Jumpstart Your AI Career: Navigating the AI Job Landscape

Course details

Are you interested in a career in the field of artificial intelligence? In this course, learn how you can leverage the changes AI is bringing to the workplace to start your own career in AI. Instructor Anne Griffin starts with a look at the AI landscape, and helps you define what AI is and what it isn’t. Anne then guides you through the world of AI—the disciplines and applications, including machine learning, natural language processing, computer vision, and more. She also helps you figure out your own AI interests, analyze your personal favorite AI products, and dives into the many AI resources at your disposal. Anne then details the many different avenues you can take to learn more, from meets, newsletters, and podcasts, to classes and conferences. Finally get tips on how to identify opportunities and prepare for interviews.

Learning objectives
Analyze yourself to establish your interests and passions.
Utilize resources to understand what AI is and is not.
Identify what makes for a successful AI product.
Decide whether or not you need more formal education related to AI or not.
Establish goals for your AI career and how to fulfill them.
Update how you present yourself on LinkedIn and in your resume.
Find opportunities and get ready for interviewing.

Concepts

0. Introduction

01 - Introduction

1. Press Start - AI and Your Career

02 - Topics
03 - Finding your why
04 - Dispelling AI myths
05 - The changing job landscape

2. Defining AI - What Is and Isn't AI

06 - Topics
07 - Definition of AI
08 - AI attributes
09 - What isn t AI

3. Navigating the World of AI - Disciplines and Applications

10 - Topics
11 - AI disciplines overview
12 - Machine learning
13 - Natural language processing
14 - Neural networks
15 - Deep learning
16 - Computer vision
17 - Large language models (LLMs)
18 - Robotics

4. Getting Started - Discover Your AI Interests

19 - Topics
20 - Identifying your AI interests
21 - Analyze your favorite industries

5. Learn from the Best - Analyze Your Favorite AI Products

22 - Topics
23 - AI in Instagram
24 - AI in the Apple Watch
25 - AI in self-driving cars
26 - Exploring your favorite product and industry

6. Resource Types - Explore Diverse Resources

27 - Topics
28 - Product resources
29 - Technical resources
30 - Ethics and responsible AI resources
31 - Policy resources
32 - Futurism resources
33 - Identifying your own resources

7. Self-Paced Learning - Meetups, Newsletters, and Podcasts

34 - Topics
35 - Meetups
36 - Newsletters and blogs
37 - Podcasts
38 - Online communities
39 - Books and research papers
40 - Projects

8. Class Is in Session - Classes, Conferences, and More

41 - Topics
42 - Classes and courses
43 - Conferences
44 - Mentors
45 - Academic programs

9. Bridging the Gaps - Skill Mapping and Continuous Learning

46 - Topics
47 - Skill mapping
48 - Building my own roadmap
49 - Finding what roles interest you
50 - Continuous learning strategies

10. The Road Ahead - Set Milestones

51 - Topics
52 - Setting milestones
53 - Building your AI upskilling roadmap

11. Looking Good on Paper - Update Your LinkedIn Profile and Resume

54 - Learning objectives
55 - Updating your LinkedIn
56 - Updating your resume
57 - Identifying opportunities

12. Showtime - Identify Opportunities and Prepare for Interviews

58 - Topics
59 - Research the interview
60 - Tell your story
61 - Practice interviewing

Conclusion

62 - Summary