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IBM AI Developer Professional Certificate ; A Free Corse For Beginners

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Artificial Intelligence
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Courses
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Beginner
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ThimPress
Development Generative AI
$ 20.50

Introduction

The IBM AI Developer Professional Certificate helps you on your journey to become an artificial intelligence developer. Regardless of your level of programming experience, this course will provide you with the tools to develop innovative AI solutions. You will study AI principles, create chatbots with AI capabilities, and use generative AI for text, graphics, and other content over the course of six months. In this course, the participants will learn HTML, JavaScript, and Python programming to create useful AI apps. Upon successful completion, the participants will receive an IBM digital badge and certificate of completion. Take the first step toward becoming an AI developer right now.

What Will You Gain from This Course

Following the completion of this course, participants will:

  1. Recognize the basic ideas, terminologies, components, and uses of artificial intelligence, particularly generative AI.
  2. Discover how to create chatbots and applications using generative AI using a variety of AI tools and programming frameworks.
  3. Create and implement AI web apps with Flask and Python.

Skills Acquired:

  1. Voice Assistants
  2. Python Programming
  3. Software Engineering
  4. Agile and Scrum
  5. Software Development Lifecycle (SDLC)
  6. Full Stack Developer
  7. Artificial Intelligence (AI)
  8. ChatGPT
  9. Large Language Models (LLM)
  10. Natural Language Generation
  11. Generative AI
  12. Prompt Engineering
  13. Prompt Patterns
  14. Web Development
  15. JavaScript
  16. Cascading Style Sheets (CSS)
  17. AI Prompts
  18. Artificial Intelligence

Who Is This Course For

This course is designed for:

  1. Individuals who are new to engineering and software development.
  2. Individuals who wish to work in software development.
  3. Anyone who wants to learn about software architecture and the software development lifecycle (SDLC).
  4. Anyone interested in fundamentals and uses of artificial intelligence (AI).
  5. Experts who want to excel in their current software development or engineering positions.

Course Content

10 Sections – 41 Modules – 307 Videos – 150 Readings – 89 Quizzes – 113 Plug-ins – 43 App Items – 5 Discussion Prompts – 4 Peer Reviews – Certificate of Completion

Introduction to Software Engineering

An overview of software engineering is provided in the course. It will cover the basics of software development lifecycles, development tools, technologies, and tools that you should know. It will also look at different types of programming languages and teach students how to use Python and create basic programming constructs.

  1. 52 Videos
  2. 7 Reading
  3. 16 Quizzes
  4. 6 Plugin
  5. 3 App Item

Introduction to Artificial Intelligence (AI)

In this module, the students will learn about artificial intelligence (AI) and its core concepts. They will also learn about AI applications as well as their use cases in professional and personal cases. By the time this course ends, the participants will be able to recognize the impact and potential of AI to transform careers and businesses. The course will also look at the limitations, issues, and ethical concerns surrounding AI.

  1. 33 Videos
  2. 13 Readings
  3. 4 Quiz
  4. 1 Discussion Prompt
  5. 1 Peer Review
  6. 3 Plugins

Generative AI: Introduction and Applications

You will explore the foundations of generative artificial intelligence (AI) in this module, as well as how it differs from discriminative AI. You will learn about the possibilities of generative AI for creating text, pictures, code, audio, and video, as well as how it may be used to supplement data.

  1. 10 Videos
  2. 8 Readings
  3. 5 Assignments
  4. 3 App Item
  5. 2 Discussion Prompt
  6. 5 Plugins

Generative AI: Prompt Engineering Basics

In this course, students will learn about the relevance and concept of prompt engineering in generative AI models. They will learn how to apply best practices for creating prompts as well as explore examples of impactful prompts. The participants will also learn about the common prompt engineering techniques. They will also be introduced to commonly used tools for prompt engineering.

  1. 10 Videos
  2. 9 Readings
  3. 5 Assignments
  4. 9 App Items
  5. 1 Discussion Prompt
  6. 3 Plugins

Introduction to HTML, CSS, & JavaScript

This course will focus on describing the web application development ecosystem and terminology. The students will learn about front-end development, back-end development, full-stack development, and server-side development. The participants will also learn about identifying developer tools, integrated development environments, and more. They will also create and structure basic web pages with HTML and style them with CSS. The participants will also develop dynamic web pages using JavaScript.

