7 answers
Simon
Student
Franktown, Colorado
2
Questions
Asked
463 views
How can I improve my tech skills ?
Such as in robotics and machine learning
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7 answers
Chaitanya Patel
Capture Manager
7
Answers
Bloomfield, New Jersey
Updated
Chaitanya’s Answer
Take technical courses and or enroll into a degree program to get the basic knowledge of the technology you are interested in. I would also recommend to get a part/full time job in the field of your interest to gain hands-on experience and learn from the people who are applying their technical knowledge in creating/fixing/maintaining/etc. what we use routinely.
I am really grateful you took the time to answer this question.
Simon
Edwin Anthony Joseph
Principal IT-Cloud Architect
10
Answers
Pune, Maharashtra, India
Updated
Edwin Anthony’s Answer
Boosting your technological abilities is vital for advancing in your career and maintaining your relevance in our rapidly changing digital world. Here are some actionable tips to level up your tech skills:
Pinpoint Improvement Areas:
Evaluate your current strengths and identify areas you wish to develop. Whether it's coding, networking, or cloud technologies, having clear objectives is key.
Self-Study and Educational Resources:
Books and Magazines: Immerse yourself in tech-related books and magazines. They offer comprehensive knowledge and insights.
Online Tutorials and Courses: Websites like Coursera, Udemy, and edX offer a plethora of courses on a variety of tech subjects.
Podcasts: Tune into tech podcasts to keep up with industry trends and gain wisdom from experts.
Blogs and Discussion Boards: Delve into online communities where professionals share their experiences and findings.
Practical Experience:
Projects: Get involved in hands-on projects. Whether it's building your own website, developing a mobile app, or setting up a home lab, these experiences are invaluable.
Internships and Volunteering: Look for internships or volunteering opportunities to gain experience on real-world projects.
Hackathons and Challenges: Join coding challenges and hackathons to solve problems and acquire new skills.
Master New Tools and Technologies:
Software Programs: Get acquainted with tools relevant to your field. For instance, learn data analysis using Python or web development with JavaScript.
Cloud Platforms: Gain knowledge about cloud computing (like AWS, Azure, Google Cloud). Cloud skills are in high demand.
Networking: Understand networking protocols, security, and troubleshooting.
DevOps Tools: Discover tools such as Docker, Kubernetes, and Jenkins for effective software development and deployment.
Certifications:
Seek industry-recognized certifications. They affirm your skills and boost your credibility.
Examples include CompTIA A+, Cisco CCNA, AWS Certified Solutions Architect, and Microsoft Certified: Azure Fundamentals4.
Connect and Network:
Participate in tech meetups, conferences, and online forums. Networking introduces you to a variety of viewpoints and opportunities.
Contribute to open-source projects or add to GitHub repositories.
Remember, continuous learning and adaptability are crucial. Welcome challenges, remain inquisitive, and continue to grow.
Pinpoint Improvement Areas:
Evaluate your current strengths and identify areas you wish to develop. Whether it's coding, networking, or cloud technologies, having clear objectives is key.
Self-Study and Educational Resources:
Books and Magazines: Immerse yourself in tech-related books and magazines. They offer comprehensive knowledge and insights.
Online Tutorials and Courses: Websites like Coursera, Udemy, and edX offer a plethora of courses on a variety of tech subjects.
Podcasts: Tune into tech podcasts to keep up with industry trends and gain wisdom from experts.
Blogs and Discussion Boards: Delve into online communities where professionals share their experiences and findings.
Practical Experience:
Projects: Get involved in hands-on projects. Whether it's building your own website, developing a mobile app, or setting up a home lab, these experiences are invaluable.
Internships and Volunteering: Look for internships or volunteering opportunities to gain experience on real-world projects.
Hackathons and Challenges: Join coding challenges and hackathons to solve problems and acquire new skills.
Master New Tools and Technologies:
Software Programs: Get acquainted with tools relevant to your field. For instance, learn data analysis using Python or web development with JavaScript.
Cloud Platforms: Gain knowledge about cloud computing (like AWS, Azure, Google Cloud). Cloud skills are in high demand.
Networking: Understand networking protocols, security, and troubleshooting.
DevOps Tools: Discover tools such as Docker, Kubernetes, and Jenkins for effective software development and deployment.
Certifications:
Seek industry-recognized certifications. They affirm your skills and boost your credibility.
Examples include CompTIA A+, Cisco CCNA, AWS Certified Solutions Architect, and Microsoft Certified: Azure Fundamentals4.
