IT Specialist Artificial Intelligence (INF-307)
Artificial Intelligence is one of the fastest-growing areas of information technology today transforming the way we think, learn, and work. This 5-day instructor-led course covers the entire AI project lifecycle, from defining the problem and managing data to building, deploying, and monitoring an AI model in a real application.
IT Specialist Artificial Intelligence (INF-307)
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 instructor-led 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, proving your ability to understand AI concepts and use the tools necessary to create AI applications.
Key Learning Specs
Level
Beginner
Duration
5 Days (ILT) / ~40 Hrs Self-Paced
Experience
No Prior Experience Required
Labs
Hands-on Lessons + Video Learning
Goal
INF-307 Certification Readiness
Training Details
Course Overview
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 instructor-led Pearson 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 of your ability to understand AI concepts and use the tools necessary to create AI applications.
Duration: Five (5) days. Approximately 40 hours of primary content each learner progresses at their own pace.
Upon successful completion of this course, students will 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
Course Outline
Lesson 1: Reviewing AI Fundamentals
- Topic A: AI Concepts
- Topic B: Uses for AI
- Topic C: Benefits of AI
- Topic D: Challenges of AI
Lesson 2: Defining the Problem for AI
- Topic A: Machine Learning Workflow
- Topic B: Formulate the Machine Learning Problem
- Topic C: Select AI/ML Tools
Lesson 3: Accessing and Managing Data for AI
- Topic A: Collect and Assess Data
- Topic B: Extract Data
- Topic C: Transform Data
- Topic D: Load Data
Lesson 4: Analyzing Data
- Topic A: Examine Data
- Topic B: Analyze Data Distribution
- Topic C: Visualize Data
- Topic D: Preprocess Data for AI and ML
Lesson 5: Designing a Machine Learning Approach
- Topic A: Identify ML Algorithms
- Topic B: Test a Hypothesis
Lesson 6: Developing Classification Models
- Topic A: Select, Train, and Tune Classification Models
- Topic B: Evaluate Classification Models
Lesson 7: Developing Regression Models
- Topic A: Train Regression Models
- Topic B: Regularize Regression Models
- Topic C: Evaluate Regression Models
Lesson 8: Developing Cluster Models
- Topic A: Train and Tune Cluster Models
- Topic B: Evaluate Cluster Models
Lesson 9: Launching an AI/ML Project
- Topic A: Security and Privacy in AI/ML Projects
- Topic B: Considerations for Ethical Use of AI/ML
- Topic C: Communicate Results
Lesson 10: Deploying and Monitoring an AI/ML Model in Production
- Topic A: Communicate Model Capabilities and Limitations
- Topic B: Deploy and Test Models in Apps
- Topic C: Support and Monitor AI/ML Solutions
Audience profile
This course is designed for students 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.
Certification Pre-requisites
None. This course has no prerequisites and is suitable for complete beginners.
Target certification exam: IT Specialist Artificial Intelligence (INF-307)