This comprehensive course is designed to equip learners with the theoretical knowledge and practical skills required to excel in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Generative AI. From foundational concepts to developing cutting-edge applications, the curriculum covers the entire AI/ML development lifecycle with hands-on implementation, enabling learners to build, deploy, and manage scalable AI solutions. By combining cutting-edge tools, industry best practices, and real-world projects, this course prepares learners to innovate in AI-driven industries while adhering to ethical and operational standards.
By the end of this course, learners will:- Build, train, and optimize supervised, unsupervised, and deep learning models.
- Develop generative AI solutions (text, image, multimodal) using LLMs and diffusion models.
- Deploy scalable AI pipelines with ML-Ops and cloud platforms.
- Implement responsible AI practices to ensure fairness and transparency.
- Automate workflows and integrate AI with IoT/Edge devices.
- Showcase expertise through a capstone project demonstrating end-to-end development of Machine Learning and Gen-AI applications.
Dates:
Upcoming Dates
There are currently no upcoming cohorts scheduled for the Full stack Data Analyst, Full stack Data Scientist, Full Stack AI Engineer, Full stack DevOps Engineer Courses.
Check back again soon for updates!
Tuition & Payment Plans
ITX is committed to making tech education more accessible, which is why we accept a variety of payment options to help make tuition more economical.
- Pay tuition in full or through a payment plan per month.
- Stack Your Benefits: Combine this credit with select Fullstack Academy scholarships to further reduce the cost of your bootcamp.
Career Opportunities
- Role AI Engineer, Gen-AI Engineer, NLP Engineer, CV Engineer :
Create Intelligent and
automated AI models for text, image, or code generation
Skills Required :
Python, OpenCV, CNNs, YOLO, PyTorch, cloud AI services.
Admission Process
Eligibility Requirements :
Prior technical or programming experience is not necessary to be accepted into any of our courses.
Required for Admission :
Be at least 18 years old
Have completed graduation or equivalent
Preferred Qualifications :
Preferably have own laptop or desktop at residence, but not mandatory
