Generative Ai Training in Hyderabad

with

100% Placement Assistance

Generative AI Training in Hyderabad

Batch Details

Trainers NameMadhu, Dr.Prasad
Trainers Experience12+ Years, 20+ Years
Next Batch Date 25th Oct 2024(Offline), 25th Oct 2024(Online)
Training ModesOnline and Offline Training (Instructor Led)
Course Duration3 Months(Offline & Online)
Call us at+91 9052144555
Email Us atbrollyai.com@gmail.com
Demo Class DetailsClick here to chat on WhatsApp
Generative Ai Training in Hyderabad

Why choose us?

Generative Ai Course Curriculum

Basics of Python Programming
Installation and Setup:
● Installing Python and setting up a development environment (IDEs
like PyCharm, VSCode, Jupyter Notebooks)
Syntax and Basic Constructs:
● Variables and data types (integers, floats, strings, booleans)
● Basic input and output
● Comments and documentation
Control Structures
 Conditional Statements:
● if, elif, else
 Loops:
● for, while
● Loop control statements (break, continue, pass)
Functions
Defining Functions:
● Parameters and return values
Scope and Lifetime:
● Local and global variables
Lambda Functions:
● Anonymous functions

● 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, Semisupervised & Reinforcement Learning)
● Applications in various domains
● Ethical considerations

● NLP essentials
● Basic NLP tasks
● Different text classification approaches
● Frequency based – Bag of words,TF-IDF, N-gram.
● Distribution Models – CBOW, Skipgram(Traditional approaches)and
word2vec, Glove.
● Ensemble Methods (Random Forest, Gradient Boosting, AdaBoost) &
Traditional Machine Learning Models – Naïve Bayes, Support Vector
Machine (SVM), Decision Trees, Logistic Regression.
● Deep learning techniques – CNNs, RNNs, LSTMs, GRU and
Transformers.

● Autoencodes
● VAE’s and applications
● GAN’s and it’s applications
● Different types of GAN’s and applications

● Different types of Language models
● Applications of Language models
● Transformers and its architecture
● BERT, RoBERTa, GPT variations
● Applications of transformer models

● What is Prompt Engineering
● What are the different principles of Prompt Engineering
● Types of Different Prompt Engineering Techniques
● How to Craft effective prompts to the LLMs
● Priming Prompt
● Prompt Decomposition

● Generative AI lifecycle
● What is RLHF
● LLM pre-training and scaling
● Different Fine-Tuning techniques

● What are word embeddings
● What is the use of word embeddings, where we can use it?
● Word Embeddings – Word2Vec, GloVe and FastText
● Contextual Embeddings – ELMo , BERT and GPT
● Sentence Embeddings – Doc2Vec, Infersent, Universal Sentence
Encoder
● Subword Embeddings – BPE(Byte Pair Encoding), Sentence Piece
● Usecase of Embeddings.

● What is Chunking
● What is the use of chunking the document
● What are the traditional effective chunking techniques
● What are the problems and limitations with 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

● What is RAG
● What are the main components of RAG
● High level architecture of RAG
● How to Build RAG using external data sources
● Advanced RAG

● What is Langchain
● What are the core concepts of Langchain
● Components of Langchain
● How to use Langchain agents

● LlamaIndex
● What are Vector Databases
● Why do we prefer Vector Databases over Traditional Databases
● Different Types of Vector Databases: OpenSource and Close Source
● OpenSource: Chroma DB, Weaviate,Faiss,Qdrant
● Close-Source Vector Databases:Pinecone,ArangoDB,Cloud-Based
Solutions

● Supervised Finetuning
● Repurposing-Feature Extraction
● Advanced techniques in Supervised Finetuning -PEFT -LoRA, QLoRA

