AI Data Science

Class Format:
Online
Tuition/Cost

The AI Data Science Program is an intensive 26-week training designed for aspiring Data Scientists who want to gain practical, job-ready skills in analytics, technology, and artificial intelligence. Students benefit from hands-on experience by completing over seven real-world projects, including a capstone project that can be showcased in job applications, making this program an ideal choice for those seeking a fast track to a career in data science.

Participants learn how to integrate AI and machine learning techniques with data analysis to uncover patterns, optimize processes, and solve complex business problems. The program covers AI-powered data preprocessing, predictive modeling, natural language processing, and data visualization, emphasizing both technical skills and practical application. Hands-on projects allow learners to work with real-world datasets, build AI models, and interpret results to deliver actionable insights. By the end of the program, participants will be equipped to apply AI-driven data science techniques confidently—turning raw data into meaningful solutions, supporting strategic decisions, and advancing their careers in AI and analytics-driven fields.

This Course Includes:
Language:
Multiple
Course Duration:
26 Weeks
Available on the app:
Yes
Internship Available:
Yes
Certificate Upon Completion

Career Paths After Completing This Course

  • Graduates can work as Data Scientists (Junior/Mid), AI Data Analysts, Machine Learning Engineers (entry-level), Business Intelligence Analysts, AI Engineers (applied), Junior Data Engineers (SQL + PySpark), NLP Specialists (entry-level), AI Automation Developers, MLOps Assistants, or Research Assistants in AI labs
  • Strong demand as companies seek professionals who can build AI models, automate processes, and extract actionable insights from complex data
  • Opportunities across tech, finance, healthcare, research labs, SaaS, and AI-driven enterprises
  • Professionals with skills in AI, machine learning, NLP, MLOps, and cloud-based data pipelines gain a competitive edge
Student Life Coaching Support
Scholarship Support with Earlston

Step by Step Curriculum

Below is the step-by-step curriculum for the course, designed to guide you from foundational concepts to advanced skills, ensuring a clear and structured learning path. Each unit builds on the previous one, helping you gain practical knowledge and prepare for real-world applications in your chosen field.
  • Unit 1: Python for Data Science
  • Unit 2: Statistics, Math & Data Foundations
  • Unit 3: SQL, Databases & Big Data
  • Unit 4: Machine Learning Foundations
  • Unit 5: Advanced ML & Feature Engineering
  • Unit 6: Deep Learning, Neural Networks & AI
  • Unit 7: NLP, Transformers & AI Automation
  • Unit 8: MLOps, Cloud & Capstone Development

Salary Expectations After Completing the Course

Earning potential after completing this course can vary widely depending on your certification level, geographic location, and professional experience.  This range provides a realistic overview of what graduates can expect as they launch or advance their careers.

Entry-Level / Junior Data Roles & Salaries:

  • Junior Data Scientist: $60K – $110K
  • AI Data Analyst: $55K – $90K
  • Machine Learning Engineer (Junior): $70K – $120K
  • BI Analyst: $55K – $95K
Financial Aid Resources with Earlston

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