Generative AI Training in Hyderabad
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100% Placement Assurance
- Certification Support
- Interview Guidance
- Daily Live Recordings
- Resume Building with Real-Time Project
- Live Projects
- Resume & LinkedIn Optimization
- Interview Mock Rounds
- Job-Ready Skills with Project Portfolio
- Daily Class Access
- Career Mentorship
- CALL US AT : 9392090588
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Students Enrolled
Online Training
Mode
90 Days
Duration
Generative AI Training in Hyderabad - Upcoming Batches
DEMO DATE :
10TH OCT 2025
Time :
09:30 AM TO 11:00 AM
Program Duration:
90 days
Learning Format:
Online Training
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Generative AI Training in Hyderabad - Course Curriculum
Introduction to Python
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
Data Structures & Algorithms
- Core Data Structures
Lists:
Creating, accessing, modifying, and iterating over lists
List comprehensions
Tuples:
Creating and using tuples Unpacking tuples
Sets:
Creating and using sets
Set operations (union, intersection, difference)
Dictionaries:
Creating and using dictionaries
Dictionary methods and comprehensions
File Handling and Data Processing
- File Operations
Reading and Writing Files:
Opening, reading, writing, and closing files
Working with different file modes (r, w, a, rb, wb)
Working with CSV and JSON:
Reading from and writing to CSV and JSON files using csv and
json modules
Object-Oriented Programming
- OOPs Basics
Classes and Objects:
Defining classes and creating objects
Instance variables and methods
Class Variables and Methods:
Using class variables and class methods
Inheritance:
Single and multiple inheritance
Polymorphism and Encapsulation:
Method overriding
Private variables and name mangling
Modules and Packages
- Modular Programming
Creating and Importing Modules:
Defining and using modules Packages:
Organizing code into packages
Importing from packages
Exception Handling and Debugging
- Error Handling
Exception Types:
Common exceptions (ValueError, TypeError, etc.,)
Try, Except Blocks:
Using try, except, else, and finally
Working with Libraries
- Scientific Computing
NumPy:
Arrays and matrix operations
Pandas:
DataFrames for data manipulation
Reading and writing data (CSV, Excel)
Data Visualization
Matplotlib:
Plotting graphs and charts
Seaborn:
Statistical data visualization
GenAI and It's Industry Applications
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 & Deep Learning
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.
Deep learning techniques – CNNs, RNNs, LSTMs, GRU and
Transformers
Generative AI Models
Autoencodes
VAE’s and applications
GAN’s and it’s applications
Different types of GAN’s and applications
Language Models & Transformer Models
Different types of Language models
Applications of Language models
Transformers and its architecture
BERT, RoBERTa, GPT variations
Applications of transformer models
Prompt Engineering
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
Large Language Models
Generative AI lifecycle
What is RLHF
LLM pre-training and scaling
Different Fine-Tuning techniques
Different Chunk Metrics
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
RAG and Advanced RA with Langchain
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
Langchain for LLMs
What is Langchain
What are the core concepts of Langchain
Components of Langchain
How to use Langchain agents
Vector Databases
LlamaIndex
What are Vector Databases
Why do we prefer Vector Databases over Traditional Databases
Different Types of Vector Databases: OpenSource and Close Source
dOpenSource: Chroma DB, Weaviate,Faiss,Qdrant
Close-Source Vector Databases:Pinecone,ArangoDB,Cloud-Based
Solutions
Finetuning LLMs
Supervised Finetuning
Repurposing-Feature Extraction
Advanced techniques in Supervised Finetuning -PEFT -LoRA, QLoRA
LLMs Evaluation
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-toNoise Ratio),
PAQM – PESQ (Perceptual Evaluation of Speech Quality)
Human Evaluation:Perceptual Quality – PQ, PQ- Naturalness, PQFidelity,
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
LLMops
Model Deployment and Management
Scalability and Performance Optimization
Security and Privacy
Monitoring and Logging
Cost Optimization
Model Interpretability and Explainability
LLM's on Cloud
Amazon Bedrock, Azure OpenAI
Different AI Tools
ChatGPT, Gemini, Copilot
Why Choose Generative AI Course at Upskill Generative AI?
