Jumpstart Your AI Career
English | Tutorial | Size: 1.7 GB
Jumpstart Your AI Career presents the essential knowledge, tools, and mindsets needed to thrive in AI. The video begins with core AI concepts and then turns to helping you discover you interests in AI. The course walks you through key stages in launching your AI career, from discovering your interests and passions, to understanding the opportunities out there, to preparing for job interviews and getting hired.
About the Instructor
Anne T. Griffin is a product leader and coach with 13+ years of experience building products in 0 to 1 startups and in Fortune 500 giants in multiple industries, including AI and blockchain. She has worked across B2C, B2B2C, and B2B SaaS. Coaching and teaching are her passions of mine, and she has taught guest lectures at Columbia and West Point. He insights into AI and technology have been highlighted in Rolling Stone and The Atlantic.
Learn How To
Leverage the changes AI is bringing to the workplace to start your own career in AI
Analyze yourself to establish your interests and passions
Utilize resource 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 your present yourself on LinkedIn and in your resume
Find opportunities and get ready for interviewing
Who Should Take This Course
Anyone who Is interested in starting or switching to a career in the field of artificial intelligence
Course Requirements
No specific requirements
Lesson Descriptions
Lesson 1 Press Start – AI and Your Career
The first lesson explores how AI is reshaping various industries and the exciting career opportunities it presents.
Lesson 2 Defining AI – What Is and Isn’t AI
This lesson clarifies common misconceptions about what AI is, helping you distinguish between true AI and other technologies.
In Lesson 3 Navigating the World of AI – AI Disciplines and Applications
Lesson 3 covers the diverse landscape of AI, from machine learning to generative AI and everything in between.
Lesson 4 Getting Started – Discovering Your AI Interests
Lesson 4 is one of the most important lessons. Discovering your AI interests is foundational to identifying which areas of AI align with your passions and strengths.
Lesson 5 Learn from the Best – Analyzing Your Favorite AI Products
Lesson 5 reverse-engineers successful AI products to understand their underlying disciplines and technology.
Lesson 6 Resource Types – Exploring Diverse Resources
Lesson 6 provides advice on a number of types of resources including product, technical, ethical, policy, futurism resources. It also addresses how to find other resources particularly relevant to you.
Lesson 7 Self-Paced Learning – Meetups, Newsletters, and Podcasts
Lesson 7 highlights the types of resources that you can tap into at any time to continue your AI education.
Lesson 8 Class Is in Session – Classes, Conferences, and Going Back to School
Lesson 8 answers the common question, “Do I need to go back to school.” A variety of education options are covered to help find what is right for you.
Lesson 9 Bridging the Gaps – Skill Mapping and Continuous Learning
Lesson 9 helps identify and address any gaps in your AI skillset using some relevant examples.
Lesson 10 The Road Ahead – Setting Milestones
Lesson 10 leads you through creating a personalized roadmap for your AI career journey. This will help you set realistic goals and establish accountability.
Lesson 11 Looking Good on Paper – Updating your LinkedIn and Resume
Lesson 11 focuses on how to effectively showcase your AI skills and projects to potential employers.
Lesson 12 Showtime – Identifying Opportunities and Preparing for Interviews
This final lesson prepares you to find and seize AI career opportunities.
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