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Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or data science is typically required, along with relevant professional experience for technical professionals, developers, or managers. GRE is not required; a strong quantitative background and programming skills are preferred.
About This Program
This professional certificate program provides a practical foundation in implementing machine learning algorithms using Python and the NumPy library.
Career Outcomes
Gain machine learning skills to advance as Data Scientist in Cross-Industry AI
- 1. Machine Learning Engineer
- 2. AI Developer
- 3. Data Scientist
- 4. AI Product Manager
What You'll Learn
- Build foundational intuition for large language models (LLMs) and effective prompt engineering techniques.
- Design and implement AI agents with tools, memory, and autonomous reasoning capabilities.
- Apply retrieval-augmented generation (RAG) to integrate external data into ML models.
- Develop strategies for AI governance, ethics, and organizational deployment.
Curriculum Highlights
The program consists of sequential courses covering problem-solving with machine learning, linear classifiers, model selection, and advanced generative models.
Top Employers
Top employers include tech leaders like Google, Amazon, Microsoft, and Meta, as well as AI-focused firms and consulting companies.
Admissions
A bachelor's degree in a related field such as computer science, engineering, or data science is typically required, along with relevant professional experience for technical professionals, developers, or managers. GRE is not required; a strong quantitative background and programming skills are preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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