- Connect with Hyderabad’s AI Community & Hiring Partners
- High Placement Rate in Generative AI Roles
- Always-Updating AI Curriculum Aligned with Industry Trends
- Expert Guidance and Mock Assessments
- AI Resume Building & LinkedIn Profile Optimization
- Live Generative AI Use Cases & Industry Scenarios
- In-Depth Learning of Generative AI Models
- Industry-Expert AI Trainers with Real-Time Experience
- Gain Practical Skills Through Real-Time Projects
- Online Training Mode that Suits Your Learning Needs
- Career-Focused Generative AI Certification with Job Support
- Personal AI Mentorship & Capstone Project Assistance
Key Highlights of Our Generative AI Training in Hyderabad
➤ Comprehensive Curriculum
Covers fundamentals to advanced concepts in Generative AI, aligned with current industry trends.
➤ Hands-On Learning
Covers fundamentals to advanced concepts in Generative AI, aligned with current industry trends.
➤ Industry-Relevant Projects
Work on AI use cases that prepare you for real-time challenges in the job market.
➤ Expert Instructors
Trainers with real-world AI experience deliver practical, high-impact learning.
➤ Modern Tools & Infrastructure
Train with the latest tools and platforms in Generative AI & ML, all accessible online.
➤ Personalized Mentorship
Tailored support and guidance to help you succeed at every stage of your learning journey.
➤ Career & Placement Support
From resume crafting to interview prep and job placement – we help you land the right opportunity.
➤ Proven Track Record
Highly rated by learners and praised by industry experts – SkillMove is a name you can trust.
Modes - Generative AI Course in Hyderabad
Online Training
- Virtual Learning Sessions
- Daily Session Recordings
- Instructor Support
- Interactive Webinars
- Digital Learning Modules
- Online Practical Labs
- Flexible Learning Schedules
Corporate Training
- Customized Training Programs
- Daily Recordings
- Interactive Team Development
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
Upskill Generative AI - GMB Testimonials
Generative AI Training in Hyderabad - Road Map
What is Generative AI ?
- Generative AI is a subfield of AI that can produce original literature, images, movies, music, and even code.
- It creates something entirely new by first identifying patterns in big datasets and then applying that knowledge.
- In contrast to conventional AI, it goes beyond mere analysis—it generates, providing results that are both unique and authentic.
- Generative AI models utilize advanced tools such as GANs and Transformers to comprehend and reproduce intricate data structures.
- Generative AI is present in various fields, such as writing, graphic design, music production, and video editing.
- It assists in generating content that appears and resonates as if crafted by humans, thereby conserving time and enhancing creativity.
- Industries such as marketing, education, entertainment, and gaming are leveraging Generative AI to create groundbreaking solutions.
- It raises significant questions regarding creativity, ownership, and the ethical utilization of content generated by AI.
- For everyone interested in the future of digital innovation, generative AI is quickly becoming a must-know technology.
- Are you looking to learn from genuine industry professionals? Upskill Generative Ai is the ideal option to begin your journey.
Generative AI Training in Hyderabad - Learning Objectives
- Our Generative AI Training Program in Hyderabad is designed to equip you with cutting-edge knowledge and practical skills to thrive in the world of artificial intelligence. By the end of this course, you’ll have a solid understanding of how Generative AI works and how to apply it effectively in real-world scenarios.
- You will explore the core concepts of Generative AI and understand how it differs from traditional AI models. Through hands-on training, you’ll learn to work with leading technologies like GANs (Generative Adversarial Networks) and Transformers, which power today’s most advanced AI applications.
- This course will teach you how to generate creative content—from text and images to music and videos—using Generative AI tools. You’ll also gain insights into how AI models analyze existing data to create new and original outputs.
- You’ll dive into practical use cases across industries such as entertainment, marketing, design, and healthcare, giving you the confidence to integrate Generative AI into your own projects or career path.
- Throughout the program, we’ll address ethical considerations and real-world challenges in AI-generated content. You’ll also work on industry-relevant projects that showcase your creativity, critical thinking, and ability to innovate.
- Gain a strong understanding of Generative AI fundamentals and how it differs from traditional AI.
- Learn about key generative models like GANs, VAEs, and autoregressive models.
- Get hands-on experience with TensorFlow and PyTorch for building generative models.
