Lilly Tech Systems
AI Career Guide
Navigate the rapidly growing AI job market with confidence. From choosing the right career path to acing interviews and building a standout portfolio — everything you need to launch or advance your career in artificial intelligence.
Your Learning Path
Follow these lessons to build a strategic plan for your AI career.
1. Introduction
The AI job landscape, why now is the best time to enter, and how to plan your career journey.
2. Career Paths
ML Engineer, Data Scientist, AI Researcher, Prompt Engineer, and more. Roles, salaries, and day-to-day work.
3. Skills & Education
Technical and soft skills needed for each role. Degrees, certifications, bootcamps, and self-learning paths.
4. Portfolio Building
GitHub projects, Kaggle competitions, blog posts, and open-source contributions that get you hired.
5. Interview Prep
Technical interviews, system design, ML case studies, coding challenges, and behavioral questions.
6. Networking
Building your professional network, conferences, communities, LinkedIn strategy, and mentorship.
7. Best Practices
Resume optimization, salary negotiation, continuous learning, and long-term career growth strategies.
What You'll Learn
By the end of this course, you'll be able to:
Choose Your Path
Identify the AI career path that best matches your skills, interests, and goals.
Build Skills
Develop the technical and soft skills that top AI companies are looking for.
Stand Out
Create a portfolio and online presence that makes you memorable to hiring managers.
Get Hired
Prepare for and ace AI interviews at companies of all sizes.