Jumpstart Your AI Career
Published by Pearson
Design Your Roadmap to Upskill and Thrive in AI
- Leave this class with an actionable plan to upskill into AI
- Know how to identify which resources are worth your time
- Leverage what you learn in job interviews
You want to figure out how to work with AI, but you don't know where to start or how it will lead you into your dream AI job. There are an overwhelming number of courses on AI and so many areas you can focus on. But what resources are worth your time, and how do you leverage them to get into your dream role working with AI?
This course provides insights on identifying your AI interests, learning resources, upskilling methodologies, and mastering necessary tools and technologies in order to build a strategic roadmap for transitioning into an AI role. It includes practical guidance on portfolio creation and successful navigation of the AI job market. Essentially, it's your step-by-step guide to formulate a personalized plan, upskill effectively, and ultimately establish a thriving career in AI.
What you’ll learn and how you can apply it
By the end of the live online course, you’ll understand:
- Why AI matters in your career
- How to assemble your AI upskill roadmap and identify the best resources
- How to land a job in AI
And you’ll be able to:
- Build your own roadmap to break into AI
- Confidently enroll in your first, or next, AI class
- Know what meetups to join to meet other people in the space
- Distinguish reality from the hype
This live event is for you because...
- You’re excited about AI but don't know where to start
- You don't want to get left behind in your tech career
- You’ve heard a lot of hype but need actionable steps
- You work in tech in a developer, product management, product marketing, design, research, or related role
Prerequisites
- General understanding of what AI is
Recommended Preparation
- Read: What Is AI by Mike Loukides and Ben Lorica
Recommended Follow-up
- Attend: Large Language Model and ChatGPT in 3 Weeks with Sinan Ozdemir
- Watch: What’s New In AI: Generative AI by George Anadiotis and Dan Jeffries,
- Watch: ChatGPT and DALL-E: Sell Your Creative Thinking with AI by AI Daily LLC
- Watch: AI in Marketing: Master Techniques to Make AI Work for You by Mike Moran
- Watch: Machine Learning for Absolute Beginners - Level 1 by Idan Gabrieli
- Watch: Projects in Machine Learning: From Beginner to Professional by Eduonix Learning Solutions
- Read: Hands-On Artificial Intelligence for Beginners by Patrick D. Smith
- Read: Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli
- Read: Artificial Intelligence By Example, Second Edition by Denis Rothman
- Read: Artificial Intelligence Business: How you can profit from AI by Przemek Chojecki
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Segment 1: Overview (15 minutes)
- Beyond the AI hype
- Why it matters, and why now
- Your career and AI
Segment 2: Understanding AI (30 minutes)
- What is and isn’t AI
- Disciplines within AI and their applications
Segment 3: Discovering Your AI Interests (30 minutes)
- Determining which areas are most exciting to you
- Identifying your favorite AI products
- Deconstructing how the best AI products work
Q&A (10 minutes)
Break (10 minutes)
Segment 4: The Right Resources (15 minutes)
- Finding the best, most relevant resources
- Assessing whether a resource is right for you, your goals, and your discipline
Segment 5: Building Your Upskilling Roadmap (30 minutes)
- Skillmapping
- Continuous learning
- Setting milestones
- Sharing your achievements
Segment 6: Getting Your First Job In AI (15 minutes)
- Updating your LinkedIn profile and resume
- Identifying opportunities
- Preparing for interviews
Q&A (15 minutes)
Course wrap-up and next steps (10 minutes)
Your Instructor
Anne T. Griffin
Anne is a product leader, a startup advisor, and subject matter expert in AI, blockchain, tech ethics and inclusivity. She has lectured at prestigious universities across North America such as Columbia University, West Point, the University of Montreal, and Morgan State University, spoken at major events such as SXSW, and created courses for O’Reilly Media. You can also listen to her takes on AI, blockchain, and other technologies on the YouTube Original series, RetroTech, with Marquees Brownlee, and podcasts such as Blockchain Won’t Save the World, Dream Nation Love, and Let’s Chat Ethics.
She has built her career in tech over the last decade working with organizations such as Priceline, Microsoft, Comcast, Mercedes-Benz, and ConsenSys, the premiere blockchain software technology company on the Ethereum blockchain. Anne continues to work with and research the practical human aspects of technology and building products with emerging and disruptive technologies.