- Train and fine-tune models using real-world datasets for practical applications.
- Generate high-quality images, apply artistic style transfer, and execute image-to-image transformation techniques.
- Explore how Generative AI is used in natural language processing for tasks such as text generation, content summarization, and language conversion
- Understand the ethical and responsible use of Generative AI, including bias and content control.
- Explore how Generative AI is used in industries like healthcare, finance, art, entertainment, and marketing.
- Collaborate on team-based real-time projects to apply skills in practical scenarios.
Generative AI Training Institute in Hyderabad - Course Overview
The Generative AI Course in Hyderabad at Upskill Generative AI is designed to help you gain the essential skills needed to start a career in the exciting field of Generative AI. This course covers the fundamentals of AI content creation, deep learning models, and real-world applications in text, images, audio, and more.
You’ll learn what Generative AI is, how it works, and how it’s used across different industries to create intelligent, original content. The course includes hands-on projects where you’ll train and fine-tune generative models using tools like GANs, Transformers, and popular frameworks such as TensorFlow and PyTorch.
By the end of the program, you’ll be equipped to work on Generative AI projects or apply for roles in AI development, content automation, and machine learning—supporting businesses in innovating faster with AI-powered solutions.
Aspiring AI Professionals
Perfect for those who want to start a career in AI, especially in roles like AI Developer, Machine Learning Engineer, or AI Content Creator.
Beginners
No technical background? No problem. This course is beginner-friendly and designed for anyone interested in learning how AI creates content like text, images, and videos.
IT Professionals
Ideal for those already working in IT who want to move into the fast-growing field of Artificial Intelligence and explore new career paths.
Creative and Tech Enthusiasts
Great for people who enjoy technology, creativity, and innovation, and want to explore how AI can help in content creation and automation.
Career Switchers
If you’re from a non-technical field and looking to reskill or start fresh in a future-focused domain, this course will guide you step-by-step into the world of Generative AI.
Generative Ai Training In Hyderabad - Trainer
Ms. Iqra Fathima
- Ms. Iqra Fathima is a highly accomplished Lead Data Scientist and Generative AI Specialist, with deep expertise in Prompt Engineering and advanced Large Language Models (LLMs) like LLaMA 2.
With over 7 years of real-world experience in data science, she excels in predictive modeling, data preprocessing, natural language processing (NLP), and machine learning. Her commitment to teaching and innovation has made her one of the most respected mentors at UpskillGenerativeAI.
At our center, Ms. Iqra leads hands-on sessions and real-time project implementations, empowering learners to gain practical experience in the latest Generative AI applications. Her training style simplifies even the most complex AI topics, helping students confidently build careers in the AI and Data Science industries.
Under her mentorship, students have consistently achieved top certifications, created impactful AI solutions, and landed roles at top-tier tech companies — making her a driving force behind our learners’ success.
Our Features At Generative AI Online Training
90 Hours Course Duration
100% Job Assistance
Industry Expert Trainers
Completed 7+ Batches
Free Demo Class Available
Certification Guidance
Pre - Requisites to Attend Generative AI Course
No advanced background? No worries! This course is made for beginners. However, having the following basic knowledge will improve your learning experience
Programming Knowledge
Basic understanding of Python is essential to build, train, and implement generative models effectively.
Mathematics Fundamentals
Familiarity with algebra, probability, and calculus helps in grasping how generative models work at a deeper level.
Machine Learning Basics
Knowledge of core ML concepts like supervised, unsupervised learning, and neural networks provides a strong foundation.
Data Handling Skills
Ability to work with data using tools like Pandas or NumPy is useful for preprocessing and feeding data to models.
Deep Learning Awareness
Basic understanding of deep learning concepts, especially neural networks, accelerates learning in advanced AI topics.
Analytical Thinking
Critical and logical thinking skills are valuable for designing, evaluating, and improving generative models.
Optional Tools Familiarity
Experience with libraries like TensorFlow, PyTorch, or visualization tools like Matplotlib can enhance learning.
Communication Skills
The ability to interpret and present results clearly is important for sharing AI model outputs and insights.
Generative Ai Training in Hyderabad - Course Outline
Generative AI is revolutionizing industries by enabling machines to create text, images, code, and more. It’s widely used in sectors like finance, healthcare, media, and retail to drive innovation, automate tasks, and enhance user experiences.