  • Text based LLMs
    Automatic Evaluation: BULE Score, ROUGE Score, METEOR, BERT
    Score.
    Human Evaluation: Coherence, Factuality, Originality, Engagement
  • Image based LLMs
    Automatic Evaluation: Pixel-level metrics, FID (Frechet Inception
    Distance), IS (Inception Score), Perceptual Quality Metrics,
    Diversity Metrics.
    Human Evaluation: Photorealism, Style, Creativity, Cohesiveness
  • Audio generation LLMs
    Automatic Evaluation:  
  • FAD (Frechet Audio Distance), 
  • IS (Inception Score), 
  • Perceptual Quality Metrics – PAQM, 
  •  PAQM – SNR (Signal-to-Noise Ratio), 
  • PAQM – PESQ (Perceptual Evaluation of Speech Quality)
    Human Evaluation
  • Perceptual Quality – PQ, 
  •  PQ- Naturalness,
  •  PQ-Fidelity, 
  • PQ- Musicality, 
  • Task Specific Evaluation.
  • Video Generation LLMs
    Automatic Evaluation: FVD (Frechet Video Distance), Inception
    Score(IS), Perceptual Quality Metrics, Motion Based Metrics –
    Optical Flow Error, Content-Specific Metrics.
    Human Evaluation: Visual Quality, Temporal Coherence, Content
    Fidelit.
  •  Model Deployment and Management
  •  Scalability and Performance Optimization
  •  Security and Privacy
  •  Monitoring and Logging
  • Cost Optimization
  • Model Interpretability and Explainability.

● Amazon Bedrock, Azure OpenAI

● ChatGPT, Gemini, Copilot

Gen AI Training in Hyderabad - Projects

Developed a Python-based RESTful web application using Flask/Streamlit for a financial institution. The project included implementing OAuth authentication and CRUD operations, providing a seamless user interface for both employees and customers. The system enhanced operational efficiency through secure data management and real-time access.

Built a spaCy-based NER model to extract key entities from unstructured healthcare text, such as drug and chemical information. This automated solution accelerates data mining and supports medical research by providing accurate, real-time entity extraction and analysis.

Created a sophisticated AI-driven facial detection and swapping system for real-time surveillance, optimized for Nvidia Jetson Orin edge devices. Integrated with CCTV systems, this solution enhances security monitoring with real-time face recognition capabilities.

Developed a deep learning system using CNNs for detecting teeth and diagnosing dental issues from panoramic X-rays. This automated tool helps dental professionals by improving diagnostic accuracy and speeding up radiography analysis.

Develop a data pipeline to collect and preprocess historical stock market data, converting stock charts into images for CNN analysis. Train and optimize a CNN model by experimenting with architectures and hyperparameters, and evaluate performance on a validation dataset. Deliverables include a data ingestion script, preprocessed images, a trained model, and performance metrics.

Test the model on real-time stock data, refining its architecture and preprocessing pipeline for better accuracy and generalization. Monitor model performance with real-time data and implement a feedback loop to enhance predictions based on actual market movements.

Integrate the trained model into a web application or API, and deploy it in a production environment. Test the application’s performance and ensure smooth processing of user inputs and analysis generation. Deliverables include a functional application, deployment, and performance test results.

Generative Ai Training in Hyderabad

Training Program

Our Industry Intensive Programs
Freshers
Experienced
Generative Ai Training in Hyderabad

Subject Oriented

Generative Ai Training in Hyderabad

Hands On Approach

Generative Ai Training in Hyderabad

Getting Job-Ready

Industry Ready Program

30 days Duration

25th OCT 2024

The Generative AI Industry Ready Program equips professionals with practical AI skills through technical training and real-world projects.

NEXT BATCH

25th OCT 2024 (Offline)

Limited Seats Available

Intensive Program

3 months Duration

25th OCT 2024

Our Advanced program goes beyond the basics, equipping you with the latest strategies & methods to excel in the competitive online landscape.

NEXT BATCH

25th OCT 2024 (Online & Offline)

Limited Seats Available

Generative Ai Training In Hyderabad
Master Tools

Get Hands-on experience on tools that are used in industry

Generative AI Course In Hyderabad

Training Highlights

LLM Creation & Testing
Learn all about creating and testing language models, from the basics to advanced techniques.
Start with Python

Begin with Python and move on to learn about Machine Learning, Deep Learning, NLP, Language Models, and MLOps.

