AI Course Review
100 Days of Code™: The Complete Python Pro Bootcamp
8.9
AI Course Score
- Instructor
- Dr. Angela Yu, Developer and Lead Instructor
- Udemy rating
- 4.7 / 5
- Reviews
- 438,804
- Duration
- 102 sections, 604 lectures, 56h 48m total
- Level
- Beginner
- Last updated
- 10/2026
Strengths
- Very broad, well-structured curriculum: 102 sections and 604 lectures (about 57 hours) organized as a day-by-day progression, with each day ending in a concrete project (band name generator, tip calculator, Treasure Island, Rock Paper Scissors, password generator).
- Strong beginner scaffolding in the visible days: short lectures, goals stated at the start of each day, quizzes, coding exercises (BMI calculator, FizzBuzz, pizza order), and an explicit setup lecture for PyCharm.
- Very wide scope listed in the description: Python fundamentals, automation, web scraping (Beautiful Soup, Selenium), Flask, SQL/SQLite/PostgreSQL, Pandas/NumPy/Matplotlib/Plotly/Scikit-learn, Tkinter, HTML/CSS/Bootstrap, Git/GitHub, and deployment, with about 100 portfolio projects.
- Excellent social proof: a 4.7 rating from roughly 438,000 reviews, which is a strong signal of broad learner satisfaction.
- Appears recently maintained: lastUpdated is 10/2026, and the description mentions Python 3, Plotly, and Google Colab.
- Project-driven, practice-heavy format (code challenges, quizzes, and projects every day) suits building habits and retention.
Weaknesses
- Breadth over depth: covering web, data science, GUI, automation, and games in one course means advanced topics (ML with Scikit-learn, databases, authentication, deployment) are probably introductory. The provided curriculum only shows Days 1-5, so I can't verify depth in later sections.
- Some description content looks dated or inconsistent with the 'latest' claim, such as Bootstrap 4 and Heroku deployment. This may be stale or only partly refreshed. The description also says 65+ hours while the curriculum lists 56h 48m.
- Marketing language is heavy ('the only course you need', 'beginner to professional', '$12,000 value'). A beginner-to-job-ready outcome in 100 hours is optimistic, and a portfolio of 100 small projects won't replace deeper engineering experience.
- Prerequisites are only implicitly stated ('zero programming experience'). The description doesn't list hardware or software requirements beyond the PyCharm setup lecture.
- The visible early lectures are fairly basic and slow-paced for anyone with prior programming exposure, and the provided curriculum is truncated, so later sections can't be assessed.
Best for
Complete beginners who want a structured, project-based, daily-practice path through Python fundamentals and a survey of its major application areas (web, automation, data, GUI), and who want to find out which direction to specialize in.
Not recommended for
Experienced programmers or intermediate Python users who need deep, specialized coverage (advanced data science/ML, production-grade web backends, system design), or learners who want a short, focused course on a single topic.