SOFT SKILLS IN THE DIGITAL AGE
COURSE OVERVIEW
This course aims to equip students with essential soft skills, Generative AI knowledge, and job preparation tools to thrive in the modern workforce. The course ensures students are ready to secure job opportunities or pursue self-employment upon completion. By Week 8, students must decide between continuing the job application route or starting a self-employment venture.
Our goal is that each student either secures a job or starts earning through self-employment within one month of completing the course.
Course Structure
Each session is 2.5 hours, including lectures, practical exercises, role-plays, and project work.
Program Eligibility
A good working laptop (8 GB RAM or above, 500GB HDD or 256 SSD)
A stable internet connection
A serene environment for virtual sessions
Ability to pursue the program on a full-time basis
Prior expression of leadership potential
Communicate professionally in digital environments using email, virtual meetings,
and presentations.
Our Admission Process
Step 1 - Apply
Submit your application. Share a bit about yourself and what’s driving you to start a career in data science.
Step 2 - Admission Assessment
Highlight both hard skills (e.g., software proficiency) and soft skills (e.g., communication) that are relevant to the job you’re applying for.
Step 3 - Admissions Interview
Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical – just a friendly conversation.
Step 4 - Admissions Decision
Receive your acceptance decision from Admissions. This usually happens within 3 business days.
Step 5 -Pre-work
If accepted, you’ll begin course pre-work to prepare for the first day of class. Our courses pre-work consists of 20-40 hours of lessons.
Our Three Pillars
Blended Peer Learning
You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.
Mentor-Based Learning
A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn.
Projects-Based Learning
Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals.
Job Opportunities
Job opportunities you can apply for at the end of the training includes:
Remote Team Manager
Customer Service Representative (Virtual)
Human Resources (HR) Specialist for Remote Teams
Content Creator or Social Media Manager
Online Coach or Mentor
Project Manager (Digital Projects)
Virtual Assistant
Sales Consultant (Digital Tools & Services)
Conflict Resolution Specialist