このプロフェッショナル認定について
26,421 最近の表示

100%オンラインコース

自分のスケジュールですぐに学習を始めてください。

フレキシブルなスケジュール

柔軟性のある期限の設定および維持

初級レベル

英語

字幕:英語, 韓国語, ドイツ語

習得するスキル

Deep LearningArtificial Intelligence (AI)Machine LearningwatsonTensorflow

100%オンラインコース

自分のスケジュールですぐに学習を始めてください。

フレキシブルなスケジュール

柔軟性のある期限の設定および維持

初級レベル

英語

字幕:英語, 韓国語, ドイツ語

プロフェッショナル認定のしくみ

コースを受講しましょう。

プロフェッショナル認定プログラムは、一連のオンラインコース群であり、就職の準備に役立ちます。一部のプロフェッショナル認定では、ITサポートなどの特定の分野においてキャリアをスタートする準備ができ、業界認定試験の合格をサポートするプロフェッショナル認定もあります。開始するには、プログラムに登録するか、受講したいコースを選択してください。専門講座の一部であるコースにサブスクライブすると、自動的にすべての専門講座にサブスクライブされます。1つのコースを修了するだけでも結構です。いつでも、学習を一時停止したり、サブスクリプションを終了することができます。コースの登録状況や進捗を追跡するには、受講生のダッシュボードにアクセスしてください。

修了証を取得

登録コースのすべてを修了すると、履歴書やLinkedInに掲載できる共有可能な電子終了証が発行されます。

how it works

このプロフェッショナル認定には12コースあります。

コース1

Introduction to Artificial Intelligence (AI)

4.7
155件の評価
42件のレビュー

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project. This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.

...
コース2

Getting Started with AI using IBM Watson

4.2
18件の評価
6件のレビュー

In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action. This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.

...
コース3

Building AI Powered Chatbots Without Programming

4.7
197件の評価
52件のレビュー

This course will teach you how to create useful chatbots without the need to write any code. Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them. True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. Don't have a website? No worries, one will be provided to you. Chatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding. Gartner predicts that by 2020, 85% of customer interactions with the enterprise will be through automated means (that's chatbots and related technologies). Here is your chance to learn this highly in demand set of skills with a gentle introduction to the topic that leaves no stone unturned.

...
コース4

Python for Data Science and AI

4.6
6,165件の評価
833件のレビュー

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o Your first program o Types o Expressions and Variables o String Operations Module 2 - Python Data Structures o Lists and Tuples o Sets o Dictionaries Module 3 - Python Programming Fundamentals o Conditions and Branching o Loops o Functions o Objects and Classes Module 4 - Working with Data in Python o Reading files with open o Writing files with open o Loading data with Pandas o Numpy Finally, you will create a project to test your skills. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

...

講師

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
Avatar

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network
Avatar

Sacchit Chadha

Software Engineer @IBM | Rising Computer Science Senior @UWaterloo
Avatar

Rav Ahuja

AI and Data Science Program Director
IBM
Avatar

SAEED AGHABOZORGI

Ph.D., Sr. Data Scientist
IBM Developer Skills Network
Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT
Avatar

Tanmay Bakshi

AI Evangelist & Watson Developer
Avatar

Antonio Cangiano

Software Developer and Technical Evangelist
IBM Developer Skills Network

IBMについて

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

よくある質問

  • はい。まず始めに興味のあるコースカードをクリックして登録します。コースに登録して修了することによって、共有できる修了証を取得するか、無料でコースを聴講してコースの教材を確認することができます。修了証の一部であるコースにサブスクライブすると、修了証全体に自動的にサブスクライブされます。進捗を追跡するには、受講生のダッシュボードにアクセスしてください。

  • このコースは完全にオンラインで提供されているため、実際に教室に出席する必要はありません。Webまたはモバイル機器からいつでもどこからでも講義、学習用教材、課題にアクセスできます。

  • This Professional Certificate consists of 12 courses. Each course entails 6-12 hours of effort. If learning part-time (approx 4-6 hours per week), and completing each course within the recommended 4-6 weeks timeframe, this program can be completed within one year. However, if learninig full-time (approx 4 to 6 hours per day), the entire program can even be completed within 3 to 4 months.

  • No prior background in AI, computer science or programming is necessary. As a part of the program you will learn the Python programming language. High School level Mathematics is required for the second half of the certificate (i.e. for the Machine Learning and Deep Learning courses). Although not a strict requirement, knowledge of Calculus and entry level Linear Algebra is an asset for Deep Learning.

  • Many courses build upon skills learned in previous courses. Therefore it is highly recommended to take the courses in the suggested order.

  • At this stage university credit is not available for the courses in this professional certificate.

  • Upon completing this Professional Certificate, you will be able to:

    • Describe what is AI, its applications & use cases, and how its transforming our lives
    • Explain terms like Machine Learning (ML), Deep Learning (DL) and Neural Networks
    • Identify various Watson AI services from IBM and what they can be used for
    • Describe how AI-powered chatbot technology works and its applications
    • Create a customer support chatbot and add it to a website
    • Practice basics of Python programming language using Jupyter notebooks on IBM Cloud
    • Apply Python programming concepts for data science and AI
    • Utilize multiple Watson AI services and APIs together to build smart applications
    • Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
    • Explain what computer vision is and its applications
    • Build and train custom image classifiers using Watson, Python and OpenCV
    • Create an interactive computer vision web application and deploy it on IBM Cloud
    • Explain ML algorithms including Classification, Regression, Clustering, and Dimensional Reduction
    • Implement Supervised and Unsupervised ML models using scipy and scikitlearn
    • Express how Apache Spark works and how to perform Machine Learning on Big Data
    • Deploy ML Algorithms and Pipelines on Apache Spark
    • Demonstrate an understanding of Deep Learning models such as autoencoders, restricted Boltzmann machines,  convolutional networks, recursive neural networks, and recurrent networks
    • Build deep learning models and neural networks using the Keras library
    • Utilize the PyTorch library for Deep Learning applications and build Deep Neural Networks
    • Explain foundational TensorFlow concepts like main functions, operations & execution pipelines
    • Apply deep learning using TensorFlow and perform backpropagation to tune the weights and biases
    • Determine what kind of deep learning method to use in which situation and build a deep learning model to solve a real problem
    • Demonstrate ability to present and communicate outcomes of deep learning projects
  • No specialized hardware and software is required to complete these courses. Learners only require a modern web browser (recent versions of Chrome or Firefox) to complete the courses. All hands-on labs and projects will be performed from web browsers using IBM Cloud based environments and Watson AI services, available at no charge to the learners.

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。