How to become a DevOps engineer?

To become a DevOps engineer, you need a strong foundation in cloud technologies, automation tools, and CI/CD pipelines. CynexAI's DevOps & Cloud Technologies course covers essential tools like AWS, Docker, Kubernetes, and Jenkins to prepare you for a successful career as a DevOps engineer.

What is the best AI training institute near Hyderabad?

CynexAI is considered one of the best AI training institutes in Hyderabad, located conveniently in Kukatpally near the KPHB Metro. We offer expert-led courses in Data Science, Machine Learning, and Generative AI with a focus on practical, industry-relevant skills and strong placement support.

Do you offer an online generative AI course for beginners?

Yes, CynexAI offers a comprehensive online course in Artificial Intelligence & Generative AI suitable for beginners and professionals. The course covers everything from neural networks and NLP to advanced generative models, preparing you to build and deploy AI applications.

What is included in the Full Stack Java Developer course?

Our Full Stack Java Developer course is an extensive program covering both front-end and back-end development. You will learn Core Java, Spring Boot, Hibernate, RESTful APIs, and a front-end framework like React or Angular to build complete, robust web applications.

Artificial Intelligence & Generative AI

Enroll in the 6‑month Advanced AI & Generative AI course in Hyderabad. Learn neural networks, generative models, and earn 98% placement support.

Innovate with AI-Powered Content and Intelligent Systems

Deep dive into advanced AI concepts with our Generative AI course in India. This online and classroom training in Hyderabad covers neural networks and cutting-edge generative models to build intelligent systems.

Invest in your future with our industry-leading program.

Design and implement state-of-the-art AI systems

Generate high-quality images, text, and other creative content

Master prompt engineering for optimal AI performance

Understand and mitigate ethical biases in AI models

Deploy advanced AI models to production environments

Contribute to innovative AI research and development

Introduction to AI & Deep Learning

Diffusion Models for Image & Video Generation

Large Language Models (LLMs) & Transformers

Ethical AI & Bias in Generative Models

Final Project: Building a Generative AI Application

Familiarity with basic machine learning concepts

Understanding of linear algebra and calculus

Join thousands of successful graduates and take the first step towards your dream tech career.

Transforming careers through cutting-edge technology education. Join thousands of students who have successfully transitioned into high-paying tech roles with our industry-aligned programs.

MIG-215, Rd Number 1, KPHB Phase I, Kukatpally, Hyderabad, Telangana 500072

Get the latest updates on new courses and tech trends

Artificial Intelligence & Generative AI course is a 6‑month advanced program offered by CynexAI in Hyderabad, available both online and in‑class. It covers neural networks, GANs, VAEs, diffusion models, large language models and prompt engineering, teaching Python, PyTorch, TensorFlow, Keras and Hugging Face. The course includes a certificate, 98% job/internship placement support, and prepares graduates for roles such as AI Engineer, Generative AI Specialist, Prompt Engineer and more.

Frequently asked questions

What is the duration of the Artificial Intelligence & Generative AI course?

The course runs for 6 months. It is designed as an advanced-level program.

What prerequisites are required before enrolling?

Strong Python programming skills, basic machine learning concepts, and an understanding of linear algebra and calculus are required.

Does the program provide job or internship placement assistance?

Yes, the course offers 98% job/internship placement support. Placement assistance is part of the program’s outcomes.

Which career roles can graduates pursue after completing the course?

Graduates can work as AI Engineers, Generative AI Specialists, Machine Learning Researchers, Prompt Engineers, or Generative Computer Vision Engineers.