• Next cohort StartsAnnouncing Soon
  • Next cohort StartsAnnouncing Soon
  • Program Duration26 weeks
  • Learning FormatLive, Online, Interactive
  • Learning FormatLive, Online, Interactive

Why Join this Program

Program Overview

This AI & Machine Learning Bootcamp delivers a 26-week immersive learning experience covering core AI and ML concepts. You’ll work with tools like Python, Pandas, TensorFlow, Scikit-Learn, and NLTK to build practical, job-ready skills.

Learning Path

Our modern curriculum blends theory with hands-on projects and real-world applications. With interactive learning and career-focused support, you’ll master in-demand tools and develop the skills needed for AI, ML, and data-driven roles.

Learning Path

  • AI - Programming Refresher

    Develop and execute Python programs for real-world applications. Learn essential Python data types and file-handling techniques. Learn and apply decision control structures, looping mechanisms, and argument types in Python.

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    Course Content
  • AI - Applied Data Science with Python

    Utilize Python libraries for data science and perform advanced data manipulation and analysis with NumPy and Pandas. Conduct hypothesis testing and statistical analysis, and implement data cleaning, transformation, and feature engineering techniques.

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    Course Content
  • AI - Machine Learning

    Understand and differentiate types of machine learning models. Apply supervised learning techniques to classification and regression problems. Develop and train machine learning models using Python packages. Evaluate and validate machine learning models using performance metrics. Apply machine learning models to real-world use cases.

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    Course Content
  • AI - Deep Learning

    Design and implement deep neural networks for image and text classification. Apply advanced optimization algorithms to enhance model training. Utilize transfer learning and object detection based on real-world use cases. Perform hyperparameter tuning and regularization for improved model accuracy. Develop sequential models for time-series and video data classification.

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    Course Content
  • AI - Natural Language Processing

    Preprocess and transform text data for NLP tasks. Build and implement NLP models for text classification and sentiment analysis. Utilize word embeddings to enhance text representation in NLP models. Develop and evaluate machine translation systems. Implement advanced NLP models using sequence modeling and attention mechanisms.

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    Course Content
  • AI - Essentials and Applications of Generative AI

    Design and implement generative AI models for various applications. Understand and apply attention mechanisms in transformer models. Develop and fine-tune large language models (LLMs) for enhanced performance. Apply the LangChain framework to build generative AI applications. Optimize and evaluate generative AI models using hyperparameter tuning and benchmarking techniques.

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    Course Content
  • AI - Capstone Project

    Enhance your skills by applying various AI & machine learning techniques to solve real-world challenges, using publicly available data sets.

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    Course Content
Electives:

    Contact Us

    1-844-532-7688

    (Toll Free)

    4+ Skills Covered

    • Python Programming for AI amp ML
    • Natural Language Processing NLP
    • Generative AI
    • Large Language Models LLMs

    16+ Tools Covered

    JUPYTERChatGPTDalle.2GeminiHugging FaceLangchainMatPlotlibMIROkerasOpen AIpandaspythonPyTorchtensorflowUizardNLTK

    Financing

    We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

    Total Program Fee

    $5,250

    Pay In Installments, as low as

    You can pay monthly installments for Programs using Splitit or Klarna payment option with low APR and no hidden fees.

    Enroll now
    • Acknowledgement
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
    • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
    • Career Impact Results vary based on experience and numerous factors.