AI ML Bootcamp: Complete Curriculum and Real-World Projects

The AI ML Bootcamp is an immersive learning experience that covers the fundamentals of Artificial Intelligence and Machine Learning. It's a comprehensive program that includes hands-on training and real-world projects.

The bootcamp covers the basics of programming in languages like Python and R, as well as popular libraries like NumPy, pandas, and scikit-learn. These libraries are essential for any AI or ML project.

You'll also learn about data preprocessing, feature engineering, and model selection, which are crucial steps in building accurate machine learning models. By the end of the bootcamp, you'll have a solid understanding of how to design and implement AI and ML solutions.

Throughout the bootcamp, you'll work on real-world projects that showcase your skills and knowledge. These projects will help you apply theoretical concepts to practical problems and demonstrate your ability to think critically and creatively.

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The learning experience in an AI and ML bootcamp is designed to be comprehensive and hands-on. You'll engage deeply in interactive live coding labs, led by expert instructors, to acquire the skills needed to excel in the field.

The bootcamp offers a blend of insightful readings, pre-recorded videos, and project-based learning to enhance your understanding. You'll also have the opportunity to attend monthly masterclasses with industry experts who will share industry insights and best practices.

You'll learn critical concepts in Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through project assignments. The program is designed for busy professionals, with a focus on interactive learning.

Here are some of the skills you can expect to learn:

The bootcamp also offers a supportive community of developers, where you can connect with like-minded individuals, get career advice, and receive project feedback. You'll also have access to a mentorship program, where you can receive one-on-one sessions with industry professionals.

The program is designed to be efficient, with a focus on practical learning, so you can apply your new skills to real-world projects. You'll work on projects that use real-world data, which will help you stand out in the job market.

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In the AI ML Bootcamp, you'll gain a solid foundation in statistics and Python programming. The course covers a wide range of skills, including supervised and unsupervised learning, recommendation systems, and neural networks.

Here are some of the specific skills you'll learn:

The course also covers a variety of tools, including Python, LLMs, TensorFlow 2, Keras, NLTK, scikit-learn, Matplotlib, Django, Flask, OpenCV, and OCR.

In Texas alone, there are over 2,000+ open data scientist - AI/ML roles in Dallas, according to LinkedIn.

The demand for data professionals is projected to increase over 36% through 2033, much faster than the average growth rate of all professions. This is a huge contributing factor to the expansion of the data science industry.

AI & Machine Learning Engineers in Dallas earn an average entry-level salary of $113,094, offering a significant return on investment for anyone pursuing a specialized data science education.

Here are some available job titles and their average salaries in the AI & Machine Learning field:

With the right education and training, you can land a lucrative tech job as an AI Engineer. KnowledgeHut's skill-based AI Engineer Bootcamp is a comprehensive guided self-paced program that covers all aspects of Artificial Intelligence.

The demand for skilled AI professionals is growing at a rapid pace, with organizations around the globe leaving no stones unturned to harness the true potential of AI.

We're committed to making AI and ML education more accessible, which is why we offer several payment options to help you invest in your bootcamp education.

Tuition for our AI ML bootcamp is $7,950, but you may be eligible for a $1,000 New Beginnings Scholarship or a $1,000 Early Enrollment Discount, bringing the total down to $5,950.

To secure your spot, a refundable deposit of $99 is due at the time of enrollment, which is refundable up until the end of the first week of classes.

You can also pay for your bootcamp tuition in affordable, predictable monthly installments, as low as $[insert amount].

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Our admissions policy is designed to ensure that only serious and motivated individuals are accepted into our bootcamp. To start, you'll need to submit your application, which is a short and straightforward process.

You'll have to apply through OpenApply by January 7th, 2025, for the Part-Time AI & Machine Learning Bootcamp that starts on January 13th, 2025.

We're looking for individuals who are ready to dive into our fast-paced and intense immersive program. Our bootcamp is not for everyone, and that's okay.

To give you an idea of what to expect, our Part-Time AI & Machine Learning Bootcamp meets on Monday, Wednesday, and Thursday evenings from 6:30pm to 9:30pm CT.

We're unique, and our admissions policy reflects that. You'll need to prove your seriousness in learning to be admitted to our bootcamp.

