A B C of Coding to Build AI Agents
BeginnerLevel
4 Hrs Duration
About this Course
- This hands-on course teaches Python basics, including variables, loops, functions, and libraries like NumPy, Matplotlib, and Pandas—ideal for beginners in AI.
- Learn to visualize and manipulate data effectively using popular Python libraries and gain practical skills to prepare, clean, and analyze datasets with ease.
- Get started with APIs by understanding how to access and integrate them into Python code—build real-world AI solutions with industry-relevant best practices.
Learning Outcomes
Python Programming Basics
Grasp core Python concepts like variables, loops, and functions.
Coding for AI Agents
Learn core Python skills to build and power AI agents efficiently.
API Integration Skills
Learn to access and use APIs to build simple AI solutions.
Course Curriculum
Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.
1. Course Introduction
2. Overview of Python
3. Variables and Data Types + Code
4. Understanding Conditional Statements + Code
1. Understanding Looping Constructs + Code
2. Functions in Python + Code
3. Modules and Packages in Python
4. Hands-on - Python Best Practices
1. Numpy Basics
2. Hands-on: The Basics of NumPy
3. Arithmetic Universal Functions in NumPy
1. The Basics of Matplotlib: Types of Plots
2. The Basics of Matplotlib: Customizing Plots
3. The Basics of Pandas: Understanding the Dataset
4. Handling Missing Values and Modifying the Dataset
1. Working with APIs
2. Accessing APIs using Python
3. API Best Practices
Meet the instructor
Our instructor and mentors carry years of experience in data industry
Get this Course Now
With this course you’ll get
- 4 Hours
Duration
- Prashant Sahu
Instructor
- Beginner
Level
Certificate of completion
Earn a professional certificate upon course completion
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility
Frequently Asked Questions
Looking for answers to other questions?
This course is designed for beginners who want to build a solid foundation in AI programming, as well as professionals looking to expand their knowledge of AI technologies and coding essentials.
The course focuses on core programming concepts that are essential for working with AI, primarily using Python, which is widely used in AI and machine learning applications.
LangGraph uses graph-based architectures for scalable workflows and dynamic decision-making, ideal for complex tasks. Autogen focuses on multi-agent orchestration but requires more programming, while CrewAI simplifies team-based agent tasks but lacks advanced workflow optimization.
No prior experience is required. This course starts with the basics, making it suitable for those new to coding as well as those with some experience looking to learn about AI programming.
Yes, the course provides a certification upon completion.
While this course provides a strong coding foundation for working with AI, it focuses more on understanding AI concepts like prompt engineering, APIs, and frameworks, rather than building complex AI models from scratch.
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