Connect and Network:
Participate in tech meetups, conferences, and online forums. Networking introduces you to a variety of viewpoints and opportunities.
Contribute to open-source projects or add to GitHub repositories.
Remember, continuous learning and adaptability are crucial. Welcome challenges, remain inquisitive, and continue to grow.
Krupa V S
HR
1
Answer
Chennai, Tamil Nadu, India
Updated
Krupa’s Answer
Stay curious and passionate about your interests, as they can be the driving force behind your success. Reading books and researching topics that intrigue you, for example, if electronics fascinate you, immersing yourself in related literature can be beneficial. There are numerous free resources available that you can utilize to bring your ideas to life and envision your future path.
Moreover, if you're a student, consider volunteering at a government or private office. This real-world experience can provide valuable insights and also help you find mentors. Don't hesitate to ask questions and seek advice, as it can significantly boost your confidence. If a particular job piques your interest, discussing it with a mentor can provide you with the guidance needed to pursue it.
Remember, your interest is your greatest educator and an endless source of motivation on your journey to success. Make sure to acquire knowledge in a systematic manner. Partial understanding won't provide a comprehensive view, so strive for a complete grasp of your chosen subject.
Lastly, practice is crucial. It's through hands-on experience that you'll uncover your weaknesses and determine the areas that require more effort. Keep practicing, keep learning, and keep striving for success!
Moreover, if you're a student, consider volunteering at a government or private office. This real-world experience can provide valuable insights and also help you find mentors. Don't hesitate to ask questions and seek advice, as it can significantly boost your confidence. If a particular job piques your interest, discussing it with a mentor can provide you with the guidance needed to pursue it.
Remember, your interest is your greatest educator and an endless source of motivation on your journey to success. Make sure to acquire knowledge in a systematic manner. Partial understanding won't provide a comprehensive view, so strive for a complete grasp of your chosen subject.
Lastly, practice is crucial. It's through hands-on experience that you'll uncover your weaknesses and determine the areas that require more effort. Keep practicing, keep learning, and keep striving for success!
Sarah Wojcik
3
Answers
Updated
Sarah’s Answer
Improving your tech skills can open up a world of opportunities in today's digital age. Honestly the best way to get better at anything is to practice those skills.
Here are several ways you can enhance your tech skills:
Online Courses
Coding Bootcamps
Join Tech Communities
Read Tech Blogs and Book
Take on New Projects at Work
Attend Workshops and Conferences
Utilize Online Coding Platforms
Experiment with New Technologies
Continuous Learning
Here are several ways you can enhance your tech skills:
Online Courses
Coding Bootcamps
Join Tech Communities
Read Tech Blogs and Book
Take on New Projects at Work
Attend Workshops and Conferences
Utilize Online Coding Platforms
Experiment with New Technologies
Continuous Learning
I appreciate this, thank you for the advice.
Simon
Sayonika Das
Software Engineer
3
Answers
Bengaluru, Karnataka, India
Updated
Sayonika’s Answer
You can start with learning a simple programming language, let's say python (since its mostly used in ML and robotics projects)
Enroll to online courses on udemy, coursera etc. and start with making simple projects.
Listen to relevant podcasts on youtube.
Practice and learn the tools to increase efficiency.
Join Tech Communities and Forums: Engage with online tech communities, forums, and social media groups related to your area of interest. Participate in discussions, ask questions, share knowledge, and collaborate with other learners and professionals in the tech industry.
Start with this simple project: cats vs dogs image classification using KNN classification!
Enroll to online courses on udemy, coursera etc. and start with making simple projects.
Listen to relevant podcasts on youtube.
Practice and learn the tools to increase efficiency.
Join Tech Communities and Forums: Engage with online tech communities, forums, and social media groups related to your area of interest. Participate in discussions, ask questions, share knowledge, and collaborate with other learners and professionals in the tech industry.
Sayonika recommends the following next steps:
Sumabala Nair
IT Architect
9
Answers
Coppell, Texas
Updated
Sumabala’s Answer
Hello Simon,
Let's dive into the 'what':
Starting your adventure in robotics and machine learning requires laying a solid groundwork in mathematics, programming, and data structures. In the realm of robotics, it's key to understand the basics, get familiar with software platforms like ROS, and gain practical experience with robotics kits. As for machine learning, it's essential to master the fundamental principles and become adept with libraries such as TensorFlow and PyTorch. Delve into the fusion of both fields by employing machine learning algorithms in robotics for tasks like navigation and recognition. Studying Generative AI can notably boost your robotics and machine learning pursuits by encouraging inventive problem-solving, generating extra training data, and enhancing human-AI interactions. It also assists in crafting optimized robotic components and setups, demonstrating its potential to spark creativity and efficiency in these cutting-edge tech areas.
