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Comprehensive Curriculum
All lesson plans and syllabi are subject to change based upon program choice.
Diploma
Upon completing the program, you’ll receive a diploma that validates your expertise as a Machine Learning Specialist.
Ways to Save
Your professional, personal, and academic experiences might provide you with an advantage as you pursue your degree.
Apply Free
No application fee
No SAT/ACT
No essay required
Introduction
The Machine Learning Specialist program offers an extensive and immersive learning experience tailored to prepare students for a successful career in the dynamic field of AI language model engineering. This curriculum encompasses a broad range of critical topics, ensuring a solid foundation in Programming, Natural Language Processing (NLP), Machine Learning, Data Analysis, Data Visualization, API Integration, Version Control, Experimentation and Evaluation, Optimization Techniques, and Software Development Best Practices. Through a combination of theoretical instruction and practical, hands-on exercises, students will develop a comprehensive understanding and skill set in prompt engineering, empowering them to address real-world challenges and excel in their professional endeavors at DSDT is an excellent choice.
Objectives
To prepare students for post-program success by providing a rich learning environment utilizing research-based methods of instruction and providing access to relevant and current resources and materials. Students will participate in a challenging and worthwhile diploma program based on current industry/academic expectations. The Machine Learning Specialist Program will provide students with a roadmap to gainful employment by instruction in 4.5 courses and practical hands-on experience with a capstone project.
Courses
Browse courses for your Machine Learning Specialist diploma program
Education should be practical and relevant. That’s why our courses adhere to high academic standards and equip you with skills and knowledge that you can apply directly to your career.
- Introduction to Computer Programming
- Introduction to Machine Learning
- Deep Learning Foundations
- Data Engineering, Deployment, & Management
- Health and Safety and Job Readiness
- Capstone Project
Course Details
• Instructor Led Lecture
• Discussion/critique
• Interactive applications
• Virtual Lab time sessions
Many of the course research requirements and assignments will be fulfilled during lab time, a one-hour session during in class meetings will be dedicated to projects and task assessments.
*Please reference Academic Policies and Procedures full Policy*
Aesthetic Evaluation relates to your composition, design, and aesthetic approach as well as the originality and degree of creativity demonstrated in the execution of your project.
Encompasses how well you understood the technical issue followed the parameters given and attention to the details necessary for achieving the best solution. Evaluation on troubleshooting skills for hardware and software.
You will be evaluated on how well you apply your technical skills, follow through, your attention to finer details of your execution including how well the project is technically put together and the appropriateness of those choices.
Pyhton, Scala,TensorFlow, PyTorch, spaCy, Django, Streamlit, Flask, Apache NiFi, Microsoft, Cengage, Canvas LMS and Campus Café
Requirements:
A basic understanding of technology is recommended, but no prior experience is needed to enroll.
Gadgets
Personal Computer with stable access to internet (highly recommended)
Specifications
8-16GB USB Flash Drive or Portable USB or FireWire Hard Drive and Dropbox account (Highly recommended)
Other materials
Notebook and/or sketch book
Schedule
Attend classes at your convenience, day or night, as our online classroom is accessible 24/7/365. Your academic counselor will assist in scheduling courses for your Machine Learning Specialist.
Summer
10 week semester
Fall
17 week semester
Spring
17 week semester
Acquire career-relevant skills in a matter of weeks, not years.
Learning shouldn’t be delayed for years before you can apply it. That’s why we empower you to develop career-relevant skills through our five- to six-week courses.
Tuition
Breakdown and Payment Policies
The Machine Learning Specialist Diploma Program is priced at $17,995, which equates to $29.99 per clock hour over a total of 600 clock hours. Additionally, a $25 fee will be applied for any returned or bounced checks.
Affordable, fixed tuition
Secure the peace of mind with fixed, affordable tuition. You’ll benefit from a single flat rate starting from your enrollment until graduation from your program. This is your Tuition Guarantee.
AFFORDABLE,
FIXED TUITION
$29.99
Clock per hour
Financial aid assistance
Submit a Free Application for Federal Student Aid (FAFSA) to explore grant funding opportunities. Use our school code 042752 to ensure your application is properly processed.
Attendance
Attendance on a daily basis is a mandatory requirement for all students. Any class session or activity missed, regardless of cause, reduces the opportunity for learning and may adversely affect a student’s achievement. Students are responsible to instructors for class attendance and for any class work missed during an absence. Student is responsible to catch up on the missing material on his/her own by contacting fellow classmates or instructor.
Careers
What career opportunities are available with a Machine Learning Specialist Diploma?
Embark on a rewarding career path with a Machine Learning Specialist Diploma, where your skills in data-driven decision-making and AI development are in high demand. This program opens doors to exciting roles that shape the future of technology and innovation.
This program will prepare you to become a(n):
- Machine Learning Engineer
- Data Scientist
- AI Researcher
- Predictive Analytics Expert
- AI Software Developer
- Business Intelligence Analyst
Top skills learned in this program:
- Advanced Machine Learning Algorithms
- Data Modeling and Analysis
- Neural Networks and Deep Learning
- Python and R Programming
- Big Data Processing
- Model Evaluation and Optimization
Did you know?
Machine Learning Specialists are like data magicians, transforming massive datasets into predictive models that can forecast everything from shopping habits to stock market trends, making machines smarter every day!
- Evaluate information technology solutions to address common business problems
- Identify and implement information systems security solutions to safeguard network data, users, and devices.
Admission
Apply for free – no application fee, no obligation.
Embarking on your degree is a significant decision, and we aim to streamline your application process by removing any obstacles.
- No SAT/ACT required
- No essay required
- No cost, risk-free trial for eligible students
- We’ll request transcripts at no cost to you, when possible, and we accept eligible credits from over 5,000 accredited institutions.
Learner Experience
An education that fits your busy life
Online learning
Enroll in online classes and attend class whenever it fits your life, day or night.
Around-the-clock support and resources
You have access to our support team for up to 14 hours a day, 5 days a week.
Learning Structure
- 320 Clock Hours- Core Curriculum
- 40 Clock Hours- Health & Safety and Job Readiness
- 240 Clock Hours- Capstone Project
Learning Outcome
Each week will feature an interactive assignment and/or project that illustrates the section they have learned.
Accreditation
Count on the quality of your education
DSDT is accredited by the Commission of the Council on Occupational Education.
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