Data Sciences at Tenbytes Institute is an interdisciplinary program that equips students with the knowledge and skills to harness the power of data in today’s digital world.

DATA SCIENCE

Business analysis and reporting in Rawalpindi

DATA SCIENCE

 Our program covers a wide range of topics, including statistical analysis, machine learning, data visualization, and data mining techniques. Students also gain expertise in programming languages such as Python and R, which are widely used in the field of data science. With a strong emphasis on real-world applications, our graduates are well-prepared to tackle complex data challenges across various industries, making data-driven decisions, and driving innovation.

Advance Artificial Intelligence Course Details

Course Schedule

  • Classes

    Classes will be held four times a week.

  • Three time slots available

    Morning 10AM To 12PM
    Evening 2PM to 4 PM
    Night 6PM to 8PM.

  • Holiday

    Holiday classes provided for uninterrupted learning

Course Content

Course Outlines

1. Introduction to Advanced Artificial Intelligence
  • Understanding the principles and applications of AI
  • Exploring the latest trends and advancements in AI
  • Ethical considerations and responsible AI practices
  • Setting up development environments and tools
2. Machine Learning and Deep Learning
  • Supervised, unsupervised, and reinforcement learning
  • Neural networks and deep learning architectures
  • Feature engineering and model evaluation techniques
  • Advanced topics: transfer learning, generative models, etc.
3. Natural Language Processing (NLP)
  • Text preprocessing and feature extraction
  • Sentiment analysis and text classification
  • Language modeling and sequence generation
  • NLP applications: chatbots, language translation, etc.
4. Computer Vision
  • Image preprocessing and feature extraction
  • Object detection and image segmentation
  • Facial recognition and emotion detection
  • Computer vision applications: autonomous vehicles, surveillance, etc.
5. AI in Computer Vision
  • Markov decision processes and dynamic programming
  • Q-learning and deep Q-networks (DQN)
  • Policy gradients and actor-critic methods
  • Reinforcement learning applications: game playing, robotics, etc.
6. AI in Natural Language Processing (NLP)
  • Named entity recognition and entity linking
  • Question answering and information retrieval
  • Text summarization and language generation
  • Advanced NLP techniques: transformer models, BERT, etc.
7. AI in Computer Vision
  • Object recognition and scene understanding
  • Image generation and style transfer
  • Video analysis and activity recognition
  • Advanced computer vision models: GANs, CNNs, etc.
8. AI Ethics and Responsible AI
  • Bias and fairness in AI algorithms
  • Privacy and data protection considerations
  • AI regulation and accountability
  • Ethical decision-making frameworks in AI
9. AI Project Development
  • Applying AI techniques to real-world projects
  • Project scoping, data collection, and preprocessing
  • Model training, evaluation, and fine-tuning
  • Presenting and showcasing AI projects

Why Choose Our Course?

Expert Instructors: Learn from industry professionals with extensive experience in digital marketing.

Hands-on Practical Experience: Gain real-world skills through interactive projects and case studies.

Updated Curriculum: Stay up-to-date with the latest trends, tools, and techniques in digital marketing.

Flexible Class Schedule: Morning and evening time slots to suit your convenience.

Weekend Classes: Additional classes available on weekends to ensure comprehensive learning.

Career Opportunities: Enhance your job prospects with sought-after digital marketing skills.

🏆 Course Completion and Benefits:

Upon successful completion of the course, you will receive a certificate of achievement. Additionally, you will gain:

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