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🌟 AI Career Master Class

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  1. 1 - THE ULTIMATE AI CAREER COURSE

    1.1 Welcome to "Master Your Career with AI"
    4 Topics
  2. 1.2 Launch Your Path to Success
    2 Topics
  3. 1.3 What is AI and Why it Will Change Everything
    5 Topics
  4. 1.4 Your Feedback
  5. 2 - AI CAN HELP YOU IN YOUR CAREER
    2.1 Most Important Career Activities you Need to Master
    10 Topics
    |
    10 Quizzes
  6. 2.2 How AI can Become Your Superpower
    2 Topics
  7. 2.3 Your Feedback
  8. 3 - TOP GENERATIVE AI TOOLS YOU NEED TO KNOW
    3.1 These 5 Gen AI Tools You Need To Master
    5 Topics
  9. 3.2 AI Writing Tools Which Are Magic
    6 Topics
  10. 3.3 AI Voice Tools Which Listen To You
    3 Topics
  11. 3.4 Learn These Mind Blowing AI Art Tools
    6 Topics
  12. 3.5 These AI Video Generator Are Game Changer
    6 Topics
  13. 3.6 Your Feedback
  14. 4 - AI'S INFLUENCE ON THE FUTURE OF WORK
    4.1 AI Solutions Shaping Industries
    8 Topics
  15. 4.2 How AI Is Transforming Jobs
    8 Topics
  16. 4.3 New AI Jobs and Opportunities
    10 Topics
  17. 4.3 Your Feedback
  18. 5 - LEARN TO PROMPT PERFECT (ACCESS TO 100+ PROMPT LIBRARIES)
    5.1 Learn to Use AI for Your Benefit
    3 Topics
  19. 5.2 Your Feedback
  20. 6 - The POWER OF CERTIFICATES (ACCESS TO 100+ Certificates)
    6.1 Get Yourself a Certificate
    2 Topics
  21. 6.2 Your Feedback
  22. 7 - WHERE TO FIND AI JOP OPENINGS? (ACCESS TO 100+ AI Job Openings)
    7.1 AI Job Catalogs
    6 Topics
  23. 7.2 Your Feedback
  24. 8 - USE AI TO LEVEL UP IN YOUR CURRENT ROLE
    8.1 Become an AI Expert in Your Domain
    3 Topics
  25. 8.2 How to Use AI as a Promotion Booster
    3 Topics
  26. 8.3 AI-Powered Networking
    4 Topics
  27. 8.4 Your Feedback
  28. 9 - HOW AI CAN HELP YOU GETTING A NEW/DREAM JOB
    9.1 AI To Create A Perfect Application
    6 Topics
  29. 9.2 Enhancing Interview Performance with AI Insights
  30. 9.3 Your Feedback
  31. 10 -AI ON THE WAY TO AGI - ETHICAL CONSIDERATIONS
    10.1 Ethical Questions and Considerations using AI
    6 Topics
  32. 10.2 Your Feedback
  33. 11 - AI POWERED CAREER PLANNING - NEXT SECRET TO SUCEES
    11.1 Creating a Career Plan with AI-driven Insights
    3 Topics
  34. 12 - AI Newsletters and Resources
    12.1 - Key AI Publications, Newsletter and Resources
    5 Topics
  35. 13 - Roadmap
    13.1 - Roadmap and Releases
  36. TBD Parking Lot
    Course Recap
    2 Topics
  37. Additional Resources
    1 Topic
  38. Make AI your Career Superpower
    4 Topics
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4.3.9 AI Robotics Engineer

AI Robotics Engineer

ROLE OVERVIEW

An AI Robotics Engineer is a professional who specializes in the intersection of artificial intelligence (AI) and robotics. This role involves designing, developing, and maintaining intelligent robotic systems that use AI to learn from their environment and adapt their behavior accordingly. These systems can range from autonomous vehicles and drones to industrial robots, all aimed at making operations more efficient, effective, and safe[1].