Advanced NLP Testing
Get skilled in advanced NLP testing methods to ensure your models are reliable and effective.
Industry-Ready Curriculum
Our course is designed to meet current industry needs, covering the latest and most relevant topics.
Experienced Trainers
Learn from experts with over 20 years of experience in multinational companies.
Foundation Level Training
No coding background? No problem. We start from the basics, making it suitable for everyone.
Adaptive Study Methods
Our teaching methods adapt to your learning pace and style, ensuring you grasp the concepts well.
Interactive Classes
Participate in live, interactive sessions that make learning engaging and fun.
Lifetime Access
Enjoy lifetime access to our video lectures and learning materials.
Practical Implementation
Apply what you learn to real-world projects, gaining practical experience.
Doubt Clarification Sessions
We hold special sessions to clear up any doubts you may have.
Personalized Mentorship
Get one-on-one mentorship tailored to your learning needs and career goals.
Advanced Topics
Stay ahead with training on the most in-demand advanced topics in the industry.
Continuous Support
We support you until you get a job, providing guidance and resources.
Interview Preparation
Receive a comprehensive kit to help you prepare for job interviews.
Accredited Certification

Earn a recognized certification that showcases your skills and knowledge.

Access to Research Papers
Get access to important research and white papers to enhance your learning.
Placement Assistance
Our HR team provides support to help you find and secure job opportunities.

What is Generative Ai

Generative Ai Training in Hyderabad

Objectives

Generative Artificial Intelligence (Generative AI) is leading the way in technology, offering the promise of changing many industries by letting machines be creative, innovative, and think outside the box. The goals of Generative AI are  making society, businesses, and technology better.

Generative AI Training In Hyderabad
  • Complete introduction to the fundamental concepts of Generative Ai.
  • Explore various types of generative models, including but not limited to Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and autoregressive models.
  • Hands-on experience in implementing generative models using popular deep learning frameworks like TensorFlow or PyTorch.
  • Directing students through the process of training and adjusting generative models on real-time datasets.
  • Focus on image generation tasks, such as creating realistic images, style transfer, and image-to-image translation.
  • Investigate advanced techniques in creating pictures and manipulation.
  • Cover the application of generative models in NLP tasks, such as text generation, summarization, and converting language.
  • Explore responsible Ai practices and ways to reduce ethical concerns in the development and Implementation of generative models.
  • Analyze and discuss real-world applications of generative AI in industries such as healthcare, finance, art, and entertainment.
  • Brolly Ai Encourage team work through group projects, allowing students to apply their skills in a real-time scenario.
Generative Ai Training in Hyderabad

Pre-Requisites

Generative AI Training In Hyderabad
Who Should Learn Generative AI Course

Machine Learning and Ai Enthusiasts

Individuals who are passionate about machine learning and artificial intelligence and want to explore the field of generative models.

Data Scientists

Data scientists who want to expand their skill set to include generative AI techniques for tasks such as combining data and creative data generation.

Researchers

Researchers in the field of artificial intelligence want to stay updated on the latest developments in generative models and contribute to advancements in the field.

Software Developers

Developers interested in understanding and implementing generative Ai models for applications such as image generation, text generation, and creative content generation.

Computer Vision Engineers

Professionals working in computer vision who want to learn about generative models for tasks such as image creations, style transfer, and image-to-image translation.

Natural Language Processing (NLP) Practitioners

Those working in Natural Language Processing (NLP) want to explore generative models for tasks like text generation, dialogue systems, and language understanding.

Entrepreneurs and Product Managers

Business professionals who want to understand the potential applications of generative Ai for product innovation, content creation, and improving user experiences.

Creatives and Artists

Creative professionals interested in using generative Ai for artistic purposes, such as creating unique visual content, music, or other forms of creative expression.

Students and Academics

Students pursuing degrees in computer science, machine learning, or related fields, as well as academics looking to includes a  generative AI into their research.

Anyone Interested in AI Technology

Individuals who are curious about the capabilities of generative Ai and want to explore its applications across various domains.

Outline of Generative AI Course in Hyderabad

01

The course begins with an introduction to Generative Ai, covering its basic concepts and applications.

02

Participants explore  fundamental machine learning principles, providing a solid foundation for the following modules.

