DigitalCrafts AI Certificate Bootcamps

DigitalCrafts' Bootcamps Certificate at a Glance

  • Flex
    Instruction
  • 15-30
    Weeks
  • Career
    Services Offered
  • No Experience
    Necessary

An Industry Level Foundation for an Industry-Focused Student

  • Choose Your Course of Study: The Artificial Intelligence Fundamentals program focuses on concepts of artificial intelligence, machine learning, and modern applications of AI. The AI & Machine Learning Engineering program allows you to explore topics related to Python programming for AI, natural language processing, and architecting AI systems.
  • Upon successful completion, you will receive a DigitalCrafts Certificate of Completion.
  • Online Flex Instruction: All programs include instructor guidance and feedback.
  • Flex learning path allows you to complete the program in as little as 15 weeks.
  • Career Services Offered - You will receive feedback and support on your portfolio, resume, LinkedIn profile, and interview skills as well as have an opportunity to attend DigitalCrafts virtual Career Fairs.
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Artificial Intelligence
Fundamentals Certificate

Explore insights into Artificial Intelligence (AI) and Machine Learning (ML) technologies, tools, and techniques. This program covers concepts of artificial intelligence, machine learning, AI in business, data science, AI in the cloud, modern applications of AI, and the future of AI.

Courses:
Difficulty: Beginner

  • Artificial Intelligence and Machine Learning Basics
  • Generative AI Prompt Engineering
  • Artificial Intelligence in Business and Data Science
  • Artificial Intelligence in the Cloud
  • Modern Applications of Artificial Intelligence
  • The Future of Artificial Intelligence

What is AI?

Artificial Intelligence (AI) is a branch of computer science. It is essentially teaching a computer how to mimic thinking and decision making like a human. Our goal is to create ‘thinking’ machines that can help us perform complex tasks faster and more efficiently. AI systems can analyze a lot of data, identify patterns, and make recommendations for us. Imagine a computer that can solve puzzles, recognize pictures, and even carry on an interesting conversation with people.

How are Businesses Using AI?

Businesses of all types and sizes are increasingly adopting AI tools and systems to enhance their efficiencies, improve their decision-making, and hopefully gain a competitive edge. Some areas where AI is being used in business may include: customer service, marketing, data analysis, business insights and site maintenance, supply demand forecasting, talent acquisition, cybersecurity, sales and customer behavior insights, product development and quality assurance, disease prediction, personalized treatment recommendations, and operational automation.

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AI & Machine Learning
Engineering Certificate

Discover how individuals and organizations leverage Artificial Intelligence (AI) and Machine Learning (ML) tools and technologies to strengthen implementations of data science and technological innovation. The program covers concepts of Python programming for AI, ML, and data science development. It also covers deep learning, natural language processing, computer vision, and architecting AI systems.

Courses:
Difficulty: Intermediate

  • Introduction to Python Programming
  • Artificial Intelligence, Machine Learning, and Data Science Programming with Python
  • Deep Learning
  • Natural Language Processing and Computer Vision
  • Reinforcement Learning
  • Architecting AI Systems: Design Strategies and Best Practices

Why is Machine Learning Important?

Machine learning’s overall importance is centered on its ability to process and learn from data in ways that humans cannot. This can lead to significant advancements, tremendous efficiencies, and innovations across a wide spectrum of industries. Learning machine learning programming can be important because, although the model does the learning, we still need to write code to create and manage the models, preprocess data, and analyze the results.

Online Flex Study

Do you thrive on one-on-one interaction? Are you curious how you can balance your current responsibilities with our certificate programs?

Our flex learning path was designed for busy students who prefer to choose their own schedule of study and interact closely with their instructor. You will study on your own time and create your own schedule for assignment completion adhering to weekly deadlines. Complete the program in as little as 15 weeks depending on your rate of study and number of courses taken at a time.

Who Benefits from Our Flex Learning Path?

Students who desire to

  • Have access to industry professionals
  • Participate in class discussions
  • Complete out-of-class assignments and activities
  • Receive feedback on assignments from instructors
  • Earn credit hours for completed courses
  • Work one-on-one with your course instructor
  • Maintain a weekly pace to engage with learning materials, complete labs, and submit assignments.
Why Choose
DigitalCrafts
for your Bootcamp?

DigitalCrafts AI bootcamps offer industry-relevant curricula and experienced instructors. With an introduction to the fundamentals of AI and machine learning and hands-on practice with current industry tools, you will explore the skills and topics related to a potential career path incorporating Artificial Intelligence.

  • 1200+ Graduates Strong
  • Listed by Course Report and Career Karma as a Best Coding Bootcamp
  • Evolving Curriculum to reflect industry changes
  • Great for Beginners
  • Career Services and Support Available
  • Scholarships and Grants available for those who qualify
  • Multiple Financing Payment Options

Online, Instructor-Led Flex Program

Artificial Intelligence Fundamentals Certificate AI & Machine Learning Engineering Certificate
Price $9,500 $9,500
Length 15-30 Weeks 15-30 Weeks
Curriculum Artificial Intelligence and Machine Learning Basics
Generative AI Prompt Engineering
Artificial Intelligence in Business and Data Science
Artificial Intelligence in the Cloud
Modern Applications of Artificial Intelligence
The Future of Artificial Intelligence
Introduction to Python Programming
Artificial Intelligence, Machine Learning, and Data Science Programming with Python
Deep Learning
Natural Language Processing and Computer Vision
Reinforcement Learning
Architecting AI Systems: Design Strategies and Best Practices
Program Description In this program students can learn the concepts behind AI in business, data science, and machine learning, discovering how these advancements enhance productivity for businesses. At the program's conclusion, students should possess a comprehensive grasp of AI and ML, understanding their implications for individuals and organizations. In this program students will have the opportunity for hands-on experience with machine learning tools. They can learn how to design AI systems using modern development tools. By the end of this program, students should have practical experience implementing AI and machine learning systems.

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