KEY RESPONSIBILITIES

AI Robotics Engineers are responsible for the entire lifecycle of robotic systems. This includes:

  • Designing innovative robotic systems that integrate AI technologies.
  • Developing these systems by programming them to perform specific tasks or actions.
  • Testing the systems to ensure they operate as intended.
  • Maintaining and updating the systems to improve their efficiency or to adapt to new requirements.

Their work is crucial in industries such as manufacturing, healthcare, finance, and transportation, where robotic automation and AI technologies are increasingly adopted to improve efficiency and productivity[1].

EDUCATION AND SKILLS

To become an AI Robotics Engineer, a strong educational background in relevant fields is essential. Here’s a typical pathway:

  1. Bachelor’s Degree: Start with a bachelor’s degree in computer science, robotics, electrical engineering, or a related field. This provides a foundation in the core principles of engineering and computer science[2][3].

  2. Master’s Degree: Although not always required, a master’s degree in artificial intelligence, robotics, or a closely related discipline can significantly enhance your knowledge and job prospects. It offers specialized skills and a deeper understanding of AI and robotics technologies[3].

  3. Certifications and Courses: Obtaining certifications related to AI, machine learning, robotics, and computer vision can demonstrate your skills and knowledge in the field. Popular certifications include those offered by professional organizations and online learning platforms[1][3].

  4. Practical Experience: Hands-on experience is crucial. Engage in internships, projects, or hackathons that allow you to apply theoretical knowledge to real-world problems. Building a portfolio of projects can also be beneficial when seeking employment[3].

HOW TO BECOME ...

    1. Acquire a Strong Educational Foundation: Complete a bachelor’s and, if possible, a master’s degree in fields related to AI and robotics[2][3].

    2. Develop Relevant Skills: Gain proficiency in programming languages (such as Python, C++, and Java), machine learning, computer vision, and robotics. Soft skills like problem-solving, critical thinking, and teamwork are also important[1][2][3].

    3. Gain Practical Experience: Participate in internships, research projects, or personal projects that allow you to work with AI and robotics technologies[3].

    4. Obtain Certifications: Consider obtaining certifications that validate your expertise in AI, machine learning, robotics, and related technologies[1].

    5. Stay Updated and Network: The field of AI and robotics is rapidly evolving. Stay informed about the latest developments and network with professionals in the field through conferences, workshops, and online communities[1][3].

    6. Apply for Jobs: With the necessary education, skills, and experience, start applying for AI Robotics Engineer positions. Tailor your resume to highlight relevant skills and experiences that match the job requirements[1][2].

    Becoming an AI Robotics Engineer requires a combination of formal education, practical experience, and continuous learning to keep up with the advancements in the field.

FREE COurses

  • Here is a list of free AI Robotics Engineer online courses, with citation links used in the headlines:

    Introduction to Robotics

    Offered by Stanford University via YouTube, this course covers topics such as Spatial Descriptions, Forward Kinematics, Inverse Kinematics, Jacobians, Dynamics, Motion Planning and Trajectory Generation, Position and Force Control, and Manipulator Design.

    Modern Robotics

    Provided by Northwestern University via YouTube, this course includes comprehensive content on the mechanics, planning, and control of robots.

    Begin Robotics

    This course from the University of Reading via FutureLearn explores the history, anatomy, and intelligence of robots with simulations to test drive robots.

    Robotics Foundations I – Robot Modeling

    Offered by the University of Naples Federico II via edX, this course delves into the robotics foundations for modeling robot manipulators.

    Hello (Real) World with ROS – Robot Operating System

    Provided by Delft University of Technology via edX, learners can understand the fundamentals of ROS to create advanced robotic systems.

    AI and Robotics: A blessing or a curse?

    This course by Delft University of Technology via edX discusses the societal impact of artificially intelligent robots.

    Robotics With Raspberry Pi: Build and Program Your First Robot Buggy

    Offered by the Raspberry Pi Foundation via FutureLearn, this course teaches how to build and program a robot buggy using a Raspberry Pi.

