Mobile App Development

What You’ll Learn

  1. Introduction to Artificial Intelligence and Machine Learning
    Begin with the core concepts of AI, including the history, applications, and future impact. Learn the basics of machine learning, understanding how machines use data to recognize patterns and make predictions.

  2. Python for AI and Data Science
    Dive into Python, the primary language for AI development. Master essential libraries like NumPy, Pandas, and Scikit-Learn for data manipulation, processing, and machine learning applications.

  3. Data Collection and Preprocessing
    Learn how to gather, clean, and preprocess data – a crucial step for training effective AI models. Understand techniques for data wrangling, handling missing values, and feature engineering.

  4. Supervised and Unsupervised Learning
    Explore machine learning algorithms such as linear regression, decision trees, clustering, and dimensionality reduction. Learn when and how to apply these methods to solve different types of problems.

  5. Deep Learning with Neural Networks
    Discover the world of neural networks, including feedforward and convolutional networks. Understand how deep learning drives AI innovations and learn to build and train neural network models.

  6. Natural Language Processing (NLP)
    Study NLP techniques to build AI that can understand, analyze, and generate human language. Work with tools like NLTK and spaCy to process text, sentiment analysis, and language generation.

  7. Computer Vision
    Dive into computer vision, a field where AI interprets and processes visual data. Learn about image recognition, object detection, and convolutional neural networks (CNNs) to build powerful vision applications.

  8. AI Model Deployment and Integration
    Gain insights into deploying AI models in real-world applications. Learn to deploy models using tools like Flask or TensorFlow Serving, and understand the basics of scaling and monitoring AI systems.

  9. Ethics and Responsible AI
    Explore the ethical implications of AI, including data privacy, bias, and transparency. Understand the importance of building responsible AI systems that benefit society.

  10. Capstone Project and Portfolio Development
    Apply your skills in a capstone project that showcases your AI expertise. Develop a portfolio of projects that demonstrate your readiness to work in AI-driven roles and solve real-world challenges.


Why Study with Deskon Academy?

At Deskon Academy, we offer a unique blend of theory and practice, guided by AI experts who bring industry knowledge into every session. Our project-based learning approach allows you to apply AI concepts in real-world scenarios, giving you the confidence to build and deploy your own intelligent applications. With access to the latest AI tools, personalized feedback, and a collaborative environment, you’ll be ready to advance in one of the most promising fields in tech.