Overview

This advanced course is designed for professionals who already have a solid foundation in data science and want to move toward senior, lead, or specialist roles. You will deepen your expertise in machine learning, statistics, and AI systems, while developing advanced skills in research, teaching, project leadership, and strategic decision-making. The course emphasizes real-world applications, modern AI workflows, and production-ready solutions.

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argenticare

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Advanced Data Science and AI

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Enrollments

Level

Expert

Time to Complete:

100 hours 0 minute

Lessons:

0

Certificate:

Yes

Free

Overview

This advanced course is designed for professionals who already have a solid foundation in data science and want to move toward senior, lead, or specialist roles. You will deepen your expertise in machine learning, statistics, and AI systems, while developing advanced skills in research, teaching, project leadership, and strategic decision-making. The course emphasizes real-world applications, modern AI workflows, and production-ready solutions.

What You’ll Learn?

Design, train, evaluate, and deploy advanced machine learning and deep learning models
Apply inferential and Bayesian statistics to real-world data problems
Build scalable data and AI systems using modern frameworks and cloud infrastructure
Implement MLOps practices for reproducible and maintainable ML solutions
Analyze and apply advanced AI architectures, including transformers and agentic systems
Lead data science projects with strong project, people, and risk management skills
Communicate complex technical work through professional documentation and presentations
Conduct applied research and benchmark ML/DL solutions against the state of the art

Requirements

Prior knowledge of Python and basic data analysis
Familiarity with fundamental statistics and machine learning concepts
A computer capable of running Python-based data science tools
Willingness to work on a substantial end-to-end capstone project

Instructor(s)

Syllabus Overview

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Lessons

0

Quizzes

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Tasks

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Resources

Learning Strategies: Teaching and Curriculum Design

Career Strategy and Professional Growth

Professional English: Advanced Communication

Advanced Project and People Management

Research Methods and Scientific Practice

Machine Learning Model Training and MLOps

Advanced AI Topics and Emerging Trends

Inferential and Bayesian Statistics

Servers, Cloud, and Advanced Databases

Dashboards and Data-Driven Decision Making

Advanced Programming and Software Architecture

Capstone Project: End-to-End ML/DL Solution

Material Includes

Curated video lessons and guided learning paths
Hands-on exercises and applied tasks
Guided notebooks and code examples
Capstone project guidelines and evaluation criteria
Templates for documentation, project planning, and presentations

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