Generative AI Training in Hyderabad

AI & Machine Learning - Deep Learning & Transformers - RAG & Agentic AI - Fine-Tuning & AIOps - LLMOps - MCP - A2A - LLMs

Quality Thought’s generative AI training in Hyderabad is designed for classroom learners who want practical skills in Python, Generative AI, LLMs, RAG, agentic AI, and production-focused AI development. The program combines structured classroom learning with hands-on projects and practical engineering workflows. Explore More Courses from Quality Thought to find additional career-focused training programs.

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Batch Details & Schedule

Choose a learning format and schedule that fits your lifestyle

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Course Duration

Course Features & Highlights

Everything you need to build practical Generative AI development skills

Live Projects

Work on real-world projects from day one with industry use cases

Expert Trainers

Learn from industry professionals with 10+ years of experience

100% Placement Support

Dedicated placement cell with assistance until you get hired

Industry Certification

Get certified & boost your resume with recognized credentials

LMS Access

Access to learning materials and recorded sessions

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios

Resume Building

Professional resume preparation and LinkedIn profile optimization

Soft Skills Training

Communication, aptitude, and personality development sessions

Additional Benefits

●   Pay After Placement Options Available

●   Flexible Payment Plans

●   6-12 Months LMS Access

●   Doubt Clearing Sessions

●   Mega Job Drives

●   24/7 Learning Support

Your Path to Mastery

Comprehensive training designed to accelerate your career

Exclusive Training

⏱ 2 hrs/day
Best for: Beginners & Learners
Prerequisites & Eligibility

Everything you need to know before enrolling in our Gen AI Developer Program 

  • Basic understanding of programming concepts with familiarity with software development being helpful
  • Interest in Generative AI, LLMs, RAG, and Agentic AI systems
  • Willingness to learn Python, FastAPI, APIs, & AI application development
  • Interest in building and deploying AI systems using cloud platforms and modern development practices

Special Note: This classroom program provides structured practical learning for learners who want to build Generative AI skills through guided training and hands-on practice. Learners can also explore the Generative AI bootcamp course, gain practical exposure through the Generative AI Internship Course, access career support through the Generative AI Job Assistance Course, and strengthen their implementation skills through the Generative AI Real Time Project.

Complete Course Curriculum

Comprehensive modules covering every aspect of Generative AI development

Foundations of AI & Machine Learning
  • AI & ML Overview: Definitions, Enterprise Use Cases, Emerging Roles
  • ML Workflow & Best Practices: Data Ingestion, Feature Engineering, Model Validation
  • Python Data Stack: NumPy, Pandas, Matplotlib/Seaborn, Git & GitHub
  • Hands-on Lab: Basic ML Classification Project
  • Neural Network Essentials: Perceptron, Forward/Backward Propagation, Activation Functions
  • Hands-On Frameworks: PyTorch & TensorFlow Basics
  • CNNs & RNNs: Image Tasks with CNNs, Sequence Data with RNNs/LSTMs
  • Hands-on Lab: Training a CNN on MNIST/CIFAR-10
  • Transformer Architecture: Self-Attention, Multi-Head Attention, Positional Embeddings
  • LLM Ecosystem: OpenAI GPT, Google Gemini, Meta LLaMA
  • Prompt Engineering & Fine-Tuning: Few-Shot, Chain-of-Thought, LoRA, Adapters
  • Hands-on Lab: Prompt Engineering & Intro to Fine-Tuning
  • RAG Fundamentals: Document Chunking, Indexing, Retrieval, Generation

  • Vector Databases & Embeddings: Pinecone, Chroma, Weaviate, Milvus

  • Implementing RAG Pipelines with LangChain

  • Hands-on Lab: Building a RAG Q&A System

  • AI Agent Concepts: Autonomy, Multi-Step Reasoning, Planning
  • Agent Frameworks: LangChain Agents, Semantic Kernel, Crew AI
  • Tool & API Orchestration
  • Hands-on Lab: Building a Simple AI Agent
  • Advanced Fine-Tuning Techniques: LoRA, QLoRA, Full Fine-Tuning
  • Performance Metrics: BLEU, ROUGE, Perplexity, FID
  • Scalability & Bias Considerations
  • Hands-on Lab: Domain-Specific Fine-Tuning & Evaluation
  • Cloud Platforms & AIOps Pipelines: Jenkins, GitHub Actions
  • Containerization & Serving: Docker, Kubernetes, FastAPI/Flask
  • Observability & Monitoring: Logging, Metrics, Drift Detection
  • Hands-on Lab: Containerizing & Deploying an AI Application
  • Responsible AI Principles: Bias, Fairness, Transparency, Compliance (GDPR, HIPAA)
  • Career Prep: Resume Building, Interview Readiness, Portfolio Development
  • Hands-on Lab: Responsible AI Evaluation & Final Project Demo
  • End-to-End Solution Development with Domain-Specific Datasets
  • Project Scoping, Data Preparation, Model Fine-Tuning & Benchmarking
  • Python Basics, Data Structures, Environment Setup
  • FastAPI Essentials: RESTful APIs, CRUD, Pydantic Models, Unit Testing
  • Hands-on Labs: Python Scripting, FastAPI Development, Testing
  • Deploying Python & FastAPI Applications on AWS, Azure, and GCP
  • Containerization with Docker, CI/CD Integration
  • Hands-on Labs: Multi-Cloud Deployment of ML-Powered APIs

