Generative AI Course in Hyderabad
Advance your career with Generative AI training in Hyderabad, get hands-on experience with AI models, and learn real-world applications of artificial intelligence.
Generative AI Course in Hyderabad
Generative AI: Get industry-ready with our Generative AI Course in Hyderabad, work on real-world AI projects, and enhance your skills with expert-led Generative AI training. Generative Artificial Intelligence, also known as Gen AI or Generative AI, is a subset of artificial intelligence designed to create text, images, videos, or other forms of data using generative models. The model is trained on a large amount of data, and the underlying patterns use this training to structure and generate new data using its programs. ChatGPT, Copilot, Gemini, and LLaMA are popular generative AI systems. AI is rising, and almost all industries will use the technology.Â
In our Generative AI training in Hyderabad, you will learn how to build, train, and deploy AI models that generate text, images, and videos. Moreover, you will also learn the concepts of deep learning, natural language processing (NLP), and computer vision. Additionally, you will learn to use tools like Python, TensorFlow, and OpenAI APIs.Â
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Key Features of Our Generative AI Training
- Our Generative AI Training in Hyderabad is led by industry expert trainers who have 12+ years of experience in AI ML technology. Our highly rated faculty ensures you get quality training.
- The course also covers prompt engineering, chatbots, synthetic media creation, and AI-driven automation.
- Our generative AI course syllabus is regularly updated to match market trends. An updated curriculum helps you keep your knowledge relevant at all times.
- Our placement assistance program helps you connect with potential employers. It includes resume building and mock interview preparation.
- Code Zen Eduversity offers a comprehensive curriculum designed by Industry experts. The course covers topics such as Python, machine learning, deep learning, generative language models, and more.
- Our Generative AI course features hands-on learning experiences. The trainer will use a practical approach to train you and help you gain hands-on experience.
- Code Zen Eduversity aims to prepare you for high-paying jobs like Generative AI Engineer and AI Research Scientist.
- Our flexible learning option allows you to choose from Online, offline or Hybrid. You can also stay at our space after class for practice.
Why Choose Code Zen Eduversity for Generative AI Training?
Guaranteed Placement Assistance for Job-Ready Candidates
- 100+ hours of training from real-time industry professionals.
- Small batch sizes for personalized learning approach
- Job-focused course with hands-on live projects.
- Dedicated career counselor and placement team for job assistance.
- Working professional trainers with 12+ years of experience.
- 100% placement support after completing the course.
- Back-up class recording with complete course materials.
- 10+ tools covered during the Generative AI training course.
- Exclusive lifetime access to our resources and community.
Generative AI Course in Hyderabad
Course Curriculum Overview
- Introduction to Generative AI.
- AI vs ML vs DL vs NLP vs Generative AI.
- Generative AI principles.
- What is the role of ML in Gen-AI?
- Different ML techniques (Supervised, Unsupervised, Semi-supervised & Reinforcement Learning).
- Applications in various domains.
- Ethical considerations.
- Python basics- installations, IDE’s, Virtual env,
- Probability and Statistics
- Linear algebra
- Python Libraries – Numpy, Pandas, Scikit learn, Matplotlib and Seaborn, and other libraries
- Data Preprocessing and Advanced concepts required for GenAI
- AI vs ML vs Generative AI
- What is Machine learning in Generative AI
- Supervised Machine learning with GenAI
- Unsupervised Machine learning with GenAI
- Semi-supervised learning and Reinforcement
- Self-supervised learning in GenAI
- Reinforcement learning with Human feedback
- Generative AI principles
- Types of GenAI models
- Applications in various domains
- Ethical considerations
- NLP essentials
- Basic NLP tasks
- Tokenization, Stemming, Lemmatization, Lower casing, Removing punctuations
- Word embeddings
- Word2Vec
- Glove
- FastText
- BERT
- ELMo
- GANs – Generative Adversarial Network
- VAE’s – Variational Autoencoders
- N-grams
- RNNs -Recurrent Neural Networks
- Long Short-Term Memory (LSTM) Networks
- HMS- Hidden Markov Models
- Transformer Architecture
- Attention Mechanism, Autoencoders
- How to create Openai API
- How to integrate OpenAI API key with the applications
- OpenAI’s Text generation
- OpenAI’s Image generation
- OpenAI’s Embeddings
- What are Vectors?
- What are Vector Databases?
- Why do we need Vector databases?
- Applications of Vector databases?
