2

Part Time Computer Science Training Jobs in Georgia

This position will be a part time position working on the client site at the CDC Chamblee Campus ... Bachelor's degree in Information Technology, Computer Science, Business Systems, or related field ...

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval ... PART-TIME OPPORTUNITIES There are part-time roles as an Engineering Duty Officer in the Navy.

Showing results 41-60

Part Time Computer Science Training information

What is part time computer science training?

Part time computer science training refers to educational programs or courses in computer science that are designed to be completed on a flexible schedule, typically requiring fewer hours per week than full-time programs. These courses are ideal for individuals who have other commitments, such as work or family, and want to gain or improve their computer science skills at their own pace. Training may cover topics like programming, data structures, algorithms, and software development. Part time training can be offered by universities, online platforms, or bootcamps, and may lead to certificates or preparation for further study. This approach allows learners to balance education with other responsibilities.

What are the key skills and qualifications needed to thrive as a part-time computer science trainer, and why are they important?

To thrive as a Part-Time Computer Science Trainer, you need a solid understanding of core computer science concepts, programming languages, and instructional experience, typically backed by a relevant degree or professional certifications. Familiarity with learning management systems (LMS), code collaboration platforms, and educational tools like Zoom or Google Classroom is often required. Strong communication, patience, and adaptability help trainers effectively engage and support diverse learners. These skills are essential for delivering high-quality training, fostering student success, and keeping pace with evolving technology.

What are some common challenges faced by part-time computer science trainers, and how can they be addressed?

Part-time computer science trainers often encounter challenges such as managing diverse student backgrounds, keeping up with rapidly changing technology, and balancing multiple responsibilities across different commitments. To address these, trainers can develop adaptable lesson plans, leverage online resources for up-to-date materials, and use collaborative tools to stay organized. Additionally, fostering open communication with students and other faculty members can help create a supportive learning environment and ensure a successful training experience.

What is the difference between Part Time Computer Science Training vs Part Time Software Developer?

AspectPart Time Computer Science TrainingPart Time Software Developer
CredentialsTypically no formal credentials required; focus on foundational knowledgeOften requires programming skills, experience, or certifications
Work EnvironmentClassroom or online learning settingsRemote or on-site project-based work
Industry UsageUsed for skill development and educationUsed for actual software development projects
Search IntentLearning and training optionsJob opportunities and freelance work

Part Time Computer Science Training focuses on education and skill-building, often in classroom or online settings, without requiring prior experience. In contrast, Part Time Software Developer roles involve applying programming skills to develop software, typically requiring prior knowledge or certifications. While training prepares you for development work, the developer role involves actual project execution in a professional environment.

What cities in Georgia are hiring for Part Time Computer Science Training jobs?

Cities in Georgia with the most Part Time Computer Science Training job openings:

ML Software Engineer Intern - AI/CAD Integration

Atlanta, GA • On-site

Full-time, Part-time, Internship

Re-posted 4 days ago


Job description

Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.

We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.
Responsibilities

  • Design and implement code for training/serving ML models in chip design workflows
  • Automate creation of large datasets for training models
  • Integrate ML models into existing chip design software infrastructure
  • Write comprehensive tests and documentation
  • Collaborate with engineers to understand model requirements and deployment needs
  • Participate in code reviews and follow software engineering best practices
  • Research and evaluate new technologies for ML model serving and deployment

Requirements

  • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
  • Availability to work at least part-time starting in Fall 2026
  • Strong Python programming skills with experience in scripting and automation
  • Understanding of software engineering principles and code organization
  • Experience with data processing libraries (pandas, numpy, scipy)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Basic understanding of file I/O, data parsing, and format conversion
  • Experience with version control systems (Git) and collaborative development

Preferred Skills

  • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)
  • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)
  • Experience with shell scripting (bash) and command-line tools
  • Understanding of semiconductor design concepts
  • Familiarity with Linux environments
  • Experience with workflow automation and batch processing systems
  • Knowledge of data visualization tools (matplotlib, plotly) for design analysis
  • Understanding of software testing frameworks and debugging techniques

Benefits

  • Competitive Salary
  • Sick Leave
DISCLOSURE
  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.