Find your best Artificial Intelligence Engineer online training provider here
Artificial Intelligence Engineer
- Online
- Placement
Artificial Intelligence Engineer
Artificial Intelligence Engineer
- Online / Inclass - McKinney, TX
Artificial Intelligence Engineer
Artificial Intelligence Engineer
- Online
- Placement
Artificial Intelligence Engineer
Artificial Intelligence Engineer Learning Path and Certifications
Upcoming Instructor-Led Artificial Intelligence Engineer live online training dates
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Date & TimeTraining TitleMode & LocationTraining ProvidersBatches
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Jan 30 2026 Mar 1 2026Artificial Intelligence EngineerArtificial Intelligence EngineerOnline Training,$NaNTeklabs USA
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Feb 2 2026 Mar 4 2026Artificial Intelligence EngineerArtificial Intelligence EngineerOnline Training,$NaNEmpire Data Systems LLC
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Feb 3 2026 Mar 5 2026Artificial Intelligence EngineerArtificial Intelligence EngineerOnline Training,$NaNEmpire Data Systems LLC
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Feb 4 2026 Mar 6 2026Artificial Intelligence EngineerArtificial Intelligence EngineerOnline Training,$NaNEmpire Data Systems LLC
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Feb 5 2026 Mar 7 2026Artificial Intelligence EngineerArtificial Intelligence EngineerOnline Training,$NaNEmpire Data Systems LLC
About our Artificial Intelligence Engineer online course
The Artificial Intelligence Engineer course is a comprehensive online program designed to equip learners with foundational knowledge and practical skills necessary to become proficient in artificial intelligence. This course is ideal for beginners, career switchers, and professionals looking to upskill. Upon completion, graduates will have the competencies required to excel in the growing AI industry in the USA.
The course includes hands-on labs, real-world case studies, and comprehensive MOCs to ensure learners can apply the concepts in the industry.
Artificial Intelligence Engineer Course key highlights
- Instructor-led/Live online training
- Hands-on labs and case studies
- Capstone projects
- Placement support
- Resume and interview preparation
Overview of our Artificial Intelligence Engineer online Training
The training is delivered through weekday and weekend live sessions complemented by a Learning Management System (LMS) for self-study. Participants will have access to a robust lab environment and work with real-world datasets to hone their skills.
Objectives of our Artificial Intelligence Engineer online training course
- Understanding the fundamentals of AI and Machine Learning
- Applying AI models for problem-solving
- Designing and implementing neural networks
- Developing expertise in Python programming
- Mastering deep learning frameworks
- Exploring real-world applications of AI
What you will learn in our Artificial Intelligence Engineer classes
- Basics of Artificial Intelligence and Machine Learning
- How to apply AI models in real-world scenarios
- Designing and building neural networks
- Advanced Python programming techniques
- Utilizing deep learning frameworks
- Exploring AI applications in various industries
Course syllabus
Module 1: Introduction to AI
- Basics of AI
- AI applications
- AI algorithms
- AI tools and libraries
Module 2: Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- ML algorithms
Module 3: Deep Learning
- Introduction to Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Deep Learning Libraries
Module 4: AI Project
- Capstone Project
- Project Presentation
- Project Evaluation
- Feedback
Prerequisites: Basic knowledge of programming
Included resources: LMS, recordings, templates
Course details
| Delivery Mode | Duration (weeks) | Hours per session | Total Hours | Mentorship | Labs | Projects | Support Window | Recording Access |
|---|---|---|---|---|---|---|---|---|
| Weekday Live | 12 | 3 | 36 | Yes | Yes | Yes | 24/7 | Yes |
| Weekend Live | 16 | 2 | 32 | Yes | Yes | Yes | 24/7 | Yes |
Pricing: Contact our instructors for
FAQ's on Artificial Intelligence Engineer training & certification
What is an Artificial Intelligence (AI) Engineer course?
Who is this course intended for?
Do I need a background in coding or mathematics?
How long is the course duration?
Will there be hands-on projects?
What certifications will I be prepared for after this course?
Do I need any specific hardware or software?
What's the difference between AI, Machine Learning (ML), and Deep Learning (DL)?
Are there any post-course support or resources?
How much does the course cost, and are there any installment options?
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