Advance AI&ML Training with Generative AI

Categories: Ai, Anatytics, Data
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About Course

In this AI & Machine Learning Training Program, you’ll gain expertise in designing, training, and deploying intelligent systems. Here’s what you’ll learn:

  1. Fundamentals of AI & Machine Learning

    • Understand key AI concepts, including supervised, unsupervised, and reinforcement learning.
    • Explore natural language processing (NLP), computer vision, and automation.
  2. Programming & ML Frameworks

    • Master Python for AI development, along with libraries like Scikit-learn, Pandas, and NumPy.
    • Get hands-on experience with TensorFlow, PyTorch, and Keras for deep learning applications.
  3. Deep Learning & Neural Networks

    • Build artificial neural networks (ANN), convolutional neural networks (CNN), and recurrent neural networks (RNN).
    • Apply deep learning techniques to image recognition, NLP, and time-series forecasting.
  4. AI Automation & Model Deployment

    • Learn how to deploy machine learning models in real-world applications.
    • Explore AI-powered chatbots, recommendation systems, and business automation tools.
  5. Live Training & Personalized Mentoring

    • Participate in live training sessions with industry experts.
    • Receive one-on-one mentoring for career guidance and project development.
  6. Hands-On Projects & Case Studies

    • Work on real-world AI projects, such as fraud detection, speech recognition, and autonomous systems.
    • Apply ML techniques to solve business problems across industries.
  7. Interview Preparation(if you purchased the interview preparation kit ) 

    • Prepare for AI & ML job interviews with mock sessions and expert coaching.

By the end of this program, you’ll be proficient in building, optimizing, and deploying AI models, making you industry-ready for roles in artificial intelligence, automation, and advanced analytics.

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What Will You Learn?

  • This AI & Machine Learning Training Program equips learners with the skills to design intelligent systems, build predictive models, and automate decision-making processes.
  • You will master supervised and unsupervised learning, deep learning, and reinforcement learning using industry-leading tools like Python, TensorFlow, PyTorch, and Scikit-learn.
  • The course includes live training sessions, one-on-one mentoring, and hands-on projects focused on real-world applications such as natural language processing, computer vision, and AI automation. Additionally, interview preparation and placement assistance ensure you are job-ready for roles in AI development, ML engineering, and data science.
  • This program is designed to transform learners into AI-driven problem solvers, preparing them for cutting-edge careers in artificial intelligence and machine learning.