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AI & Machine Learning Engineering | Aurenza Academy

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Intermediate

AI & Machine Learning Engineering Certification Program

Master this curriculum mapped directly to international corporate standards. Engage in weekly weekend live cohorts led by active technology directors, deploy real-world containerized microservices, and gain direct recruitment referrals.

4.9 (198 Reviews)

5 months Duration

81,576 Learners Enrolled

Verifiable Credential

Cryptographically signed ID to display on professional sites.

Live Cohort Interactive

Ask queries 1-on-1 and undergo live code reviews.

Hiring Partners Referrals

Submit resume directly to our network of 500+ tech consultancies.

Refund Protection Policy

100% guarantee before the commencement of batch lectures.

Join a Cohort

Submit Enquiry

Weekend live cohorts are led by active technology directors. Submit an enquiry to reserve your seat, schedule a counseling callback, or get direct curriculum referrals.

Includes certified diploma credentials verified by block links

36+ Hours of high-definition weekend lecture recordings

Direct access to private Slack channels for learner peer groups

Overview Syllabus Curriculum Corporate Mentor Cohort Timetable Alumni Reviews FAQs

Program Objectives & Focus

This comprehensive upskilling certification program is tailored for graduates and working professionals wishing to make high-paying career pivots into modern tech environments. We bypass classical academic textbook theories and focus 100% on real-world product engineering pipelines.

1Sandbox Labs Training

Implement modern coding standards. Gain experience by deploying container microservices on live sandbox environments.

21-on-1 Mentoring Checks

Have your code reviewed and query logs cleared directly during weekly feedback sessions with active software directors.

Key Technical Competencies

✓ Advanced modular clean coding structure
✓ CI/CD deployment pipelines setup
✓ Restful APIs integration and schema models
✓ Unit tests integration testing frameworks
✓ Interactive frontend component frameworks

Syllabus Blueprint

Detailed Modules Curriculum

Structure designed sequentially to accommodate beginners and non-CS professionals.

1Module 1: Mathematical Foundations

Calculus optimization, Gradient Descent, Vector Calculus, and Probability.

2Module 2: Deep Learning & Neural Networks

Perceptrons, Backpropagation, MLP, and TensorFlow/PyTorch ecosystems.

3Module 3: Computer Vision (CV)

CNNs, Image Segmentation, OpenCV, YOLO model object detection.

4Module 4: Natural Language Processing (NLP)

LSTMs, Transformers, Attention mechanism, HuggingFace transformers, and LLM fine-tuning.

Syllabus Directors

Meet Your Corporate Instructor

Dr. Vivek Sharma

Ph.D. in AI, ex-Google Brain Scientist

"Researcher focused on NLP transformer models, generative architectures, and scaling neural network computing parameters."

Ex-Amazon Lead10+ Enterprise Mentorships1-on-1 Review Allocation

Live Timetable

Upcoming Live Cohorts

Secure your batch seat. Cohorts are limited to 30 seats to ensure proper feedback cycles and counselor allocations.

Cohort Start Date	Class Time Slots	Delivery Mode	Remaining Seats	Action
No upcoming cohorts scheduled at the moment. Drop us a message for special batches.

Alumni Outcomes

Pivoted Career Paths

Got questions?

Frequently Asked Questions

Q: Can I do this course part-time?

Yes! All lectures are live-streamed on weekends and recorded in 4K resolution for asynchronous self-paced review.