All lesson plans and syllabi are subject to change based upon program choice.
Upon completing the program, you’ll receive a diploma that validates your expertise as a Machine Learning Specialist.
This program requires a set number of clock hours to complete.
No application fee
No SAT/ACT
No essay required
Launch your career in one of today’s most in-demand fields with the Machine Learning Specialist program at DSDT College. Offered through both traditional classroom and flexible distance education, this program delivers a comprehensive, hands-on education in artificial intelligence and data science. Students build essential skills in programming, natural language processing (NLP), and machine learning techniques, preparing them for exciting opportunities in AI engineering and beyond.
The Machine Learning Specialist program features an immersive curriculum that covers critical topics, including Programming, NLP, Machine Learning algorithms, Data Analysis, Data Visualization, API Integration, Version Control, Experimentation and Evaluation, Optimization Techniques, and Software Development Best Practices. Combining rigorous theory with practical exercises, students graduate with the technical expertise and applied experience needed to solve real-world data challenges and excel in AI and data science careers.
To prepare students for post-program success by providing a rich learning environment utilizing researchbased methods of instruction and providing access to relevant and current resources and materials. Students will participate in a challenging and worthwhile Certificate of Completion program based on current industry/academic expectations. The Machine Learning Specialist Program will provide students with a roadmap to gainful employment by instruction in 7.5 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.
• 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.
Python, TensorFlow, Flask, Google Colab, Databricks, Jupyter Notebooks, Visual Studio Code, Github, Scikit-Learn. Matplotlib, Seaborn, Optuna, Pandas, Keras, Numpy, SQL, Kaggle, Excel, Google Sheets, Microsoft, Cengage, Canvas LMS and Populi
A basic understanding of technology is recommended, but no prior experience is needed to enroll.
Personal Computer with stable access to internet (highly recommended)
8-16GB USB Flash Drive or Portable USB or FireWire Hard Drive and Dropbox account (Highly recommended)
Notebook and/or sketch book
Check out our schedule to find available class times that fit your routine. Your academic counselor will assist you in planning your courses for the Machine Learning Specialist program.
The estimated total cost of attending school for a specific period, including tuition, fees, housing, food, books, transportation, and other related expenses.
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 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.
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.
Start your application for free or request additional information.
Embarking on your degree is a significant decision, and we aim to streamline your application process by removing any obstacles.
Enroll in online classes and attend class whenever it fits your life, day or night.
You have access to our support team for up to 14 hours a day, 5 days a week.
Each week will feature an interactive assignment and/or project that illustrates the section they have learned.
DSDT is accredited by the Commission of the Council on Occupational Education.
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