Tuition is a crucial aspect to consider when investing in your bootcamp education. We're committed to making tech education more accessible, which is why we offer several payment options to help you invest in your bootcamp education.

For a limited time, you can apply and enroll in an upcoming January 2025 cohort by January 7, 2025 to receive the New Beginnings Scholarship, a $1,000 value. You may also be eligible to save $1,000 on tuition with the Early Enrollment Discount.

Our tuition is $7,950, but with the New Beginnings Scholarship and Early Enrollment Discount, you can save a total of $2,000, bringing the total tuition down to $5,950. A refundable deposit of $99, applied to your total tuition, is due at the time of enrollment.

You can pay for your bootcamp tuition in affordable, predictable monthly installments, making it easier to budget and plan for your education. You may also be eligible to pay for bootcamp using local/state government benefits based on where you live.

The curriculum of the AI ML Bootcamp is designed to equip students with the necessary skills to succeed in the field of artificial intelligence and machine learning. Students will learn through a mix of lectures, labs, and projects, covering topics such as machine learning, deep learning, and natural language processing.

The bootcamp is tailored to meet the needs of students looking to build concentrated knowledge and experience in AI and machine learning, with a focus on practical application and real-world tools. Students will have opportunities to apply their skills in industry-relevant projects to solve real-world challenges.

Here's an overview of the curriculum and projects:

The bootcamp also offers project-based learning cases, where students will work on real-world projects such as identifying inappropriate tweets, building a machine learning recommendation algorithm, and analyzing cancer data. These projects are designed to help students gain hands-on practical knowledge and apply their skills to solve real-world problems.

The UT Dallas AI & Machine Learning Bootcamp is a part-time program that helps students acquire in-demand skills and knowledge of artificial intelligence concepts. It's designed to be completed in 26 weeks, with a mix of lectures, labs, and projects to cover each topic and technology.

Students learn through a mix of lectures, labs, and projects, covering topics such as Python, machine learning, deep learning, and natural language processing. This approach allows students to build skills and practically apply them at the same time.

The curriculum is tailored to meet the needs of students looking to build concentrated knowledge and experience in AI and machine learning. Students learn through a mix of lectures, labs, and projects to cover each topic and technology.

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Here's an overview of the units covered in the program:

The Capstone Project is an opportunity for students to enhance their skills by applying various AI & machine learning techniques to solve real-world challenges, using publicly available data sets.

The UT Dallas AI & Machine Learning Bootcamp is designed to equip students with in-demand skills in AI and machine learning. Over 26 weeks, students will learn practical and theoretical machine learning concepts using real-world tools.

The curriculum is tailored to meet the needs of students looking to build concentrated knowledge and experience in AI and machine learning. It covers topics such as programming, data science, machine learning, deep learning, natural language processing, and generative AI.

Here are some key topics covered in the curriculum:

The bootcamp also covers projects that apply AI and machine learning techniques to solve real-world challenges. Some examples of these projects include predicting customer satisfaction, creating a shopping app using Python, and analyzing housing market data.

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The curriculum is designed to be practical, with a focus on building skills and experience through projects and hands-on learning. Students will have the opportunity to work on real-world projects and apply their knowledge to solve industry-relevant problems.

Some of the key skills that students will gain from the bootcamp include:

Overall, the UT Dallas AI & Machine Learning Bootcamp provides students with a comprehensive and practical education in AI and machine learning, preparing them for in-demand careers in the field.

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Building a strong portfolio is a crucial part of any career, and AI and machine learning bootcamps are no exception. By completing projects and building a portfolio, you can demonstrate your skills and expertise to potential employers.

Many students have reported that the projects they built during the bootcamp were a key factor in landing job interviews and offers. In fact, one student even landed a job offer after completing a project that impressed recruiters.

The projects you'll work on during the bootcamp are designed to be industry-relevant and challenging, helping you to validate your skills and expertise. You'll have opportunities to apply your knowledge in real-world challenges, such as predicting customer satisfaction, creating a shopping app, and developing a movie recommender system.

Some examples of projects you'll work on include:

By completing these projects and building a strong portfolio, you'll be able to confidently explain and showcase your work to potential employers. This can make all the difference in landing a job as an AI engineer.