Start by setting up foundational tools and environments for working with Generative AI. Learn how to configure and use platforms like Python, Jupyter, or AI development environments such as Google Colab. Get hands-on with popular libraries like OpenAI, Hugging Face Transformers, and LangChain.
Understand how Generative AI models work by exploring data flows and pipelines. Learn how text, image, or code prompts are processed by models like GPT, DALL·E, or Stable Diffusion. Master how to fine-tune models, apply prompt engineering, and build reusable components for scalable AI solutions.
Dive into the core mechanics of generative models. Explore architectures such as Transformers, GANs, and VAEs. Learn how to optimize generation through sampling techniques, handle hallucinations, and use memory-efficient methods for large-scale inference.
Leverage model management and MLOps tools to efficiently track, version, and monitor Generative AI models. Gain hands-on experience with platforms like Weights & Biases, MLflow, and Vertex AI to manage metadata, evaluate performance, and maintain model lifecycle.
Build real-time AI applications using Generative AI. Learn to integrate models into live systems via APIs or SDKs. Develop real-time chatbots, content engines, or recommendation systems, and deploy them across cloud or edge environments with automation and monitoring.
Generative AI Training in Hyderabad
What's the use of Generative AI?
Content Creation
Generate high-quality blogs, articles, product descriptions, emails, and marketing copy at scale with human-like fluency.
Visual Art & Design
Create original illustrations, logos, graphics, and digital art from simple text prompts—perfect for branding and creative industries.
Video Generation & Editing
Produce AI-generated videos, avatars, and animations. Automate editing, add effects, or convert scripts into visual content.
Music & Voice Generation
Compose music, generate soundtracks, or clone voices for podcasts, ads, and games using AI-powered audio synthesis.
Conversational AI & Chatbots
Build smart, responsive assistants and customer support bots that understand context and deliver natural interactions.
Code Generation & Automation
Speed up software development by generating code snippets, automating testing, and assisting with documentation.
Education & Personalized Learning
Generate quizzes, summaries, flashcards, and tailored lesson content to support learners and educators.
Marketing & Personalization
Craft targeted messages, dynamic ad copy, and personalized product recommendations based on user behavior and preferences.
Artificial Data & Scenario Testing
Generate fake but realistic data to help train AI systems and test how they perform in different situations.
Gaming & Interactive Content
Design characters, storylines, and game worlds with generative tools that adapt and evolve during gameplay.
Where is Generative AI Used?
➤ Corporate & Business Intelligence
Generative AI simplifies business tasks by creating reports and presentations, supporting teams with smart assistants, and predicting trends in sales, marketing, and customer behavior to improve decision-making.
➤ Media, Gaming & Entertainment
Generative AI is used to create game environments, characters, and stories, produce realistic videos with deepfake tech, and generate voiceovers or dubbing in different languages.
➤ Retail & E-Commerce
Generative AI can create product names, descriptions, and SEO content, design visuals for ads, and offer personalized shopping and suggestions to each customer.
➤ Banking, Finance & Insurance
Generative AI helps in finance by spotting fraud through data patterns, creating quick summaries of portfolios and reports, and producing sample financial data for training without risking real user information.
➤ Marketing & Advertising
Generative AI helps marketers by automatically creating ads, banners, and captions, testing which content works best, and personalizing campaigns using customer data.
➤ Software & App Development
Generative AI helps developers write code using simple prompts, quickly create app designs and prototypes, and automate repetitive coding tasks to save time.
Who should learn Generative AI
➤ Software Developers & Engineers
Generative AI helps automate code writing, streamline development workflows, and speed up UI prototyping, making it ideal for developers looking to build smart, efficient apps.
➤ Data Engineers & Analysts
Professionals working with data pipelines can use Generative AI to automate data generation, transformation, and analysis for more powerful insights and efficient data handling.
➤ Students & Career Switchers
Those new to AI or transitioning from IT fields can start with Generative AI tools that offer visual interfaces and reusable components for easier learning and faster results.
➤ AI & ML Enthusiasts
If you already understand ML basics, learning Generative AI (like GANs and Transformers) expands your skillset and unlocks opportunities in next-gen AI innovation.