    AI for Robotics

    Stanford University offers a course on programming robotic car systems and mastering AI basics like probabilistic inference, planning, search, and control.

    Robotics

    The University of Pennsylvania provides a course on Coursera that covers robot flight, movement, perception, and programming for complex tasks.

    Introduction to Generative AI

    This course by Google Cloud on Coursera introduces generative AI, which can be applied in robotics.

    These courses are available for free and can be accessed online, providing a convenient way for aspiring AI Robotics Engineers to learn and expand their knowledge in the field.

UNIVERSITIES COurses & CERTIFICATIONS

Here is a list of AI Robotics Engineer courses and certifications from universities, with the course names used to create citation links:

SALARY INFO

Here’s a table summarizing the US salary information for AI Robotics Engineers from the provided sources:

SourceAverage Annual SalarySalary Ranges
Glassdoor$152,553$115,505 – $203,568
Indeed$113,233Not specified
Built In$127,090$89,000 – $302,000
ZipRecruiterNot specified$28,751 – $167,551
SimplilearnOver $100,000Not specified
Coursera$85,936Not specified
ai-jobs.netBetween $82,000 and $165,000$82,000 – $165,000
Simplilearn$100,640Not specified

This table provides a comprehensive overview of the salary information for AI Robotics Engineers in the US, including average annual salaries and salary ranges where available.

LEARNING VIDEOS

7:44 min.

Credits and a Big Thank you to Learn Robotics

6 min.

Credits and a Big Thank you to Learn Robotics and AI

4 min.

Credits and a Big Thank you to Koka and Timo Boll 

CITATION & References

[1] https://www.linkedin.com/pulse/how-ai-robotics-engineer-naem-azam-chowdhury 
[2] https://jobs.washingtonpost.com/article/artificial-intelligence-careers-to-consider-robotics-engineer/ 
[3] https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/how-to-become-an-ai-engineer 
[4] https://www.simplilearn.com/how-to-become-a-robotics-engineer-article 
[5] https://resources.workable.com/robotics-engineer-job-description 
[6] https://www.tealhq.com/career-paths/robotics-engineer 
[7] https://onlinedegrees.sandiego.edu/artificial-intelligence-engineer-career/ 
[8] https://www.reddit.com/r/AskEngineers/comments/tpjr7n/how_can_i_become_a_robotics_engineer/ 
[9] https://ai.sony/joinus/job-roles/Senior-Robotics-Engineer/ 
[10] https://www.techtarget.com/whatis/feature/How-to-become-an-artificial-intelligence-engineer 
[11] https://bootcamp.cvn.columbia.edu/blog/how-to-become-a-robotics-engineer/ 
[12] https://www.shrm.org/topics-tools/tools/job-descriptions/robotics-engineer 
[13] https://www.tealhq.com/education/robotics-engineer 
[14] https://www.temok.com/blog/robotics-engineer/ 
[15] https://pg-p.ctme.caltech.edu/blog/ai-ml/how-become-robotics-engineer 
[16] https://www.princetonreview.com/careers/139/robotics-engineer 
[17] https://www.datacamp.com/blog/how-to-become-an-ai-engineer 
[18] https://business.linkedin.com/talent-solutions/resources/how-to-hire-guides/robotics-engineer/job-description 
[19] https://emeritus.org/blog/technolohy-how-to-become-a-robotics-engineer/ 
[20] https://snaphunt.com/resources/job-descriptions/robotics-engineer-job-description

Courses and Certifications
[1] https://www.coursera.org/courses?query=robotics 
[2] https://www.techtarget.com/whatis/feature/10-top-artificial-intelligence-certifications-and-courses 
[3] https://www.cmu.edu/roboticsacademy/Training/certificationsv2.html 
[4] https://www.bradley.edu/academic/departments/me/certificate/robotics/ 
[5] https://ris.princeton.edu [6] https://www.coursera.org/courses?query=robotics+engineer 
[7] https://professional.mit.edu/course-catalog/professional-certificate-program-machine-learning-artificial-intelligence-0 
[8] https://ai.engineering.columbia.edu

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