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Python for Artificial Intelligence

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Want to begin your coding journey with Python? Then this Python for AI certification course is for you. Learn with hands-on course and real-world examples, no fluff, just coding, logic, and results.

  • 6 hours live, instructer-led training
  • No prior AI experience is needed, just Python basics
  • Real-world AI examples under experts guidance
  • Covers NumPy, Pandas, Scikit-learn, and more
  • Learn to train models, work with datasets and automate tasks
  • Perfect stepping stone into machine learning and data science
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    Course Overview

    Python is one of the most beginner-friendly programming languages and one of the most in-demand. Our Python for AI course is the ideal starting point for anyone looking to break into tech, data science, or automation. No prior experience? No worries. You’ll write code from day one.

    This course helps you grasp the core concepts of Python using real-life examples and hands-on exercises. You will work with variables, conditionals, loops, functions, file operations and error handling. By the end of the course, you will not only understand Python basics but also feel confident writing small programs, debugging errors and thinking like a coder. Whether you’re switching careers, preparing for a tech role or just curious this course sets a solid foundation.

    Key Highlights

    Set up your Python AI environment like a pro

    Work with NumPy, Pandas, Matplotlib, and Scikit-learn

    Clean and prepare real datasets for machine learning

    Train basic AI models and evaluate them effectively

    Build small AI apps like chatbots, classifiers, and predictors

    Python for Artificial Intelligence Course Content

    Download Syllabus
    Module 1 Intro to Python

    Learning Objective:

    • Understanding coding console
    • Data Structures
    • Control Structures
    • Graded Questions

    Expected Outcome:

    • Build a foundation for the most in-demand programming language of the 21st century.

    Use Cases/Projects:

    • Mini-projects: Solve coding challenges that reinforce fundamental programming concepts (e.g., building a simple calculator, creating a basic game).

    Assessment Method:

    • Coding assignments and quizzes: Assess understanding of syntax, data types, control flow, and functions.
    • Code review: Evaluate code quality, style, and adherence to best practices.
    Module 2 Python for DS

    Learning Objective:

    • Intro to NumPy
    • Operations on NumPy arrays
    • Intro to Pandas
    • Getting and cleaning data
    • Graded Questions

    Expected Outcome:

    • Learn how to manipulate datasets in Python using Pandas which is the most powerful library for data preparation and analysis.

    Use Cases/Projects:

    • Project: Perform data cleaning and manipulation on a real-world dataset using Pandas (e.g., handling missing values, formatting data, creating new features).

    Assessment Method:

    • “Data wrangling assignments: Test the ability to clean, transform, and prepare data for analysis. Jupyter Notebook submissions: Evaluate code, documentation, and insights derived from the data.”

    Schedules for Python for Artificial Intelligence

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      Python for Artificial Intelligence Exam Details

      Exam Details
      • There is no final exam for this course
      • Learners will receive a Python for AI Course Completion Certificate
      Prerequisites

      There are no formal prerequisites.

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      Python for Artificial Intelligence is ideal for

      • Freshers looking to enter software or data careers
      • Business Analysts diving into scripting
      • QA Engineers transitioning into automation roles
      • Non-IT professionals exploring tech careers
      • DevOps professionals expanding their skill set
      • Students and hobbyists with no programming background
      Enquire Now

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      Benefits That Set You Apart

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      Steps to Getting Certified

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      Journeys that keep Inspiring ✨ everyone at AglieFever

      This course helped me finally understand how Python is used in AI—super clear and hands-on!

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      Rajiv S

      Agilefever nailed it. I went from zero AI experience to building my own simple classifier in a week.

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      Ananya M

      Loved the project-based style! It made learning AI feel like solving real problems, not just reading theory.

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      John Will

      Frequently Asked Questions

      1. Is this course beginner-friendly?

      Yes! If you know basic Python, you’re good to go. No AI experience needed.

      2. Is it a self-paced or instructor-led course?

      This is a guided, expert-led course with real-time support.

      3. What tools will I need?

      You’ll need Python (latest version), Jupyter Notebook, and basic Python libraries. Setup instructions are included.

      4. Will I build real projects?

      Yes! You’ll work on small, practical AI projects, no pointless theory dumps.

      5. Is there any final test or assessment?

      No formal exam. You’ll complete project-based tasks to earn your certificate.

      6. What if I don’t have a DevOps background?

      While it helps, it’s not mandatory. You can still follow along if you understand basic deployment concepts.

      7. Will this help me switch to a data science career?

      Absolutely. It’s a great starting point for roles in AI, ML, and data.

      8. Can I add this to my LinkedIn profile or resume?

      Yes! It’s a hands-on skill-building course that hiring managers value.

      9. Do I get a certificate after completing the course?

      Yes. Complete the course and receive your Python for AI Certification from Agilefever.

      10. How long will the certificate be valid?

      Your certification doesn’t expire, it stays on your profile forever.

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