➤ Business & Innovation Leaders
Executives in marketing, media, or tech can use Generative AI to enhance content creation, product development, and customer engagement through automation and insights.
Companies That Hired From Upskill Generative AI
Generative AI Trends
✅ Industry-Wide Adoption
Sectors like entertainment, healthcare, finance, e-commerce, and education are using generative models to personalize content, simulate real-world scenarios, and enhance user engagement.
✅ Rising Market Demand
The demand for Generative AI solutions is growing rapidly as companies across sectors adopt it to boost innovation, automate creative tasks, and deliver unique user experiences.
✅ Breakthroughs in AI Models
Technologies like GANs and Transformers (used in tools like ChatGPT, Midjourney, and DALL·E) are pushing the boundaries of what AI can generate — from hyper-realistic images to complex dialogues.
✅ Creativity Meets Automation
In design, fashion,and digital art, creators are using generative tools to explore bold ideas, automate repetitive processes, and bring concepts to life faster than ever.
✅ Data Science & AI Augmentation
Generative modelsnow support data scientists in creating synthetic datasets for training, improving model performance, and handling data scarcity issues in machine learning.
✅ Job Growth & Skill Demand
As adoption rises, so does the need for talent. Companies are actively hiring professionals skilled in prompt engineering, deep learning, and generative model development.
✅ Increased Focus on AI Training
Training institutes are launching specialized Generative AI programs to bridge the talent gap. Courses now include hands-on projects, real-time use cases, and resume-ready experience.
✅ Ethical Use & Responsible AI
As AI-generated content becomes more common, businesses and governments are focusing on ethical guidelines to ensure transparency, avoid misuse, and build trust.
✅ Increased Focus on AI Training
With tools like ChatGPT, GitHub Copilot, and DALL·E becoming more user-friendly, individuals and startups are empowered to create without deep technical backgrounds — further accelerating growth.
Generative AI Training in Hyderabad - Certification
Get a step forward in your career with the Generative AI Training Certification at Upskill Generative AI.Gain the most in-demand skills and hands-on experience needed to become an expert in Generative AI, from prompt engineering to building real-world AI models — all in one powerful program.
At Upskill Generative AI, completing your training earns you an industry-recognized certification that reflects the expertise and dedication you’ve put into mastering Generative AI.
This certification, combined with your newly acquired skills in prompt engineering, model building, and real-time AI tools, gives you a competitive edge in today’s fast-evolving tech landscape.
Our hands-on training prepares you for job interviews with confidence, offering a strong foundation in both theory and practical application of Generative AI.
With your enhanced skills and certification, you’ll stand out to potential employers and clearly showcase your ability to contribute to AI-driven innovation.
As one of the top-rated institutes for Generative AI training in Hyderabad, we are committed to helping you unlock exciting career opportunities in AI, machine learning, and data science.
Our programs are designed to shape your future, equipping you with real-world experience and tools needed to build a successful career in the growing field of Generative AI.
Generative AI Salaries In Hyderabad
About Us
At Upskill Generative AI, our goal is to help you learn the most in-demand skills in Generative AI through practical, easy-to-follow training. Our courses are carefully created by experienced trainers who have worked on real AI projects in different industries.
We don’t just teach theory—we give you hands-on experience with powerful tools like ChatGPT, DALL·E, and other top Generative AI platforms. Whether it’s creating smart text, images, or code, you’ll learn how to build useful and creative AI solutions.
We know that every student learns differently. That’s why we provide personal mentorship, project-based learning, and flexible study options—both online and in the classroom—with access to the latest tools and technology.
At Upskill Generative AI, we focus on helping you grow and succeed in the fast-changing world of artificial intelligence.
Start your journey with us today and get ready for a great future in Generative AI! . Contact Us
Upskill Generative AI Placement Process
- At Upskill Generative AI, we are dedicated to helping learners build successful careers in the evolving field of Generative AI. Our placement program is carefully designed to support students at every stage of their journey toward employment.
- We begin by offering personalized career guidance to understand each student’s goals and align them with relevant opportunities in the industry. This ensures each student understands their direction and next steps.
- We help students create professional, well-structured resumes that highlight their skills and experience effectively, making a positive impression on recruiters and hiring managers.
