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Course Description

Welcome to Introduction to Artificial Intelligence! This course serves as an entry point for individuals interested in exploring the fascinating world of AI. Artificial Intelligence (AI) is revolutionizing various industries and transforming the way we interact with technology. In this course, you will embark on a journey to understand the fundamental concepts, techniques, and applications of AI.

By the end of this course, students will
  • Gain a comprehensive understanding of the basic concepts and principles of artificial intelligence.
  • Explore different branches of AI including machine learning, natural language processing, computer vision, and robotics.
  • Learn about the history and evolution of AI, as well as current trends and future prospects.
  • Understand the ethical implications and societal impacts of AI technologies.
  • Develop practical skills in implementing AI algorithms and models using Python programming language and popular AI libraries.
  • Explore real-world applications of AI across various domains such as healthcare, finance, transportation, and gaming.
  • Gain hands-on experience through coding assignments, projects, and case studies.

Course Content

  1. Definition and scope of artificial intelligence
  2. History and evolution of AI
  3. Current trends and future prospects

  1. Problem-solving techniques
  2. Uninformed search algorithms (e.g., breadth-first search, depth-first search)
  3. Informed search algorithms (e.g., A* search)

  1. Introduction to machine learning
  2. Supervised learning, unsupervised learning, and reinforcement learning
  3. Feature engineering and model evaluation

  1. Basics of artificial neural networks (ANNs)
  2. Activation functions and network architectures
  3. Training neural networks using gradient descent

  1. Introduction to NLP and its applications
  2. Text preprocessing and feature extraction
  3. Sentiment analysis and text classification

  1. Basics of computer vision and image processing
  2. Image representation and feature extraction
  3. Object detection and image classification

  1. Ethical considerations in AI development and deployment
  2. Bias and fairness in AI algorithms
  3. AI governance and regulation

Are You Interested In Artificial Intelligence?

Contact AGEIS Technova Team & Get all your queries resolved

Phone (For Voice Call)

+91-98105 48914

WhatsApp (For Call & Chat)

+91-74287 06064

Course Features

Online Training

Offline Training

Flexible Training

Industrial Training

Corporate Training

Digitilized Classroom

Frequently Asked Questions

Is Artificial Intelligence easy to learn?

Yes, a student can easily learn Artificial Intelligence with the help of an expert trainer.

Do I have to spend much time learning the course?

No, the students can enroll for the course and complete it within 3 Weeks.

Is theoretical knowledge enough for completing the course?

No, the students have to do internships and training along with the course. At AGEIS Technova, the students are also given practical training.

How can I get a job in a Artificial Intelligence Profile

You must acquire enough knowledge and skills in Artificial Intelligence before applying for the course. That’s why the candidates can enroll in the course from the best institute.

Is Artificial Intelligence course in demand?

Of course yes, with the advancement of technology, courses like Artificial Intelligence are in great demand.

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Contact AGEIS Technova Team & Get all your queries resolved

Phone (For Voice Call)

+91-9953231117

WhatsApp (For Call & Chat)

+91-74287 06064