Online Course – Certified Professional Practice in Interviewing for DS/AI Positions from the University of California, Irvine

Find and land your next job in Data Science/AI. Master strategies to navigate the job market, craft an exceptional application, and succeed during the interview process.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • negotiation
  • Career planning
  • Job selection
  • Technical interviews
  • Interviews

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Artificial Intelligence Engineer
  • Data Analyst
  • Algorithm developer
  • Machine Learning Expert
  • Information Systems Analyst
  • Data Project Manager
  • Big Data Analytics Specialist
  • Artificial Intelligence Software Developer
  • Technology consultant in the field of data science

Internship – a series of courses in the knowledge

Data science and artificial intelligence are exciting fields to enter, but along with the increased growth, a somewhat unexpected consequence has emerged: high competition in the job market. This specialization focuses not only on how to choose the right data science or artificial intelligence job that matches your skills, but also on how to prepare for and ace a job interview.

Overview of current challenges

We’ll start with an overview of the current challenges in getting into the field, as well as the differences between some data science and artificial intelligence roles that tend to get confused.

Job search strategies

Next, we will begin preparing for job applications by detailing job search strategies, skills to brush up on, and how to design a resume and portfolio for jobs in the field.

The interview process

Finally, we’ll go into detail about the interview process, including tips and tricks for interview success. We’ll also talk about what to do after a successful interview, including how to negotiate salary and how to prepare for the next steps in your career.

At the end of the internship, students will be able to:

  • Distinguish between the leading roles in data science and artificial intelligence and how they are described in the job market.
  • Identify which skills are worth brushing up on before applications and interviews.
  • Make their resume and portfolio stand out by implementing industry-specific tips.
  • Understand how to market themselves and what benefits career fairs, connecting with recruiters, and professional networking have.
  • Discuss a technical interview preparation plan and best practices for interviews.
  • Mention best practices when accepting or rejecting a job offer.
  • Create a career development plan.

Practical Learning Project:

Students will create a detailed career development plan by applying key concepts from the specialization, such as:

  • What skills to develop in preparation for technical interviews.
  • How to create short and long term goals.
  • And how to navigate the job search, application, and interview process.

Details of the courses that make up the specialization

Identifying the right role for you

Course 1

  • 9 hours

Course Details

What you will learn:
  • Identify the skills, education, and experience required for various DS/AI roles.
  • Describe a DS/AI role that fits your personal goals and area of ​​interest.
  • Assess what additional training is needed to enter a specific role in DS/AI.
Skills you will develop:
  • Category: Machine Learning Roles
  • Machine Learning Roles
  • Category: AI roles
  • Roles in AI
  • Category: Data Science Roles
  • Data Science Roles

Finding the right job preparation

Course 2

  • 10 hours

Course Details

What you will learn:
  • Identify which skills need to be refreshed in preparation for DS/AI applications and interviews.
  • Create a standout portfolio and resume with industry-specific tips.
  • Understand how to market yourself and how job fairs, connecting with recruiters, and networking can help.
Skills you will develop:
  • Category: Portfolio
  • Portfolio
  • Category: Self-Marketing
  • Self-marketing
  • Category: Skills Practice
  • Skills practice
  • Category: Job Search
  • Job search
  • Category: Resume
  • resume

Interviews, job offer negotiations and career planning

Course 3

  • 13 hours

Course Details

What you will learn:
  • Discuss a preparation plan for technical interviews.
  • Remember what actions to take before, during and after an interview.
  • Identify the best ways to accept or reject job offers and create a career development plan.
Skills you will develop:
  • Category: Negotiation
  • Negotiation
  • Category: Career Development
  • Career development
  • Category: Technical Interviews
  • Technical interviews
  • Category: Interviews
  • Interviews