Expert Sessions: How to Break into AI in 2024

WebinarJanuary 2024

Now more than ever, artificial intelligence (AI) is reshaping industries and creating new ways of interacting with technology. It is no surprise that the World Economic Forum lists AI & ML at the top of the fastest growing jobs over the next five years. As we step into 2024, AI continues to be rife with opportunities.

In this webinar, Sadie St. Lawrence, Chief AI Officer at SSL Innovations and Founder of Women in Data, will provide an in-depth exploration of best practices for breaking into AI in 2024. She will discuss the various roles, skills, and tools prevalent in today's AI industry. Additionally, she will offer guidance on building a resume tailored for AI careers, and share tips and tricks for effectively navigating the job hunt. There will also be ample opportunity for audience Q&A during the session.

Key Takeaways:

Learn about the key skills, tools, and roles needed to break into AI in 2024
Best practices for building your resume to break into AI—from creating portfolio projects to building your personal brand
Tips & tricks to effectively navigate the job hunt

Additional Resources

Slides

[SKILL TRACK] AI Fundamentals

[SKILL TRACK] OpenAI Fundamentals

[CODE-ALONG SERIES] Become a Generative AI Developer

[BLOG] How to Learn AI From Scratch in 2024: A Complete Guide From the Experts

[BLOG] The Top AI Certifications for 2024: A Guide to Advancing Your Tech Career

Summary

Exploring the ever-changing field of AI and data science, Sadie St. Lawrence, Chief AI Officer at SSL Innovations, provides deep insights into entering this industry. Her career path, transitioning from neuroscience to AI, highlights the diverse backgrounds one can have before entering data science. The session stressed the importance of understanding one's own motivations, utilizing transferable skills, and the significant role of community networking. Sadie explained her 'success formula' — a continuous cycle of learning, doing, and sharing — targeted at maintaining growth in one's career. She also touched upon the psychological challenges, like imposter syndrome, and how to overcome them by embracing continuous learning. Key discussions included the importance of finding a personal 'why', the need for a well-planned roadmap for career progression, and the significance of sharing knowledge to build a community and enhance personal branding.

Key Takeaways:

The AI sector offers a wide range of roles beyond traditional data science positions.
Understanding personal motivations ('your why') is vital for career longevity.
Transitional skills from non-data fields can be utilized in AI roles.
Networking and community involvement are significant for career advancement.
Continuous learning and practical application are essential in the rapidly changing field of AI.

Deep Dives

Diverse Roles in AI and Data Science

Sadie St. Lawrence highlighted the vast opportunities within the AI field, stating that the sector is not limited to roles such as machine learning engineers or AI research scientis ...
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ts. She presented a comprehensive list of job titles gathered from the Women in Data community, demonstrating the wide range of roles available. This variety is vital for individuals from various backgrounds seeking entry into the field, as it suggests that skills from related fields can be relevant and valuable. Sadie’s own career path—from neuroscience research to AI strategy—shows the potential for varied career paths within AI. She advises those considering entering the field to explore different roles to understand where they might fit best and to use their unique backgrounds as strengths.

Finding Your 'Why' and Creating a Personal Roadmap

Stressing the importance of self-awareness, Sadie discussed the need for understanding one's motivations or 'why', when pursuing a career in AI. Knowing what drives you can help maintain motivation through the challenges of job searching and career development. She advised participants to create a vision statement and engage in exercises like drafting a 'perfect day at work' to clarify their career goals. Additionally, Sadie emphasized the importance of planning out a personal roadmap, identifying skills gaps, and systematically working towards closing them. This structured approach ensures that career progression is intentional and aligned with personal goals.

The Power of Community and Networking

Sadie highlighted the vital role of networking and community involvement in career advancement. She shared her personal experience of how networking led to job opportunities without the need for formal applications. By participating actively in communities, individuals can build relationships that may lead to job referrals. Sadie also noted the importance of contributing to communities, whether through volunteering or sharing knowledge, to build a strong professional network. "Your network is your net worth," Sadie emphasized, bringing to light the value of community connections in the professional field.

Overcoming Imposter Syndrome and Embracing Continuous Learning

Addressing the common challenge of imposter syndrome, Sadie encouraged embracing continuous learning as a way to overcome self-doubt. She acknowledged that imposter syndrome is prevalent in tech fields, but taking action, regardless of scale, can alleviate these fears. Sadie shared her personal strategy of breaking down intimidating tasks into manageable steps, reinforcing the idea that progress, no matter how small, is a powerful antidote to fear. In a field as fast-paced as AI, staying curious and open to learning is not only beneficial but necessary, as technologies and methodologies evolve rapidly. "Action cures fear," she stated, advocating for proactive engagement in learning and doing.