• Program Duration24 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Dec 13th, 2023

AI and Machine Learning Bootcamp Highlights

  • The UT Dallas Advantage

    A Certificate of Completion -The Erik Jonsson School of Engineering and Computer Science

    UT Dallas combines the academic breadth and depth of a world research institute.

  • Learn from experienced Instructors

    Global AI and ML experts led training with industry-specific cases and applications

    Live classes on the latest topics such as generative AI, prompt engineering and more

  • Practical & Industry-Relevant Experience

    Perfect your skills with 25+ hands-on projects and your choice of 3 capstone projects.

    Interact with your instructors and peers during office hours and project hours.

  • Career Assistance Services

    Gain access to our exclusive job portal.

    Enhance your professional profile with a resume makeover and interview preparation.



Career Opportunites After AI and ML Bootcamp

    • Machine Learning Engineer

      Dedicated to the heart of AI, these engineers design, build, and refine machine learning systems. Collaborating closely with data scientists, they ensure seamless integration of models into AI systems, conducting experiments and detailed statistical analyses.

      Average Salaries
      $ 100K - $ 252K
      Hiring Companies
    • Data Engineer
    • Artificial Intelligence (AI) Engineer

Our Alumni Work At


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Program Outcomes

AI and Machine Learning CertificateAI and Machine Learning Certificate
  • Earn a certificate of completion from UT Dallas.
  • Practical exposure to ChatGPT, explainable AI, and more
  • Perfect your skills with 25+ hands-on projects across industries.
  • Understand the meaning, purpose, scope and applications of AI and ML.

AI and Machine Learning Bootcamp Curriculum

  • This introductory course provides a solid foundation in mathematical and statistical principles. The course aims to develop your critical thinking and problem-solving skills, enabling you to analyze data, make informed decisions and apply mathematical and statistical techniques to industry-relevant situations. This course serves as a stepping stone for further learning in this program.

  • Develop foundational Python skills that you will use throughout boot camp. Use Python to implement AI and ML algorithms, analyze data and build intelligent systems efficiently.

  • This course covers data science essentials, including data preparation, model building and evaluation. You will learn Python concepts like strings, Lambda functions and lists, and explore NumPy, linear algebra, statistical concepts (e.g., measures of central tendency and dispersion, skewness, covariance and correlation), hypothesis testing (e.g. Z-test, T-test, ANOVA) and data manipulation with pandas. You will also gain data visualization skills using Matplotlib, Seaborn, Plotly and Bokeh.

  • This course covers different machine learning types and their applications. You will analyze the machine learning pipeline and delve into supervised learning, regression models and classification algorithms. You will also study unsupervised learning, clustering techniques and ensemble modeling, evaluate machine learning frameworks like TensorFlow and Keras and use PyTorch to build a recommendation engine.

  • Explore the fundamental concepts and applications of deep learning and understand the difference between deep learning and machine learning. Course topics include neural networks, forward and backward propagation, TensorFlow 2, Keras, performance improvement techniques, model interpretability, convolutional neural networks (CNNs), transfer learning, object detection, recurrent neural networks (RNNs), autoencoders and creating neural networks in PyTorch.

  • This course provides a comprehensive understanding of generative AI models with a focus on ChatGPT. You will gain the practical skills to leverage ChatGPT to build and deploy AI chatbot applications. Course topics include generative AI, explainable AI, prompt engineering, fine-tuning, ethical considerations, deployment, security, monitoring, debugging and maintenance

  • This AI and Machine Learning bootcamp ends with a capstone project that will give you an opportunity to implement the skills you learned in Artificial Intelligence and Machine Learning. With dedicated mentoring sessions, you’ll solve an industry-relevant problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.

Skills Covered

  • ChatGPT
  • Computer Vision
  • Conversational AI
  • Deep Learning
  • Ensemble Methods
  • Explainable AI
  • Generative AI
  • Large Language Models
  • Machine Learning Algorithms
  • Model Evaluation and Validation
  • Model Training and Optimization
  • Natural Language Processing NLP
  • Prompt Engineering
  • Reinforcement Learning
  • Speech Recognition
  • Statistics
  • Supervised and Unsupervised Learning

Tools Covered

Open CV

Industry Projects


    AI and ML Bootcamp Program Advisor

    AI and Machine Learning Bootcamp Fee

    Program Fee $ 8,000

    Pay in Installments

    As low as

    You can pay monthly installments using Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Eligibilty Criteria

    • At least 18 years with a high school diploma or equivalent
    • Prior knowledge or experience in programming and mathematics
    • 2+ years of formal work experience (preferred)

    Best Suited For

    • IT Professionals
    • Software Engineers
    • Product Managers
    • Consultants
    • Data Professionals
    • Recent Graduates

    How to Apply For AI and ML Bootcamp

    • STEP 1Submit Application

      Complete the application and include a brief statement of purpose.

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      An offer of admission will be made to qualified candidates.

    Demand of AI and ML Bootcamp in 2024

    In today's digital age, the prominence of artificial intelligence (AI) and machine learning (ML) is undeniable. These technologies permeate our daily lives—from voice assistants like Alexa to generative AI tools like ChatGPT with growing business applications. Deloitte says* that 46% of organizations plan to implement AI in the next three years. As a result, the AI and ML job market is flourishing, with a growth rate that outpaces many other sectors. The U.S. Bureau of Labor Statistics* anticipates a 21% increase in AI-related roles from 2021 to 2031.

    Dive into the future of AI with our AI & Machine Learning Bootcamp. In an immersive 24-week journey, gain hands-on expertise through a curriculum delivered by global AI leaders. With over 25 real-world projects and live classes, you'll be at the forefront of AI innovation. You'll earn a certificate from The Erik Jonsson School of Engineering and Computer Science upon completion. And with our tailored career support, including an exclusive job portal and interview prep, you'll also be job-ready.

    AI and Machine Learning Bootcamp FAQs

    • What is a machine learning bootcamp, and how can it help me develop practical skills in ML?

    • How can an AI bootcamp enhance my understanding of AI technologies and their applications?

    • What topics are typically covered in an artificial intelligence bootcamp or training program?

    • Are any prerequisites or prior knowledge required to enroll in a machine learning or AI bootcamp?

    • How long does it typically take to complete a machine learning or AI bootcamp?

    • What are the benefits of obtaining a recognized AI certification online?

    • How can I determine which are the best machine learning or AI bootcamps?

    • What are the primary tools or programming languages covered in machine learning bootcamps?

    • Are any specific real-world applications integrated into ML bootcamps or AI certification programs?

    UT Dallas and Simplilearn Collaboration

    UT Dallas and Simplilearn Collaboration