03

The program explores various Generative Ai models, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

04

Practical coding exercises using popular frameworks like TensorFlow and PyTorch are integrated to enhance hands-on skills.

05

Participants learn about ethical considerations in Artificial Intelligence, ensuring a responsible approach to Generative Ai development.

06

Advanced topics such as transfer learning and adjusting models are covered to deepen understanding and expertise.

07

Real-time case studies and projects allow participants to apply their knowledge to practical scenarios. This will help the students at the time of Placement.

08

The Generative Ai Training concludes with a complete review, merging the key concepts and skills acquired throughout the training.

09

In our Generative AI Training in Hyderabad, we provide Certification after completion of the course. This Generative AI certification proves the skill of a particular course at the time of the Interview.

Overview Of Gen AI Training in Hyderabad

Generative Ai Training in Hyderabad is a fantastic opportunity to explore the world of creative artificial intelligence. In this course, you’ll learn the basics of Generative Ai and its everyday uses. 

 From there, you’ll dive into exciting models like GANs and VAEs, getting hands-on experience with popular coding tools like TensorFlow and PyTorch. 

The course is designed to make learning easy, with practical exercises that help you understand and apply these concepts in real-life situations.

As you progress, the training doesn’t just stop at the technical stuff. You’ll also discover the ethical side of Ai, ensuring that you use your newfound skills responsibly. 

From advanced topics like transfer learning to work on real projects, this course provides a balanced understanding of Generative Ai. 

Whether you’re a beginner or looking to deepen your Ai expertise, this training offers a complete overview and practical skills that will stay with you long after the course ends.during the course we also provide Generative Ai interview questions which are more helpful for interview preparation.

Difference between Artificial intelligence and Generative AI
Artificial Intelligence
Generative Ai

Focus

Focus

Outputs

Outputs

Interactivity

Interactivity

Complexity

Complexity

Adaptability

Adaptability

Generative Ai Placements

Generative Ai Training in Hyderabad

Generative Ai Training in Hyderabad

Careers

01

AI Research Scientist: Research to build new models and methodologies to improve the field of Generative Ai technology.

02

Computer Vision Engineer: Apply Generative Ai in computer vision tasks, such as image and video combination, improving the capabilities of systems to interpret visual data.

03

NLP (Natural Language Processing) Specialist: NLP Specialist Work on language generation tasks, developing models that can generate human-like text, supporting applications like chatbots and content creation.

04

Game Developer: Utilize Generative Ai to create dynamic and responsive game environments, improving player experiences through step-by-step content generation.

05

Creative Content Producer: Generate artistic content using Generative Ai, including graphics, music, and literature, contributing to creative industries like advertising and entertainment.

06

Data Scientist: Data Scientist Apply Generative Ai techniques for data  improvement and artificial data generation, improving the performance of machine learning models.

07

AI Product Manager: Supervise the development of Ai-powered products, confirming that Generative Ai features coordinate with market demands and user expectations are the tasks of AI Product Manager.

08

Robotics Engineer: Integrate Generative Ai into robotics systems, supporting robots to adapt and generate responses in real-time to various environments and scenarios.

09

Healthcare AI Specialist: Implement Generative Ai in medical imaging for tasks such as generating artificial images, helping in diagnostics and treatment planning.

10

Cybersecurity Analyst:  Generative Ai is used to simulate and detect potential cyber threats, improving the capabilities of cybersecurity systems to identify and respond to new attack patterns.

Generative AI Salaries

Generative AI salaries can be quite different depending on your experience, job level, and where you work. Beginners can still earn good money, while experts usually get higher pay because of their advanced skills. Knowing the salary trends and what affects pay in this field can help you plan your career and negotiate your salary. This guide will help you understand what to expect for generative AI salaries at various career stages.

Salary Trends
Generative Ai Training in Hyderabad

Skills Developed post-Generative Ai Course

01

Advanced understanding of generative models and their applications in image, text, and music generation.

02

Proficiency in implementing state-of-the-art generative algorithms like GANs and VAEs.

03

Expertise in adjusting and optimizing generative models for specific tasks and datasets.

