Artificial Intelligence (AI)

Course Overview:

Artificial Intelligence (AI) is a technology that enables machines to think and act like humans. AI is used in a variety of applications, such as natural language processing, computer vision, robotics, and machine learning. AI can be used to automate tasks, improve decision-making, and provide insights into data. Major vendors for AI technology include IBM, Microsoft, Google, Amazon, and Apple. These companies provide AI-based solutions for businesses, such as cloud-based AI services, AI-powered chatbots, and AI-driven analytics.

AI training provides individuals with the knowledge and skills to develop and implement AI solutions. These courses cover topics such as machine learning, natural language processing, computer vision, and robotics. They also provide hands-on experience with AI tools and frameworks.

Prerequisites for Artificial Intelligence (AI)

• Knowledge of basic programming languages such as Python, Java, C++, etc.
• Understanding of basic algorithms and data structures.
• Knowledge of Machine Learning and Deep Learning concepts.
• Familiarity with AI tools and frameworks such as TensorFlow, Keras, Scikit-Learn, etc.
• Understanding of AI applications and use cases.
• Ability to apply AI techniques to solve real-world problems.

Course Content:

  • Python Using Exploratory Data Analysis
  • Getting Started with Pandas
  • Analyzing Data with Pandas
  • Machine Learning
  • Computer Vision
  • OpenCV – Computer Vision Basics
  • Simple Object detection with Opencv
  • Object Detection with Deep Learning
  • Object Detection with Deep Learning
  • Raspberry PI
  • Jetson Nano

Target Audience:

  • • Professionals looking to gain expertise in Artificial Intelligence (AI)
    • Students who want to pursue a career in AI
    • IT professionals who want to upgrade their skills
    • Business professionals who want to use AI to improve their business processes
    • Data scientists who want to learn AI techniques to improve their data analysis skills

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