AI Machine Learning

Class Format:
Online
Tuition/Cost

The 26-Week Machine Learning & AI Certificate Program offers an intensive, career-focused pathway for aspiring AI engineers, data scientists, and machine learning professionals, blending foundational theory with hands-on industry projects. Designed for those eager to enter or advance in the fast-growing AI field, the program covers essential topics such as Python programming, machine learning algorithms, deep learning, neural networks, computer vision, natural language processing, generative AI, MLOps, and AI ethics. Students build a robust portfolio through six or more applied projects and a final capstone based on a real business challenge, ensuring graduates are job-ready with practical experience and in-demand skills.

The Machine Learning & AI Certificate Program is an intensive, career-focused training that equips learners for real-world roles in AI engineering, data science, model deployment, and AI automation. This program blends foundational theory with hands-on industry projects, covering:

  • Python programming
  • Machine learning algorithms
  • Deep learning & neural networks
  • Computer vision
  • Natural language processing
  • Generative AI & large language models (LLMs)
  • MLOps, deployment, and cloud integration
  • AI ethics, governance, & prompt engineering
  • Full end-to-end AI project development

Students complete a portfolio of 6+ projects and a final capstone tailored to a real-world business use case, ensuring job-ready skills and practical experience.

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 pursue roles such as:

• Machine Learning Engineer (Junior/Mid)
• AI Engineer
• Data Scientist
• AI Automation Engineer
• NLP Engineer
• Computer Vision Specialist
• Applied ML Research Assistant
• MLOps Engineer (entry-level)
• AI Product Analyst
• AI Model Trainer & Evaluator
• Data Analyst (ML-focused)

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 Programming for AI
Unit 2: Statistics, Math & ML Foundations
Unit 3: Advanced ML Algorithms & Feature Engineering
Unit 4: Deep Learning & Neural Networks
Unit 5: NLP, Transformers & Generative AI
Unit 6: Reinforcement Learning
Unit 7: MLOps, Deployment & Cloud
Unit 8: Final Capstone & Career 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.

Junior ML Engineer: $60K–$110K
AI Engineer: $75K–$140K
Data Scientist: $70K–$130K
NLP Specialist: $90K–$150K
MLOps Engineer: $85K–$150K

Financial Aid Resources with Earlston

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