04

Strong programming skills in frameworks such as TensorFlow and PyTorch for developing generative Ai applications.

05

Ability to critically analyze and adapt cutting-edge research papers in the field of generative Ai.

06

Skill in deploying generative models in real-world scenarios, considering ethical and responsible Ai practices.

Generative Ai Training in Hyderabad Certifications

The Generative Ai certification offered by Brolly Ai Institute holds meaningful importance in  today’s technological environment. This certification signifies a complete understanding and practical skill in the field of Generative Ai, a technology with increasing importance across different industries.

Our Generative Ai Certification in  Brolly Ai Institute not only validates foundational knowledge in Ai and machine learning but also show specialized expertise in generative models like GANs and VAEs.With Brolly Ai Institute certification, individuals not only improve their career opportunities but also gain the confidence to apply Generative Ai in solving real-time challenges responsibly and ethically.

Generative Ai Training in Hyderabad
Generative Ai Course in Hyderabad
Testimonials
Arjun
5Star

@arjun

Brolly Ai Institute’s Generative AI training in Hyderabad was a turning point to my career. The hands-on approach and practical projects allowed me to apply generative models to real-time data, significantly improving my skills in data improvement and presentation. The instructors were experts in the field, providing very useful knowledge. Highly recommended for anyone looking to excel in the field of Ai.

Raj
5Star

@raj

Attending Brolly AI’s generative AI training was one of the best decisions I’ve made for my career. The trainers are not only experts in their field but also passionate about teaching. They make sure the students understand the material and can apply it effectively. We worked on real-time projects that required us to apply the concepts we had learned. The instructors provided continuous support and feedback, which helped me to improve my skills.
Priya
5Star

@priya

Brolly Ai Institute’s Gen AI course in Hyderabad exceeded my expectations. The curriculum covers both foundational concepts and advanced techniques, making it suitable for learners at different levels. The access to latest research projects provided a unique opportunity to contribute to the developing field of AI. Thanks to Brolly AI team because of your support today I placed in a good company.

Kiran
5Star

@kiran

Having attended Brolly Ai Institute’s Generative Ai training in Hyderabad, I can confidently say it’s a must for anyone in computer vision. The practical applications of generative models in image synthesis were enlightening, and the institute’s industry-relevant curriculum perfectly coordinate with the demands of my profession.
Neha
5Star

@neha

Generative AI course which i learned in Brolly Ai Institute in Hyderabad is great for those interested in NLP. It covers language generation techniques and their uses very well. They also offered machine learning and prompt engineering also Meeting professionals and the supportive learning environment made it a valuable experience.

Amit
5Star

@amit

Completing the Gen AI course at Brolly Ai Institute in Hyderabad was crucial for my growth as an AI product manager. Learning about generative models helped me make better decisions in developing AI products. This certification has definitely boosted my career ,Thank you bro

Generative Ai Course in Hyderabad
Trainers
INSTRUCTOR
Ms. Madhu

Lead Data Scientist & Gen AI Consultant

10+ Years of Experience

About the tutor
Our trainer is a Lead Data Scientist specializing in Generative AI and Prompt Engineering, with expertise in LLMs like Llama2. Over 10 years of experience in data science, focusing on predictive modeling, data preprocessing, NLP, and ML.

She is a Generative AI industry expert and seasoned lead trainer, adept at shaping students’ careers by leveraging real-world scenarios in Data Science and Generative AI.

Generative AI Training in hyderabad trainer ai image madhu
Generative AI Training in hyderabad trainer ai image prasad
INSTRUCTOR
Mr. Prasad

Generative AI Industry Expert & Data Scientist

20+ years of Experience

About the tutor

Our trainer is an AI expert and Lead Data Scientist with extensive experience in Machine Learning operations, Deep Learning, NLP, Python/R, as well as Statistical, Biological, and Panel Analysis.

His expertise simplifies complex concepts, making them accessible and practical for students from diverse backgrounds. By offering hands-on experience and real-world applications, he empowers students to build robust skills, preparing them for successful careers in this rapidly evolving field.
Generative Ai Training in Hyderabad
Benefits
Enhanced Skill Set

Generative Ai training prepares individuals with a specialized skill set, including proficiency in developing and applying generative models, improve their capabilities in AI and machine learning.

