Instructor-led Artificial Intelligence (AI) live Online Training Schedule

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Price:
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15,000.00
Duration: 30 Hours

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About your Artificial Intelligence (AI) Training

Skills Covered

Tools Covered

Artificial Intelligence (AI) Training Syllabus

Curriculum Designed by Experts

Topics

This beginner-level course covers the basics of artificial intelligence, focusing on the key concepts, algorithms, and tools used in the field. Participants will learn about AI's practical applications and how to implement simple AI models using popular programming languages and libraries.

Topics
  • What is Artificial Intelligence?
  • History and Evolution of AI
  • AI vs. Machine Learning vs. Deep Learning
Topics
  • Introduction to Python
  • Python Libraries for AI (NumPy, Pandas, Matplotlib)
  • Writing and Running Python Code
Topics
  • Data Types and Structures
  • Data Cleaning and Preparation
  • Data Visualization
Topics
  • Supervised vs. Unsupervised Learning
  • Regression and Classification Algorithms
  • Implementing Simple Machine Learning Models
Topics
  • Basics of Neural Networks
  • Introduction to Deep Learning
  • Building Simple Neural Networks
Topics
  • AI in Healthcare
  • AI in Finance
  • AI in Marketing and Retail
Topics
  • Ethics and Bias in AI
  • Privacy and Security
  • Regulatory Considerations

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Why Artificial Intelligence (AI) Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Artificial Intelligence (AI) Training Details

This beginner-level course covers the basics of artificial intelligence, focusing on the key concepts, algorithms, and tools used in the field. Participants will learn about AI's practical applications and how to implement simple AI models using popular programming languages and libraries.

  • High Demand and Job Opportunities: Enrolling in an AI course for beginners provides a strong foundation in a rapidly growing field, where demand for skilled professionals is soaring across various industries, leading to abundant job opportunities and career prospects.
  • Competitive Advantage: Gaining knowledge and skills in AI gives individuals a competitive edge in the job market, enabling them to stay ahead in an increasingly tech-driven economy and enhancing their employability and potential for career advancement.
  • Versatility and Applicability: AI skills are versatile and applicable across numerous sectors such as healthcare, finance, automotive, and more, offering flexibility in career choices and the ability to contribute to innovative and impactful projects.
  • Develop a strong understanding of AI fundamentals.
  • Acquire practical skills in programming and data handling.
  • Enhance your career prospects with foundational AI knowledge.
  • Hands-on experience with real-world AI applications.
  • Basic Python programming
  • Data handling and preprocessing
  • Implementing machine learning models
  • Understanding neural networks
  • Applying AI techniques to real-world problems
  • Python programming language
  • AI and ML libraries (NumPy, Pandas, Matplotlib, Scikit-learn)
  • Development environments (Jupyter Notebook)
  • Introduce the fundamental concepts of AI.
  • Teach the basics of Python programming for AI applications.
  • Provide hands-on experience with simple AI models.
  • Explore real-world applications and ethical considerations of AI.
  • Beginners with no prior experience in AI or programming.
  • Students and professionals looking to start a career in AI.
  • Anyone interested in understanding the basics of AI and its applications.
  • No prior experience in AI or programming is required.
  • Basic computer literacy and an interest in AI.
  • Fundamental concepts of artificial intelligence.
  • Basic Python programming for AI applications.
  • Implementing simple AI and machine learning models.
  • Understanding the ethical implications of AI.
  • A computer with an internet connection
  • Python installed
  • Jupyter Notebook or another IDE for Python
  • AI Research Assistant
  • Junior Data Scientist
  • AI Software Developer
  • Entry-level positions in AI and machine learning

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