What do you do if you want to land an AI internship?

To land an AI internship, start by building a solid foundation in AI through online courses and personal projects. Showcase your skills and projects on a personal website or GitHub. Network actively by attending AI conferences, workshops, and joining relevant online communities. Update your LinkedIn profile to reflect your AI skills and interests. Apply to internships through job boards, company websites, and career fairs, tailoring your resume and cover letter to highlight relevant coursework, projects, and skills. Practice for interviews by studying common AI concepts and problems. Persistence and a proactive approach in applying and networking are key to securing an internship in AI.

First figure out whether you want a very technical internship (AI engineering) or whether you want a business focused internship (AI Marketing). For both you should make sure to have a look around and figure out what kinds of skills and knowledge is needed and what gaps you have. For a more technical internship like AI engineer, a good place to start is to get the basics of programming languages like Python, and the basics of Machine Learning, Deep Learning and Generative AI. For a more business focused internship like Marketing in/with AI a good place to start is to get an intro to Machine Learning, Deep Learning, Generative AI, and how AI is impacting business. They're both equally important, and one could not exist without the other.

Start by exploring diverse industries such as healthcare, finance, and automotive where AI is making an impact and make sure it aligns with your area of interest within AI. Is it product design or more technical? You should establish a profile on linkedin that showcases your personal or group projects highlighting your coursework, projects, and any self-taught skills, emphasizing your eagerness to learn and adapt in a fast-evolving field. Prepare for interviews by being ready to discuss your projects and how you keep up with AI trends. Attend free AI-related online workshops and webinars for networking and knowledge which you can find on Linkedin, edX, coursera to gain a better understanding of where you want to focus.

To secure an AI internship, focus on building a strong foundation in both technical skills 💻 and ethical considerations in AI ⚖️. Seek out opportunities to apply your knowledge through personal projects, hackathons, and research collaborations. Network with professionals in the field 🤝 and tailor your resume and cover letter to highlight your relevant skills and passion for AI.

1. Choose what excites you! Do you want to generate/learn image, text, speech or any other form of data? AI is a broad field, pick the type of data you want to work with. 2. Research on opportunities: Check what's out there in the market. See how companies are using the data you picked in step 1. 3. Explore what operations can be performed (incremental learning): Let's say you like image data, build a roadmap to learn image classification->detection->segmentation->OCR->image generation. 4. Stick to the plan: Don't sabotage your topic at hand by leaving it halfway just because someone released a groundbreaking paper. Instead, add it to the roadmap. 5. Start applying: Filter your area of expertise and hit apply with confidence!

Building a strong portfolio is essential to showcase your skills and projects related to AI. Include projects that demonstrate your understanding of machine learning, data analysis, and programming languages like Python. Open-source contributions or personal projects can also add value to your portfolio.

First off, let me caveat by saying I've never been an intern myself but I have had many interns work for me over the years. When I get a stack of intern letters/resumes, I look at their external portfolio, things done outside of academia. Most interns have a stellar list of academic achievements so this is not a differentiator. Some things I look at: - LinkedIn presence: up-to-date, professional, showcasing "digital networking" skills. - Open-source contributions. - Thought leadership - Work experience: not necessarily relevant to the internship but work demonstrating social and organizational skills. - Something truly unique - an unconventional pursuit or quality that sets you apart, not just commonplace projects/competitions.

To build a strong portfolio in AI, start by creating a personal website using platforms like GitHub Pages or Google Sites. Showcase your projects, skills, and experience on this website, and include links to your GitHub, Kaggle, and LinkedIn profiles. On GitHub, upload your AI projects with clear documentation, and actively contribute to open-source projects. Join Kaggle to participate in competitions and share your analyses and solutions. Optimize your LinkedIn profile to highlight your AI expertise and connect with professionals in the industry. By establishing a compelling presence across these platforms, you can effectively demonstrate your skills and increase your chances of landing an AI internship or job.

Digital networking is essential these days and, frankly, easy to do. However, the intern applicants who have really impressed me were the ones who approached me at a conference or event or reached out and wanted to grab a coffee, etc. Nothing beats in-person networking. You absolutely should do digital networking, but do not forget that the most powerful networking is in person!

"It's not what you know, it's who you know" Someone told me this early in my career and it has been proven true time and time again. It's still important to be knowledgeable and coachable. But a strong network is hard to beat. Landing an AI internship is about connecting dots in a network where each dot is a potential opportunity. Engage on LinkedIn, Twitter, and at AI events not just to collect contacts, but to show genuine interest and share your insights. Remember, every interaction is a chance to demonstrate your passion for AI and the unique value you bring. Be curious, be eager, and most importantly, be yourself!

Networking is key in any industry, including AI. Attend relevant industry events, join AI-related communities or forums, and connect with professionals in the field. Engaging in conversations and seeking advice from experienced individuals can provide valuable insights and potential internship opportunities.

Networking and reaching out are essential steps in advancing your career in AI. Participate in community events hosted by tech giants like Google, GDG (Google Developer Groups), Microsoft, Amazon, and others, as well as tech conferences, conclaves, and workshops. Engage with fellow professionals, share your experiences, and learn from others in the AI community. Additionally, consider attending focused programs like workshops and FDPs (Faculty Development Programs) to deepen your knowledge and expand your network. By actively participating in these events, you can build valuable connections, stay updated on industry trends, and discover new opportunities for growth and collaboration in the field of artificial intelligence.

Craft a well-structured resume highlighting your relevant coursework, projects, and technical skills. Tailor your resume to match the internship requirements and emphasize any AI-related experience. Similarly, write a compelling cover letter that demonstrates your passion for AI and explains why you are a suitable candidate for the internship.

When preparing your resume and cover letter for an AI position, it's essential to ensure they are ATS (Applicant Tracking System) friendly and structured, with LaTeX being a preferred format due to its professionalism and customization options. Begin with a clear and concise summary highlighting your AI skills, experience, and achievements. Use relevant keywords throughout your resume to improve its visibility to ATS systems. By presenting a well-structured and ATS-friendly resume and cover letter in LaTeX format, you enhance your chances of getting noticed by hiring managers in the competitive field of artificial intelligence.

To ace your AI interview, ensure your preparation aligns with your resume and the job requirements. Review your experiences, skills, and accomplishments, and familiarize yourself with the company's AI projects. Practice answering technical and behavioral questions, and communicate your passion for AI during the interview. Asking insightful questions demonstrates your enthusiasm and suitability for the role.

Research the company and the specific AI projects they are working on. Prepare for technical questions related to machine learning algorithms, data manipulation, and programming languages. Showcase your problem-solving skills and ability to work in a team. Additionally, be prepared to discuss your previous AI projects and how they demonstrate your abilities.

Stay updated with the latest AI trends and advancements. Consider enrolling in online courses or certifications to enhance your knowledge and skills. Participate in AI-related competitions or hackathons to gain practical experience and make your resume stand out. Finally, don't be discouraged by rejections; keep learning, improving, and applying to relevant internships.

Be sure in the direction in AI you want to continue into. There is so much to discover and once you've determined technical / non-technical and what industry it will help in the process.

The company I co-founded, www.L-EAFlab.org, offers 12-week college internships, and we have a cohort specifically for AI learning. We are hiring interns right now.