autonomous driving and vehicle safety. Examples: Tesla, Waymo.

• Retail AI Companies: Implement AI for personalized shopping experiences and inventory management. Examples: Amazon, Alibaba.

Further Education & Credentials Required

• Bachelor’s Degree: In computer science, data science, or a related field.

• Master’s Degree or PhD: Often required for advanced research roles.

• Certifications:

  • Certified Artificial Intelligence Practitioner (CAIP).

  • Machine Learning Certification by Stanford University.

  • Deep Learning Specialization by Coursera.

Entry Level Roles

• Junior Data Analyst

  • Description: Analyzes data to help organizations make informed decisions.

  • Skills Required: Data analysis, statistical knowledge, proficiency in tools like Excel and SQL.

• Machine Learning Engineer

  • Description: Develops algorithms that enable machines to learn from data.

  • Skills Required: Programming (Python, R), understanding of machine learning frameworks (TensorFlow, PyTorch).

• AI Research Assistant

  • Description: Supports research projects in AI and machine learning.

  • Skills Required: Research skills, programming, knowledge of AI concepts.

• Junior Software Developer

  • Description: Assists in developing AI software applications.

  • Skills Required: Programming (Java, C++), software development lifecycle knowledge.

• Data Engineer

  • Description: Builds and maintains data pipelines for AI applications.

  • Skills Required: Data management, ETL processes, database systems. 

How To Learn More

• Talk to someone doing the role you want.  Check out my writings on The Gift of Asking for Help, Mentors and Networking 101 on The Search page to learn how to do this.

• Ask you preferred AI assistant. 

  • Better understand your own skills and where you will be successful at Roles.

  • Check out my writings on various industries and departments at the Industries page.

  • Already know what you want to do but are looking for guidance on how to find a job within that industry?  Check out The Search for advice.