MIT University launched free Ai online courses. No payment is...
Girl In AI@girlinAI
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Jun 06, 2026
~2 min read
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MIT University launched free Ai online courses.
No payment is required.
Below are 10 courses you don't want to miss in 2026:
No payment is required.
Below are 10 courses you don't want to miss in 2026:
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1. Introduction to Computer Science and Programming Using Python.
Topics:
• A Notion of computation
• Python programming language
• Some simple algorithms
• Informal introduction to algorithmic complexity
• Data Structures and more
🔗 edx.org/learn/computer…
Topics:
• A Notion of computation
• Python programming language
• Some simple algorithms
• Informal introduction to algorithmic complexity
• Data Structures and more
🔗 edx.org/learn/computer…
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2. Machine Learning with Python
Topics:
• ML problem principles
• Implement & analyze models
• Choosing suitable models for different apps
• ML project implementation: Training, validation, tuning, and feature engineering
🔗 edx.org/learn/machine-…
Topics:
• ML problem principles
• Implement & analyze models
• Choosing suitable models for different apps
• ML project implementation: Training, validation, tuning, and feature engineering
🔗 edx.org/learn/machine-…
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3. Supply Chain Analytics
Topics:
• Basic analytical methods
• How to apply basic probability models
• Statistics in supply chains
• Formulating and solving optimization models
🔗 edx.org/learn/supply-c…
Topics:
• Basic analytical methods
• How to apply basic probability models
• Statistics in supply chains
• Formulating and solving optimization models
🔗 edx.org/learn/supply-c…
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4. Understanding the World Through Data.
Topics:
• Python programming and the Colab notebook programming environment
• Dependent and independent variables
• Relationships between data using linear and polynomial regression models
And more
🔗 edx.org/learn/data-sci…
Topics:
• Python programming and the Colab notebook programming environment
• Dependent and independent variables
• Relationships between data using linear and polynomial regression models
And more
🔗 edx.org/learn/data-sci…
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5. Becoming an Entrepreneur
Topics:
• Overcoming the top myths of entrepreneurship
• Defining your goals as an entrepreneur and startup
• Identifying business opportunities
• Performing market research and choosing your target customer
🔗 edx.org/learn/entrepre…
Topics:
• Overcoming the top myths of entrepreneurship
• Defining your goals as an entrepreneur and startup
• Identifying business opportunities
• Performing market research and choosing your target customer
🔗 edx.org/learn/entrepre…
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6. Computational Thinking for Modeling and Simulation
Topics:
• Interpolation methods and their impact on model convergence
• Numerical integration techniques
• Procedures for numerical differentiation
• Solving linear and nonlinear equations
🔗 edx.org/course/entrepr…
Topics:
• Interpolation methods and their impact on model convergence
• Numerical integration techniques
• Procedures for numerical differentiation
• Solving linear and nonlinear equations
🔗 edx.org/course/entrepr…
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7. Foundations of Modern Finance
Topics:
• Valuation of fixed income securities and common stocks
• Risk analysis, APT, Efficient Market Hypothesis
• Introduction to corporate finance and capital budgeting and more
🔗 edx.org/learn/finance/…
Topics:
• Valuation of fixed income securities and common stocks
• Risk analysis, APT, Efficient Market Hypothesis
• Introduction to corporate finance and capital budgeting and more
🔗 edx.org/learn/finance/…
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8. The Secret of Life
Topics:
• How to describe the building blocks of life and how their interactions dictate structure and function in biology
• How to predict genotypes and phenotypes given genetics data and more
🔗 edx.org/learn/biology/…
Topics:
• How to describe the building blocks of life and how their interactions dictate structure and function in biology
• How to predict genotypes and phenotypes given genetics data and more
🔗 edx.org/learn/biology/…
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10. The Science of Uncertainty and Data
Topics:
• The basic structure and elements of probabilistic models
• Random variables, their distributions, means, and variances
• Probabilistic calculations
• Inference methods and more
🔗 edx.org/learn/probabil…
Topics:
• The basic structure and elements of probabilistic models
• Random variables, their distributions, means, and variances
• Probabilistic calculations
• Inference methods and more
🔗 edx.org/learn/probabil…
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The internet really rewards curiosity. MIT-level education is one click away, yet most people still think learning stopped after college.
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One underrated fact: we're living in a time where anyone with Wi-Fi can learn skills that used to require elite classrooms.
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→ mindmyjob.com → Shows jobs from across the internet in 1 place
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