Moving onto the 'how':
There's a wealth of online resources - platforms like Udemy, Khan Academy, Coursera; a plethora of YouTube videos that can aid your learning, mostly at no cost. For hands-on practice, consider coding challenge websites - LeetCode, Codecademy, and the like could be excellent starting points. You're likely already familiar with these :) Engage in tech forums, join hackathons and bootcamps. Subscribe to feeds in your area of interest, read up on articles, contribute. Connect with online communities, compete in contests for practical experience, and keep up with the latest research through lifelong learning. Constructing and showcasing a portfolio of projects is key to demonstrating your abilities. Develop small projects, share them on GitHub, receive feedback, learn, and develop. This will help you display your skills, learn from others with similar interests and abilities, and establish your expertise in this field. Consider contributing to an open-source project that piques your interest. Share your knowledge and insights on platforms like Medium or LinkedIn to benefit others. Seek out a mentor who's well-established in the field to provide guidance, advice, and networking opportunities. Attend meetups, workshops, and conferences. This holistic approach, merging theoretical knowledge with practical application and community involvement, will set the stage for success in these dynamic and evolving fields.
Lastly, the 'when':
If all this sounds daunting, don't fret. Always remember, the path to learning tech, or anything really, is more of a marathon than a sprint. Keep going, and don't let obstacles deter you. Every hurdle is a chance to learn and better yourself. As you learn and evolve, you'll be able to hone in on a specific area that intrigues you the most and promises ample growth opportunities. No knowledge ever goes to waste.
Best of luck, and enjoy your learning journey!
Let's dive into the 'what':
Starting your adventure in robotics and machine learning requires laying a solid groundwork in mathematics, programming, and data structures. In the realm of robotics, it's key to understand the basics, get familiar with software platforms like ROS, and gain practical experience with robotics kits. As for machine learning, it's essential to master the fundamental principles and become adept with libraries such as TensorFlow and PyTorch. Delve into the fusion of both fields by employing machine learning algorithms in robotics for tasks like navigation and recognition. Studying Generative AI can notably boost your robotics and machine learning pursuits by encouraging inventive problem-solving, generating extra training data, and enhancing human-AI interactions. It also assists in crafting optimized robotic components and setups, demonstrating its potential to spark creativity and efficiency in these cutting-edge tech areas.
Moving onto the 'how':
There's a wealth of online resources - platforms like Udemy, Khan Academy, Coursera; a plethora of YouTube videos that can aid your learning, mostly at no cost. For hands-on practice, consider coding challenge websites - LeetCode, Codecademy, and the like could be excellent starting points. You're likely already familiar with these :) Engage in tech forums, join hackathons and bootcamps. Subscribe to feeds in your area of interest, read up on articles, contribute. Connect with online communities, compete in contests for practical experience, and keep up with the latest research through lifelong learning. Constructing and showcasing a portfolio of projects is key to demonstrating your abilities. Develop small projects, share them on GitHub, receive feedback, learn, and develop. This will help you display your skills, learn from others with similar interests and abilities, and establish your expertise in this field. Consider contributing to an open-source project that piques your interest. Share your knowledge and insights on platforms like Medium or LinkedIn to benefit others. Seek out a mentor who's well-established in the field to provide guidance, advice, and networking opportunities. Attend meetups, workshops, and conferences. This holistic approach, merging theoretical knowledge with practical application and community involvement, will set the stage for success in these dynamic and evolving fields.
Lastly, the 'when':
If all this sounds daunting, don't fret. Always remember, the path to learning tech, or anything really, is more of a marathon than a sprint. Keep going, and don't let obstacles deter you. Every hurdle is a chance to learn and better yourself. As you learn and evolve, you'll be able to hone in on a specific area that intrigues you the most and promises ample growth opportunities. No knowledge ever goes to waste.
Best of luck, and enjoy your learning journey!
Thank you for giving me advice.
Simon
Agata Indiatsi
Program Manager Student Finance
5
Answers
Denver, Colorado
Updated
Agata’s Answer
Just like any other field, if you're aiming to enhance your technology skills, here are some strategies to consider. Continual practice and pushing your boundaries are key to growth. It's also crucial to connect and establish professional relationships with individuals who have more experience in your area of interest. Remember, practice is the cornerstone of improvement, so keep at it.