  1. 20 Videos
  2. 6 Readings
  3. 6 Quizzes
  4. 6 App Item
  5. 16 Plugins

Python for Data Science, AI & Development

The first part of this module covers the fundamentals of Python by exploring several data types, such as strings, floats, and integers. As you go through the module, you'll discover how to store data in variables, manipulate strings in various ways, and carry out mathematical operations using expressions.

  1. 26 Videos
  2. 11 Readings
  3. 22 Assignments
  4. 26 App Items
  5. 26 Plugins

Developing AI Applications with Python and Flask

This course focuses on Python and Flask. The students will learn about the processes and steps involved in creating a Python application, including its development lifecycle. The students will also create Python modules, run unit tests, and get familiar with PEP8 best practices. They will also learn about Flash, learn how to deploy applications using the Flask framework on the web. To end the course, they will also create and deploy AI-based applications on the web server using Flask and IM Watson libraries.

  1. 14 Videos
  2. 7 Readings
  3. 4 Assignments
  4. 10 App Items
  5. 8 Plugins
  6. 1 Peer Review

Building Generative AI-Powered Applications with Python

In this lesson, you will learn about the foundations of generative AI models and use the Hugging Face platform to explore AI models and datasets. You will work on a guided project with Gradio, Python, and the BLIP model to caption images. Through this project, you will learn how to use generative AI to construct an automatic picture captioning tool that can be used in real-world scenarios.

  1. 14 Videos
  2. 10 Readings
  3. 7 Assignment
  4. 9 App Items
  5. 10 Plugins

Generative AI: Elevate your Software Development Career

This course will teach the students how they can generate code snippets, programs, and scripts using generative AI models. They will also learn about applying techniques for application architecture and design, code refactoring, bug detection, and program optimization using generative AI. The participants will also learn about creating innovative solutions using ChatGPT, Google Gemini, GitHub CoPilot, and IBM Watsonx Code Assistant.

  1. 17 Videos
  2. 8 Readings
  3. 7 Assignments
  4. 11 App Items
  5. 11 Plugins
  6. 1 Discussion Prompt

Software Developer Career Guide and Interview Preparation

The final course in this professional certificate specialization will help the students describe the role of a software engineer as well as the career paths one can avail in this category. The participants will learn about how to search for jobs, create their resume, and create a portfolio. They will also get tips for giving an effective interview.

  1. 29 Videos
  2. 7 Readings
  3. 6 Quizzes
  4. 13 Plugins

Description

Regardless of existing programming or AI expertise, the IBM AI Developer Professional Certificate offers a complete route to mastering AI software development in only six months. You will develop the skills necessary to begin a career in AI development by learning how to create AI-powered chatbots and applications through this self-paced curriculum.

The capacity to design, create, and implement generative AI and AI applications, as well as virtual assistants, makes AI developers highly esteemed. Their area of expertise lies in utilizing programming abilities to include AI models and APIs, resulting in sophisticated software solutions.

You will receive an IBM digital badge attesting to your proficiency in AI along with a Professional Certificate upon successful completion. You will also get access to career materials that will help with job search and interview preparation.

Meet the Instructor(s)

  1. IBM Skills Network Team
  2. Michelle Saltoun - Software Developer - IBM
  3. Sina Nazeri - Data Scientist - IBM
  4. Abhishek Gagneja - Python and AI Subject Matter Expert - IBM
  5. Joseph Santarcangelo - Ph.D., Data Scientist at IBM - IBM
  6. Rav Ahuja - Global Program Director - IBM - SkillUp EdTech
  7. Antonio Cangiano - Engineering Manager and AI Specialist – IBM
  8. Upkar Lidder - Senior Software Engineer - IBM
  9. Ramesh Sannareddy - Data Engineering Subject Matter Expert - IBM
  10. Bethany Hudnutt - Instructional Designer - IBM
  11. Ramanujam Srinivasan – IBM


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