Course Description

In today’s fast-paced world of artificial intelligence, mastering coding skills is essential for building and deploying AI solutions. Coding Essentials for AI is a hands-on course designed to introduce beginners and professionals to the essential programming concepts for working with AI technologies. You’ll gain practical knowledge of coding for Generative AI, prompt engineering, and AI model development. This course covers the basics of programming, using APIs, and working with AI frameworks, equipping you with the foundational skills needed to develop and integrate AI tools into real-world applications. Whether you're new to AI or looking to enhance your technical expertise, this course provides the coding knowledge necessary to thrive in the growing field of AI.

Course curriculum

  • 1
    Introduction to Python
    • Introduction to the Course
    • Course Handouts (updated on 2024-12-05)
    • Overview of Python
    • Quiz
    • Variables and Data Types
    • Quiz
    • Understanding Conditional Statements
    • Quiz
    • Implementing Conditional Statements
    • Understanding Looping Constructs
    • Looping Constructs
    • Functions in Python
    • Functions in Python - Part 2
    • Quiz
    • Modules and Packages in Python
    • Quiz
    • Hands on: Python Best Practices
  • 2
    Working with Files and Databases
    • The Basics of NumPy
    • Hands-on: The Basics of NumPy
    • Arithmetic Universal Functions in NumPy
    • The Basics of Matplotlib: Types of Plots
    • The Basics of Matplotlib: Customizing Plots
    • The Basics of Pandas: Understanding the Dataset
    • Handling Missing Values and Modifying the Dataset
    • Quiz
    • Introduction to DataBase and SQL Fundamentals
    • Quiz
    • Connecting Python to SQL databases
    • Quiz
    • Working with Files and Databases in Python
    • Quiz
    • Hands-on: SQLite Database
  • 3
    Working with APIs
    • Working with APIs
    • Quiz
    • Accessing APIs using Python
    • Quiz
    • API Best Practices
    • How to build an API with Flask & FastAPI
    • Module Project Hands-on
  • 4
    Working with LLMs
    • Solving real-world tasks using ChatGPT and Google Gemini APIs
    • Working with Open Source LLMs using HuggingFace Serverless APIs
    • Working with Open Source LLMs using HuggingFace models locally
    • AI Agent Tools Landscape
    • Project: Flask Project Document

Who Should Enroll?

  • Aspiring AI Developers – Gain essential coding skills to create and deploy AI models and applications.

  • Tech Enthusiasts & Beginners – Learn coding for AI from scratch and unlock the potential of Generative AI technologies.

  • Professionals Upskilling in AI – Boost your career with AI programming expertise and improve your ability to work with AI tools and machine learning models.

Key Takeaways

  • Build a solid foundation in coding for AI technologies.

  • Gain hands-on experience with AI models and prompting techniques.

  • Master the basics of integrating AI frameworks and APIs into projects.

About the Instructor

Prashant Sahu - Data Science Manager || Certified Generative AI Specialist || Experienced AI Leader & Coach for ML, DL, and NLP || PhD @ IIT-Bombay

Prashant Sahu is the Data Science Manager at Analytics Vidhya, with extensive expertise in AI, ML, and advanced analytics. He has led high-impact B2B pre-sales initiatives and developed comprehensive training programs for top clients, including HSBC, JP Morgan Chase, and Reliance Industries. Prashant’s technical expertise spans the Python ecosystem, deep learning, Generative AI, NLP, and model deployment. He has also created innovative solutions like the "Mentorship Web App" and the "Article Recommendation System." In his current role, he manages data science projects, evaluates training programs, and oversees content quality for flagship programs like BlackBelt and Pinnacle GenAI.
About the Instructor

FAQs

  • Q. Who is this course for?

    A. 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.

  • Q. What programming languages will be covered in this course?

    A. 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.

  • Q. Do I need any prior experience with coding or AI?

    A. 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.

  • Q. Will I learn how to build AI models in this course?

    A. 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.

  • Q. How will this course help me in my career?

    A. By mastering essential coding skills for AI, you'll gain the ability to work with AI tools and frameworks, which are in high demand across industries. This course will help you build the skills needed to start developing and integrating AI solutions into real-world projects.