Complete My Python Micro-Credential
Budget: $30 – $250 AUD
I’ve enrolled in a short “agentic coding” micro-credential that is taught entirely in Python. The only focus area is agentic coding and each lesson finishes with a hands-on project that must be coded, submitted, and graded through the platform before the certificate is awarded.
Your task is to take the course to 100 % completion on my behalf. That means working through every unit, writing clean, well-commented Python, submitting the required notebooks or scripts, passing the embedded quizzes, and making sure the certificate becomes available in my dashboard.
I will provide you with platform access as soon as we agree. Please follow whatever library stack the course recommends; when it is flexible, feel free to rely on staples such as pandas, NumPy, and scikit-learn.
Deliverables
• Course dashboard showing full progress and downloadable certificate
• A copy of each completed project notebook/script plus any supporting dataset in a neat folder structure
• A short README per project outlining setup steps and model results
Acceptance is straightforward: the certificate must be unlocked and every project should run without errors in a fresh Python 3.10 environment. Share a link to a previous notebook —whether it covers classification, regression, or clustering—to demonstrate you can breeze through the material. A quick turnaround (about 2 weeks) is ideal, but I’m open to discuss exact timing once you’ve reviewed the scope.
Your task is to take the course to 100 % completion on my behalf. That means working through every unit, writing clean, well-commented Python, submitting the required notebooks or scripts, passing the embedded quizzes, and making sure the certificate becomes available in my dashboard.
I will provide you with platform access as soon as we agree. Please follow whatever library stack the course recommends; when it is flexible, feel free to rely on staples such as pandas, NumPy, and scikit-learn.
Deliverables
• Course dashboard showing full progress and downloadable certificate
• A copy of each completed project notebook/script plus any supporting dataset in a neat folder structure
• A short README per project outlining setup steps and model results
Acceptance is straightforward: the certificate must be unlocked and every project should run without errors in a fresh Python 3.10 environment. Share a link to a previous notebook —whether it covers classification, regression, or clustering—to demonstrate you can breeze through the material. A quick turnaround (about 2 weeks) is ideal, but I’m open to discuss exact timing once you’ve reviewed the scope.
Related categories:
Python
Linux
Software Architecture
Machine Learning (ML)
Data Science
NumPy
Data Analysis
Pandas