Expert Guidance

Our Brolly Ai Institute offers complete guidance throughout the training to the student's by our experienced experts in the field of Generative Ai .

Career Advancement

Acquiring skills in Generative Ai opens doors to various job roles across industries, such as computer vision engineer, NLP specialist, and Ai researcher, providing opportunities for career growth and advancement.

Creative Applications

The training allows individuals to explore creative applications of Ai, and generate unique content in fields like art, music, and literature, promoting new ideas in different industries.

Real-World Problem Solving

With hands-on projects and practical applications, Generative Ai training prepares individuals to address real-world challenges, from image creation for medical diagnostics to data augmentation in machine learning.

Industry-Relevant Knowledge

Staying updated with the latest advancements in Generative Ai ensures that individuals possess industry-relevant knowledge, making them valuable assets in an ever-evolving technology landscape.

Generative AI Market Trend

01

Generative Ai is experiencing a growing demand in the market, with businesses recognizing its potential to improve creativity and innovation across various sectors.

02

Industries such as entertainment, healthcare, and e-commerce are increasingly using generative models to create personalized content and improve user experiences.

03

The rise of Generative Adversarial Networks (GANs) has powered market trends, supporting realistic image and video combination, and attracting attention from industries like gaming and virtual reality.

04

In the field of design and art, Generative Ai is becoming a transformative tool, allowing artists and designers to investigate new possibilities and automate certain creative processes.

05

The market trend highlights the integration of generative models into data science practices, supporting data scientists to generate artificial data for training machine learning models.

06

Research and development in Generative Ai continue to advance, with ongoing efforts to improve existing models and investigate novel applications, contributing to the technology’s market growth.

07

The demand for professionals with expertise in Generative Ai is rising, leading to increased training programs and certifications to meet the industry’s workforce requirements.

08

Ethical considerations surrounding the use of Generative Ai are becoming a crucial part of market discussions, influencing how businesses implement these technologies responsibly and transparently.

09

With hands-on projects and practical applications, Generative Ai training prepares individuals to address real-world challenges,  and data augmentation in machine learning.

Our Accomplishments
Students Trained
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Batches Completed
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Years of Experience
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Professional Trainers
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Frequently Asked Questions

FAQ’S

Generative Ai is about creating machines that can be creative, like making art or generating text. Our Generative AI  course Online teaches you how to do this, making it easy for beginners to understand and enjoy.

Generative Ai course offered by Brolly Ai is designed to learn from scratch. Basic knowledge of python is essential.  However, we teach you from basic.

Generative Ai Course at Brolly Ai  is  at an affordable price. For further details, contact us or Email us at brollyai.com@gmail.com

The duration of  Generative AI  course at Brolly Ai is 3 months

No special requirements! Basic computer skills are enough. Brolly Ai Institute welcomes everyone who is curious and eager to learn.

Yes! once you finish the course, you’ll receive a Gerative AI certification from Brolly Ai .

Brolly Ai Institute provides a supportive community and forums. You can ask questions, share ideas, and get help from both instructors and fellow students.

Yes, you’ll have access to the course materials even after completion. It’s a great reference for future projects or refreshing your skills.

Definitely! Brolly Ai Institute believes in learning by doing. There are practical projects that help  your understanding of Generative Ai concepts.

Brolly Ai Institute provides resources like Generative AI Interview Questions and guidance to help you explore job opportunities or internships in the Ai field. Your success matters to us!

Yes, Natural Language Processing (NLP) is a key part of Generative AI. NLP focuses on enabling machines to understand, interpret, and generate human language. In Generative AI, NLP techniques are used to create models like GPT (Generative Pre-trained Transformer) that can generate human-like text, translate languages, summarize content, and even answer questions. 

generative AI can write code. AI models like OpenAI’s Codex and GPT-4 are trained on vast amounts of programming languages and can generate code based on natural language instructions. These models can help developers write functions, automate repetitive coding tasks, debug code, and even build simple applications.

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