Artificial Intelligence
Program Overview
Audience
Prerequisite skills for this course :
- Basic IT literacy skills
- Fundamental modern software concepts such as databases, parallel processing, searching, indexing
- Understanding that machine learning is not static programming
Key Features
- Understand the evolution and relevance of AI in the world today.
- Analyze existing and future implementations of AI solutions across multiple industries Including automotive, education, policy, social media, government, consumer, and others.
- Understand AI technology building blocks, including natural language processing, machine and deep learning, neural networks, virtual agents, autonomics and computer vision.
- Explore opportunities brought by the intersection between human expertise and machine learning
- Gain a competitive edge using low-code cloudbased AI tools and pre-built machine learning algorithms.
- Develop a deeper understanding of machine learning techniques and the algorithms that power those systems.
IBM Program Advantage
IBM Training and certifications offers you the ability to earn credentials to demonstrate your expertise. It is designed to validate your skills and capability to perform role-related tasks and activities at a specified level of competence.
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PARTNERING WITH IBM:
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IBM has always believed that if you love what you do, and you have the skills to do it, you can change the way the world works. By developing revolutionary concepts in learning, IBM has made it easier and faster for you to develop the skills you need to succeed:
- Easy access to digital learning content
- Lab platforms providing hands-on labs and product sandboxes
- Global Training Providers offer a robust schedule of IBM training offerings virtually or face to face
- Digital credentials and certificate programs signal your readiness for emerging job roles
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UNNATHI JOBASSIST PROGRAM
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At the heart of our human-centered mission is a passion to solve the world's problems by building the skills you need most. Join us.
Learning Path
- AI overview, trends, advancements
- Types of AI, and its applications
- AI research focus
- Business analytics
Prerequisites
- IBM Watson and how it works
- Watson technology case studies
- From DeepQA to Watson services
- Watson services available on IBM Cloud
Artificial Intelligence Analyst
- Machine learning
- IBM Watson services, IBM Watson Studio,
- Watson Machine Learning, IBM Watson Knowledge Studio
- Deep learning and Neural Network Modeler
- NLP concepts, applications, and case studies
- NLP Watson services
- Introduction to chatbots and chatbots components
- How to build a chatbot with Watson Assistant
- Computer vision components and pipeline
- How to classify images with Watson Visual Recognition
- Building intelligent solutions by integrating Watson services
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Program Duration: 80 Hours
45 Hours Online Training
35 Hours Lab
Completion Certificate
awarded on course completion
Online Bootcamp
Learning Format
