- Instructor: Shrey Talati
- Duration: 10 weeks
Categories: All Courses
Overview
The Certified AI Software Development Professional – AWS Pathway Program at Ideal Institute of Technology is a 1125-clock-hour training program designed to launch careers in artificial intelligence and cloud software development. Students gain hands-on experience building and deploying intelligent applications using Amazon Web Services (AWS) tools such as SageMaker, Lambda, and AWS AI services.
This program prepares you to become a cloud-native AI developer with valuable certifications and real-world experience through paid work-based learning opportunities.
What Will I Learn?
Program Outline
This program includes five 225-clock-hour courses:
- CE410: Cloud & AI Fundamentals with AWS
Learn cloud infrastructure, key AWS services, and how AI applications are deployed in scalable environments. - CE420: Machine Learning Foundations on AWS
Build and train ML models using SageMaker. Explore algorithms for classification, regression, and clustering. - CE330: Deep Learning & Model Deployment
Work with neural networks and deploy AI models using AWS endpoints for production use. - CE340: Natural Language Processing (NLP)
Use AWS tools like Comprehend, Translate, Lex, and Polly to build applications that understand human language. - CE350: Real-Time Data & AI Pipelines
Design systems that respond to real-time data using AWS services like Lambda, Kinesis, and API Gateway.
Earned Skills
Graduates gain:
- Proficiency in AWS machine learning and cloud tools
- Experience with AI model training, deployment, and NLP integration
- Skills in real-time pipeline development and cloud architecture
Certifications and Supplies
Certifications
Students will earn:
- AWS Pathway Certificate from Ideal Institute
- Preparedness for the following AWS Certifications:
- AWS Certified Cloud Practitioner
- AWS Certified Machine Learning – Specialty
- AWS Certified Developer – Associate
Supplies Provided by Ideal:
- AWS lab access
- Software development environments
- E-books and exam prep materials
Supplies Required from Students:
- Personal computer or laptop
- Reliable internet connection for hybrid learning
Career Opportunities
Job Titles:
- AI Software Developer
- AWS Cloud Developer
- Machine Learning Engineer
- Data Engineer
- NLP Engineer
Future Careers:
- Cloud Solutions Architect
- AI/ML Specialist in Tech Startups or Enterprise Environments
Paid Work-Based Learning Opportunity
Earn While You Learn
Qualified students can gain paid, hands-on tech experience:
- Eligibility: 90% attendance, 450+ clock hours, 2.5 GPA
- Hourly Pay: $16–$22/hour
- Work Hours: 10–20 hours/week
- Outcome: Build professional skills while earning income in real-world environments
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