CertPREP Courseware: IT Specialist Artificial Intelligence - Self-Paced
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Summary
WEB PRICE:
Rs16,584.91
Member price:
Rs16,584.91
Qty
Please select required options above
Description
Artificial Intelligence (AI) is one of the fastest growing areas of information technology today, transforming the way we think, learn, and work. A certification in AI can help open a world of high-paying opportunities in industries everywhere.
This self-paced CertPREP IT Specialist Artificial Intelligence (INF-307) course covers the entire field of AI. From defining the AI problem that needs to be solved, managing the data, and building an AI model to solve it, to producing, deploying, and monitoring the model in an application. The course is specifically designed to train you for the IT Specialist Artificial Intelligence Certification.
An IT Specialist Artificial Intelligence Certification is proof or your ability to understand AI concepts and use the tools necessary to create AI applications. Duration: Approximately 40 hours of training. Every learner will progress at their own pace.
Course components:
Audience:
Upon successful completion of this course, students should be able to:
This self-paced CertPREP IT Specialist Artificial Intelligence (INF-307) course covers the entire field of AI. From defining the AI problem that needs to be solved, managing the data, and building an AI model to solve it, to producing, deploying, and monitoring the model in an application. The course is specifically designed to train you for the IT Specialist Artificial Intelligence Certification.
An IT Specialist Artificial Intelligence Certification is proof or your ability to understand AI concepts and use the tools necessary to create AI applications. Duration: Approximately 40 hours of training. Every learner will progress at their own pace.
Course components:
- Lessons
- Video learning
- MeasureUp Practice Test for IT Specialist Artificial Intelligence (INF-307) Practice Mode with remediation and Certification mode to simulate the test day experience.
Audience:
- This course is designed for learners with the motivation to become an AI-enabled learner; as well as those who are curious about the professional applications of AI, ML, and associated technologies, and their use in research and career fields.
- None
Upon successful completion of this course, students should be able to:
- Describe the fundamentals of AI.
- Define the problem you want to resolve with AI.
- Extract and transform data to be ready to be analyzed.
- Analyze and visualize prepared data.
- Design an ML approach and test your hypothesis.
- Train and evaluate a classification model.
- Train and evaluate a regression model.
- Train and evaluate a cluster model.
- Launch an AI/ML project.
- Deploy and monitor an AI/ML model in production.
Training outline:
Lesson 1: Reviewing AI Fundamentals
Lesson 1: Reviewing AI Fundamentals
- Topic A: AI Concepts
- Topic B: Uses for AI
- Topic C: Benefits of AI
- Topic D: Challenges of AI
- Topic A: Machine Learning Workflow
- Topic B: Formulate the Machine Learning Problem
- Topic C: Select AI/ML Tools
- Topic A: Collect and Assess Data
- Topic B: Extract Data
- Topic C: Transform Data
- Topic D: Load Data
- Topic A: Examine Data
- Topic B: Analyze Data Distribution
- Topic C: Visualize Data
- Topic D: Preprocess Data for AI and ML
- Topic A: Identify ML Algorithms
- Topic B: Test a Hypothesis
- Topic A: Select, Train, and Tune Classification Models
- Topic B: Evaluate Classification Models
- Topic A: Train Regression Models
- Topic B: Regularize Regression Models
- Topic C: Evaluate Regression Models
- Topic A: Train and Tune Cluster Models
- Topic B: Evaluate Cluster Models
- Topic A: Security and Privacy in AI/ML Projects
- Topic B: Considerations for Ethical Use of AI/ML
- Topic C: Communicate Results
- Topic A: Communicate Model Capabilities and Limitations
- Topic B: Deploy and Test Models in Apps
- Topic C: Support and Monitor AI/ML Solutions
