Python for Artificial Intelligence
Designed for aspiring professionals aiming to build strong foundations in AI programming, integrates Python basics, data handling, and visualization with essential libraries and tools to equip participants with practical coding skills for real-world artificial intelligence applications.
4 (4)
Language
English
Why Bakkah?
Money Guaranteed
Global Accreditation
Flexible Learning
About this Course
What to Expect From This Python for Artificial Intelligence Course?
By the end, participants will be able to:
- Understand Python fundamentals, including variables, loops, and functions.
- Work effectively with different data types and structures.
- Utilize key libraries such as NumPy and Pandas for data handling.
- Perform data cleaning and manipulation tasks.
- Create basic data visualizations using Matplotlib.
- Navigate the Linux command line and use essential programming tools.
Who Should Enroll in this Python for Artificial Intelligence Course?
- Beginners and professionals seeking to start coding with Python for AI.
- Data enthusiasts aiming to process and analyze datasets effectively.
- Developers and engineers looking to integrate Python into AI workflows.
- Students and researchers exploring data science and artificial intelligence.
- Anyone interested in building strong foundations in AI programming.
What are the acquired skills from this Python for Artificial Intelligence Course?
- Writing and structuring Python code effectively.
- Handling variables, loops, and functions with confidence.
- Managing and transforming data with NumPy and Pandas.
- Cleaning and preparing datasets for analysis.
- Visualizing information with Matplotlib.
- Navigating Linux command line and essential programming tools.
Learn your way, at your pace.
Get the skills you need with a flexible learning experience designed to fit your lifestyle.
Python for Artificial Intelligence - Self Study
Best for busy learners who need flexibility.
Course Inclusions
- Python overview for AI
- Setting up Python environments
- Python syntax and structure
- Variables and data types
- Operators and expressions
- Conditional statements
- For and while loops
- Functions and return values
- Input and output
- Writing simple Python programs
- Coding best practices
- Basic Python data types
- Mutable vs immutable types
- String operations
- Lists and list methods
- Tuples
- Dictionaries
- Sets
- Nested data structures
- Looping through structures
- Using data structures in AI datasets
- Introduction to Python libraries
- NumPy arrays and operations
- Aggregation and matrix operations
- Pandas DataFrames
- Loading data from files
- Selecting and filtering data
- Descriptive statistics
- Handling missing and duplicate data
- Preparing data for AI
- Identifying data issues
- Handling missing values
- Removing duplicates
- Data type conversion
- Filtering and selecting data
- Creating new columns
- Normalizing and scaling
- Merging and reshaping data
- Validating cleaned datasets
- Data visualization concepts
- Using Matplotlib
- Line, bar, histogram, and scatter plots
- Adding titles, labels, and legends
- Plot customization
- Multiple plots and subplots
- Detecting trends and outliers
- Visualizing Pandas data
- Linux environment for AI
- File and folder management
- Running Python from the terminal
- Installing libraries with pip
- Virtual environments
- Output redirection and piping
- Bash scripting basics
- Git and JupyterLab
- AI project setup on Linux
Our Happy Clients Say
I have a busy job...
With a demanding job, I thought exam prep was impossible. But self-study learning fit into my life perfectly—I studied anytime, anywhere. It was clear, well-structured, and I passed the exam on my first try.
I needed real interaction...
I was looking for a learning experience where I could truly engage with. Live sessions gave me clarity, motivation, and real-time support. The trainer and group sessions kept me focused and made tough topics easier to digest
Staying on track was...
Starting was easy—but staying consistent wasn’t. The live schedule and trainer check-ins gave just the push I needed. I stayed on track and actually finished the course and got certified!
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