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IBM Applied AI Professional Certificate

 8 months ago
source link: https://www.coursera.org/professional-certificates/applied-artifical-intelligence-ibm-watson-ai
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Professional Certificate - 7 course series

Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer.

This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.

Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions.

In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.

Applied Learning Project

This Professional Certificate contains a number of hands-on learning projects that will help develop your understanding of AI concepts and tools. Projects include building your own AI chatbot; practicing Python for data science; building, training, and testing your own custom image classifiers; and creating your own computer vision web application and deploying it to the Cloud.

Introduction to Artificial Intelligence (AI)

Course 1•8 hours•4.7 (11,890 ratings)

What you'll learn

  • Describe what is AI, its applications, use cases, and how it is transforming our lives

  • Explain terms like Machine Learning, Deep Learning and Neural Networks

  • Describe several issues and ethical concerns surrounding AI

  • Articulate advice from experts about learning and starting a career in AI

Skills you'll gain

Category: Python Programming
Python Programming
Category: Application development
Application development
Category: Web Application
Web Application
Category: Flask
Flask
Category: Artificial Intelligence (AI)
Artificial Intelligence (AI)

Generative AI: Introduction and Applications

Course 2•6 hours•4.7 (52 ratings)

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

Skills you'll gain

Category: Python Programming
Python Programming
Category: Machine Learning
Machine Learning
Category: Artifical Intelligence
Artifical Intelligence
Category: Watson AI
Watson AI
Category: Chatbot
Chatbot

Generative AI: Prompt Engineering Basics

Course 3•7 hours•4.8 (32 ratings)

What you'll learn

  • Explain the concept and relevance of prompt engineering in generative AI models.

  • Apply best practices for creating prompts and explore examples of impactful prompts.

  • Practice common prompt engineering techniques and approaches for writing effective prompts.

  • Explore commonly used tools for prompt engineering to aid with prompt engineering.

Skills you'll gain

Category: Data Science
Data Science
Category: Data Analysis
Data Analysis
Category: Python Programming
Python Programming
Category: Numpy
Numpy
Category: Pandas
Pandas

Building AI Powered Chatbots Without Programming

Course 4•12 hours•4.8 (2,551 ratings)

What you'll learn

  • Describe the benefits of chatbots and their usefulness in tasks such as customer support.

  • Create a useful chatbot without writing any code using Watson Assistant.

  • Specify behaviour and tone to improve your chatbot and make it user-friendly.

  • Develop, test and deploy a chatbot to a WordPress website and interact with it.

Skills you'll gain

Category: Artificial Intelligence (AI)
Artificial Intelligence (AI)
Category: ChatGPT
ChatGPT
Category: Large Language Models (LLM)
Large Language Models (LLM)
Category: Natural Language Generation
Natural Language Generation
Category: Generative AI
Generative AI

Python for Data Science, AI & Development

Course 5•26 hours•4.6 (34,245 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Developing AI Applications with Python and Flask

Course 6•10 hours•4.4 (535 ratings)

What you'll learn

  • Describe the steps and processes involved in creating a Python application including the application development lifecycle

  • Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices

  • Explain the features of Flask and deploy applications on the web using the Flask framework

  • Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Skills you'll gain

Category: Artificial Intelligence (AI)
Artificial Intelligence (AI)
Category: Data Science
Data Science
Category: Machine Learning
Machine Learning
Category: Deep Learning
Deep Learning
Category: Jobs
Jobs

Building AI Applications with Watson APIs

Course 7•20 hours•4.3 (712 ratings)

What you'll learn

  • Describe the technologies involved in the creation of AI applications.

  • Utilize Watson APIs to create useful chatbots.

  • Deploy chatbots to various channels such as Facebook and Slack.

  • Leverages Watson speech APIs to give your chatbot a voice.

Skills you'll gain

Category: Artificial Intelligence (AI)
Artificial Intelligence (AI)
Category: prompt engineering
prompt engineering
Category: ChatGPT
ChatGPT
Category: prompt patterns
prompt patterns
Category: Generative AI
Generative AI

Instructors

Abhishek Gagneja
2 Courses•80,221 learners
Joseph Santarcangelo
25 Courses•1,190,313 learners
Rav Ahuja
44 Courses•2,088,884 learners

Instructors

Abhishek Gagneja
2 Courses•80,221 learners
Joseph Santarcangelo
25 Courses•1,190,313 learners
Rav Ahuja
44 Courses•2,088,884 learners
Antonio Cangiano
5 Courses•69,737 learners
Tanmay Bakshi
2 Courses•21,026 learners
Ramesh Sannareddy
11 Courses•167,504 learners

Offered by

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Offered by

IBM-Logo-Blk---Square.png?auto=format%2Ccompress&dpr=1&w=88&h=88&fit=fill
IBM

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world. For more information about IBM visit: www.ibm.com


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