11+ Comprehensive Modules

200+ Hours of Training

Why Choose Quality Thought

Your success is our priority. Here’s what makes us the best choice for your career growth

17+

Years Experience

10,000+

Students Trained

500+

Hiring Partners

95%

Placement Rate

17+ Years of Excellence

Established training institute with proven track record of producing industry-ready professionals

Expert Faculty

Learn from trainers with 10+ years of real-world industry experience in leading tech companies

100% Placement Assistance

Dedicated placement cell with tie-ups with 500+ companies. We support you until you get hired

Comprehensive Curriculum

Updated syllabus covering latest technologies and industry best practices with hands-on projects

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation

Pay After Placement

Flexible payment options including pay after placement for eligible candidates

Flexible Batches

Multiple batch timings to suit working professionals, students, and freshers

Live Project Experience

Work on real client projects during internship at Ramana Soft IT company

We provide innovative placement solutions with direct access to hiring companies, paid internship programs, and comprehensive training that transforms freshers into job-ready professionals. Our proven methodology has helped thousands launch successful tech careers.

Certification

Get industry-recognized certification that validates your skills and boosts your career prospects

Certificate of Completion

Gen AI Development Program

This certifies that

[Your Name]

has successfully completed the

Gen AI Development Program

Training Program

Quality Thought

Ameerpet, Hyderabad

Certificate ID

QT-2024-XXXX

Industry Recognition

Our certificates are recognized by leading companies and add credibility to your resume

Skill Validation

Proves your expertise in Generative AI in all mentioned technologies

Career Advancement

Increases your chances of getting hired and helps in salary negotiations

Digital & Physical

Get both digital certificate for online sharing and physical certificate for framing

Course Certificate

Upon successful completion of training program

Internship Certificate

For I&I program from Ramana Soft IT Company

Project Certificate

For major projects completed during training

Frequently Asked Questions

Find answers to common questions about our Gen AI training program

Classroom training runs at Flat No. 302, 3rd Floor, Niligiri Block, Aditya Enclave, Ameerpet, Hyderabad, Telangana 500016. Learners can attend structured sessions covering practical generative AI development with Python along with the broader Generative AI curriculum.

The centre is in Aditya Enclave, Ameerpet, a short walk from Ameerpet metro station, which is served by both the Blue and Red lines. Learners attending the program can build practical skills relevant to LLM engineer jobs USA through the same structured curriculum.

Confirm current weekday and weekend classroom timings before publishing. The admissions team can provide the latest schedule based on the available classroom batches. The program can also provide a structured generative AI course for freshers who want guided classroom learning.

Yes, the Ameerpet centre provides lab systems for instructor-guided coding sessions. Confirm current lab capacity, whether personal laptops may be used, and whether any GPU access is available for the fine-tuning module. The program also covers practical LLMOps training for learners working with production-oriented LLM systems.

Confirm whether individual code-review time is part of the classroom format, since it is one of the strongest reasons to choose classroom over online learning. Learners who are planning a career change to LLM engineer can use practical code review and mentor feedback to strengthen their development approach.

Both cover an identical curriculum. Classroom results can provide immediate help when stuck and in-person peer study, while online units suit those outside Hyderabad or with unpredictable schedules. Existing developers can also use the program for Python developer to LLM engineer upskilling.

Confirm the current mode-switching policy with the admissions team before enrolling. Availability may depend on the batch structure and schedule. Learners researching is there a generative AI certification can also confirm the certification requirements and completion conditions before choosing the training format.

Confirm the current cap on classroom batch size rather than publishing an assumed number. A defined batch size can help maintain instructor interaction, guided practice and effective doubt-clearing. Organizations that need similar structured learning for teams can also explore LLMOps corporate training.

Confirm with the current cohort whether Telugu or bilingual instruction is offered alongside English-medium teaching. When comparing programs, learners can also evaluate curriculum depth, practical projects, trainer experience and career support when researching the best LLM engineering course 2026.

Yes, call +91 9963468280 to arrange a visit, sit in on a demo session and see the lab setup before deciding.

Ready to Start Your Career in Generative AI Development

Don’t wait. Get trained with hands-on labs and case studies, work on real-world projects from AI fundamentals to production deployment, and build your skills in Transformer architectures, LLMs, RAG, and Agentic AI. Your journey to becoming a Generative AI Developer starts here.

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