- Different types of Vector databases – Cloud-based, Open-source Vector database
- Cloud-based – Pinecone, Amazon Neptune with Vector Extensions, Azure Cosmos DB with Vector Search
- Opensource: Milvus, Chroma and Faiss
- Introduction to Responsible AI
- Defining Responsible AI
- Importance in the Current Technological Landscape
- Ethical Foundations and Principles
- Key Ethical Principles (Fairness, Accountability, Transparency)
- Understanding and Mitigating Bias in AI
- Overview of LLM and Foundational ModelsArchitecture of Large Language Models
- Text AI LLMs (GPT-3, GPT-3.5, GPT-4, GPT-4.5 Turbo LaMDA, LLaMA, Stanford Alpaca, Google FLAN, Poe, Falcon LLM)
- Getting Started with LLM and their Infra
- LLM text generation program using GPT models using OpenAI
- LLM finetuning and scaling
- LLM text generation finetuning with different parameters
- Why finetuning is actually required
- What is Langchain
- What are the core concepts of Langchain
- Components of Langchain
- How to use Langchain agents
- LlamaIndex
- What is RAG
- What are Vector stores, and what are vector databases
- How to build chatbots
- How to Build RAG using Langchain
- Advanced RAG
- What is Chunking
- What is the use of chunking the document
- What are the traditional effective chunking techniques
- What are the problems and limitations of traditional chunking techniques?
- How to overcome the limitations of Traditional chunking
- Advanced chunking techniques:
 1. Character splitting
 2. Recursive character splitting
 3. Document based chunking
 4. Semantic Chunking
 5. Agentic Chunking
- Text-Based Metrics: Perplexity, BLEU score, ROUGE score, and intrinsic metrics, RAGAS
- Image-Based Metrics: FID, IS
- Human evaluation
- Future Trends and Emerging Technologies: Exploring the latest advancements, predicting future trends, group discussions
- Capstone Projects and Presentations: Teams work on real-world projects, final presentations, certification ceremony
Skill Covered
- Knowledge of fundamentals of Machine learning & Deep learning.
- Implementation of Generative Adversarial Networks (GANs)
- How AI models work and generate human-like text, images, and videos.
- Training of AI to create and manipulate images and videos.
- Crafting effective prompts for AI models like GPT and DALL·E.
- Customization and optimization of pre-trained models for specific applications.
- Work with TensorFlow, PyTorch, OpenAI APIs, and Stable Diffusion.
- Build AI-driven chatbots and voice assistants.
- Generative AI to automate content creation and business workflows.
Flexible Learning Options
Online Training
- 2 Hours Training
- 60 Days
- Online Interaction with Trainer
- LMS Access
- Guaranteed Placement Assistance
- Weekly Assessments
- Morning Slots Available
- Weekdays Training Only
Classroom Training
- 2 Hours Training
- 60 Days
- In-Personal Interaction with Trainer
- LMS Access
- Guaranteed Placement Assistance
- Weekly Assessments
- Only Morning Slots Available
- Weekdays Training Only
Placement Support and Career Opportunities
At Code Zen Eduversity, we offer 100% placement assistance opportunities after our Generative AI training in Hyderabad. We help you prepare with mock interviews, resume building, and career guidance. Career mentorship and guidance from our team will help you gain access to job openings in MNCs and startups.
Job Roles You Can Target
- AI Engineer
- NLP Engineer
- Prompt Engineer
- AI Consultant
- Machine Learning Engineer
Pre Requisites
No prior AI experience is required to learn Generative AI. However, having a basic understanding of Python programming will be beneficial. Knowing mathematics (linear algebra, probability, and statistics) helps you learn Gen AI much more easily.
Who Should Enroll in Gen AI Training?
- Software Developers & Engineers
- AI & NLP Enthusiasts
- Any Degree - B. Tech, BSc, B.Com, BBA, etc.
- Cloud Engineers & DevOps Professionals
- AI Enthusiasts
Testimonials from our Alumni
Certificate Process
Code Zen Eduversity would provide a course completion certificate to the students who finish their training in Generative AI.
The certificate would be offered to students within a week after completing the training program.Â
The certification will be given to the students who have completed their assignments on time and also the projects.
Frequently asked questions
Generative AI is a mechanism that uses AI and ML technology to create content, including text, images, and code. It is transforming industries by enabling automation, personalization, and innovative solutions.
The generative AI course at Code Zen Eduversity is ideal for anyone looking to upskill their AI knowledge. Our Gen AI course is perfect for Students, working professionals, developers, and freshers.
We at Code Zen Eduversity teach everything from the basics, so anyone who is interested in learning generative AI can enroll in our course. However, basic programming knowledge (Python) and understanding AI/ML fundamentals have added advantages.
Our course covers the Generative AI course as per the current technology trends and companies’ requirements. Our course covers the basics of AI and Machine learning along with the Deep learning fundamentals. Moreover, we also cover architectures of Generative AI (e.g., GANs, Transformers) along with hands-on projects.
Our Generative AI course lasts 60 to 70 hours. The session will be conducted from Monday to Friday for 2 hours daily. However, the duration might extend as per the topic.
Yes. Our Generative AI course in Hyderabad offers placement assistance, including mock interviews and resume preparation, to help you get hired.
You can enroll by visiting our website, filling out the application form, or walking to our Madhapur, Hyderabad, location. For assistance, contact our support team.