- AI & Machine Learning
- Artificial Intelligence Engineer
- AI & Machine Learning
Artificial Intelligence Engineer
Artificial Intelligence Engineer: A Comprehensive Guide
Master the Role of an Artificial Intelligence Engineer
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Overview
Artificial Intelligence Engineer Certification training
An Artificial Intelligence Engineer is a specialist in designing, developing, and deploying AI solutions that enable machines to mimic human intelligence. This role involves applying machine learning algorithms, deep learning techniques, and natural language processing to solve complex problems and automate tasks. AI Engineers work with vast datasets to train models, optimize performance, and integrate AI capabilities into various applications. By leveraging advanced AI tools and frameworks, these professionals drive innovation across industries, from healthcare and finance to automotive and technology, creating intelligent systems that enhance decision-making and efficiency.
Industry Demand
Unlock Opportunities: Over Artificial Intelligence Engineer Jobs Available by 2030!
Artificial Intelligence (AI) Engineers are in high demand as businesses increasingly integrate AI technologies to drive innovation, efficiency, and competitive advantage. AI Engineers specialize in developing, deploying, and maintaining AI models and systems, working with machine learning, natural language processing, and computer vision. Industries such as technology, finance, healthcare, and automotive heavily seek AI expertise.
Salaries for AI Engineers vary based on experience and location. Entry-level AI Engineers typically earn around $100,000 per year, while experienced professionals can command salaries exceeding $150,000 annually, particularly in tech hubs and roles involving advanced AI solutions and leadership.
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Expert Instructors
Learn from industry experts with real-world experience
Flexibility
Learning formats, including online courses, workshops.
Supportive community
Connect with peers,mentors, and professionals for success
Hands-On Experience
Our courses include practical labs, real-world projects etc.
High Success Rates
Our students excel in certification and job placement
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Access recorded sessions anytime for flexible review.
Artificial Intelligence Engineer COURSE PRICING
Tuition Fee
Best Seller
Live Online Classroom
Learn in expert-led live sessions
Solid Experiential Learning
- 11 Contact Months with Live Training
- Free On-Demand Course by Industry Experts
- Practice exams and additional resources
-
₹ 26,500₹ 24,000
Self-Paced Learning
Learn at your own pace
Solid Experiential Learning
- 40 Contact Hrs with Live Training
- Practice exams and additional resources
-
₹ 24,500₹ 21,250
WHAT YOU’LL LEARN IN THIS training
Learning Objectives
Explore ethical considerations and responsible AI practices.
Apply natural language processing (NLP) for language understanding and generation.
Implement deep learning models using frameworks like TensorFlow and PyTorch.
Master machine learning algorithms and techniques.
Understand the fundamentals of artificial intelligence and its applications.
PREREQUISITES FOR this CERTIFICATION TRAINING
Prerequisites and Eligibility
- Proficiency in programming languages such as Python, Java, or C++
- Strong foundation in mathematics, including linear algebra, calculus, and probability
- Knowledge of machine learning algorithms and techniques
- Experience with data analysis and data pre-processing
- Familiarity with AI frameworks and tools such as TensorFlow or PyTorch
WHO SHOULD ATTEND THis COURSE ONLINE
Who This Course Is For?
- Data Scientists
- Machine Learning Engineers
- Software Developers
- AI Researchers
- IT Professionals
- Data Analysts
- Engineers
COURSE SYLLABUS
Curriculum
Module 1: Data Science Foundation
Module 2: Python Essentials for Data Science
Module 3: R Language Essentials
Module 4: Math for Data Science
Module 5: Statistics for Data Science
Module 6: Data Preparation with NumPy & Pandas
Module 7: Visualization with Python
Module 8: Machine Learning Associate
Module 9: Advanced Machine Learning
Module 10: SQL for Data Science
Module 11: Deep Learning – CNN Basics
Module 12: Tableau Associate
Module 13: ML Model Deploy- Flask API
Module 14: Big Data Essentials
Module 15: Data Science Project Execution
Module 16: Artificial Intelligence Foundation
Module 17: Machine Learning
Module 18: TensorFlow 2.x Platform
Module 19: Core Learning Algorithms
Module 20: Understanding Neural Networks
Module 21: Implementing Deep Neural Networks
Module 22: Deep Computer Vision - CNN
Module 23: Recurrent Neural Network (RNN)
Module 24: Natural Language Processing
Module 25: Reinforcement Learning Concepts
Module 26: Implementing Reinforcement Learning
Module 27: Generative Adversarial Network
Achieve Excellence: Earn the Coveted Microsoft Certified Artificial Intelligence Engineer Certified Certification Today!
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Artificial Intelligence Engineer CERTIFICATION COURSE REVIEWS
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4.6/5 Rated by 2000+ Learners
4.6/5 Rated by 2000+ Learners
4.6/5 Rated by 2000+ Learners
Artificial Intelligence Engineer CERTIFICATION FAQS
Frequently Asked Questions
Pursuing a career as an Artificial Intelligence (AI) Engineer allows you to work on cutting-edge technologies that involve designing, developing, and deploying AI solutions. It enables you to contribute to advancements in AI, machine learning, and deep learning, impacting various industries such as healthcare, finance, automotive, and more.
Becoming an AI Engineer is ideal for individuals with a background in computer science, mathematics, engineering, or related fields. It is suitable for those interested in artificial intelligence, machine learning, data science, and software development, aiming to build intelligent systems and solve complex problems using AI technologies.
Preparation involves gaining proficiency in programming languages like Python and R, understanding fundamental concepts in machine learning and deep learning, mastering AI frameworks and libraries (e.g., TensorFlow, PyTorch), and gaining hands-on experience through projects and internships.
Becoming an AI Engineer offers opportunities to work on innovative projects, collaborate with multidisciplinary teams, and solve real-world challenges using AI solutions. It opens doors to rewarding career paths in AI research, AI development, data engineering, and AI consulting roles.
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- Recorded Sessions
- 40 Hours
- Hybrid
- Exam Voucher