- Interview preparation is a key focus of our program. We conduct mock interviews, provide feedback, and help candidates prepare for both technical and HR rounds so they can approach interviews with confidence.
- Upskill Generative AI also offers access to a strong network of hiring partners and leading tech companies.We organize job fairs, hiring drives, and networking sessions to help students engage directly with employers.
- Throughout the program, students gain practical work experience by participating in real-world projects and capstone assignments. This hands-on learning builds confidence and prepares them for workplace challenges.
- By the end of the program, learners are equipped with technical expertise, professional readiness, and the confidence to succeed. Our goal is to ensure every graduate is job-ready and positioned to secure rewarding roles in the competitive Generative AI job market.
Generative AI Course in Hyderabad
Capstone Projects You’ll Work On
Project 1: Intelligent FAQ Chatbot
Beginner Level
Develop an Intelligent FAQ Chatbot that delivers fast, accurate, and context-aware responses to common customer inquiries. This project emphasizes building a user-friendly AI assistant tailored for website or platform integration, designed to improve customer engagement and support efficiency. Learners will master fundamental AI programming and chatbot frameworks, making it perfect for beginners exploring conversational AI.
Project 2: Personalized Compliment Creator
Intermediate Level
Create a Personalized Compliment Creator using advanced natural language understanding techniques to generate unique, heartfelt compliments that uplift and inspire. This tool is ideal for both personal use and enhancing brand voice, using AI to adapt compliments based on user input or sentiment, thereby creating a motivating and engaging experience.
Project 3: Smart Article Summarization Tool
Intermediate Level
Build a Smart Article Summarization Tool that leverages cutting-edge NLP models to transform lengthy articles into concise, digestible summaries. Designed for busy professionals and students, this project focuses on information extraction techniques and summarization algorithms, helping users quickly grasp key insights from vast textual data.
Project 4: Email Composition Assistant
Advanced Level
Develop an AI-powered Email Composition Assistant that predicts and suggests sentence completions and responses to streamline email writing. This tool enhances communication productivity by offering context-aware phrase suggestions and error corrections, revolutionizing business correspondence and daily communication workflows.
Project 5: Dynamic Narrative Generator
Advanced Level
Create a Dynamic Narrative Generator that crafts personalized, interactive stories responding to user choices in real time. This project integrates sophisticated AI algorithms to ensure engaging, variable storylines, providing innovative applications in entertainment, education, and creative writing.
Project 6: MDST
Advanced Level
Construct a Multilingual Document Summarizer and Translator that swiftly converts complex documents into easy-to-understand summaries while supporting real-time translations across multiple languages. This solution is designed to facilitate seamless communication in global business environments and multilingual settings, leveraging advanced AI translation and summarization models.
Project 7: AI - PCSA
Intermediate Level
Develop an AI-Powered Customer Sentiment Analyzer that processes social media posts, reviews, and feedback to gauge customer emotions and opinions. This project combines sentiment analysis techniques with natural language processing to deliver actionable insights for marketing and customer service teams, enabling more responsive and customer-centric strategies.
Project 8: Automated Code Generation Assistant
Advanced Level
Develop an AI-powered Email Composition Assistant that predicts and suggests sentence completions and responses to streamline email writing. This tool enhances communication productivity by offering context-aware phrase suggestions and error corrections, revolutionizing business correspondence and daily communication workflows.
Project 9: AI-DVCG
Advanced Level
Build an AI-Driven Visual Content Generator using generative models such as GANs and diffusion models to create unique images, graphics, and art pieces based on textual prompts. This project enables users to explore creative AI applications in design, marketing, and social media, unlocking new possibilities for automated and customizable visual content creation.
Advantages of Learning Generative AI Course
Boosts Creativity and Innovation
Generative AI inspires creative thinking by generating fresh ideas, concepts, and designs. Whether you’re into product design, marketing, content creation, or digital art, AI can help overcome creative blocks and open up new possibilities.
Increases Productivity and Efficiency
From writing content and code to designing visuals, Generative AI automates repetitive tasks. This frees up your time to focus on strategic and high-impact work — improving productivity across industries like tech, media, education, and design.
Unlocks Career Opportunities
The demand for skilled professionals in Generative AI is growing fast. By mastering skills like machine learning, data analysis, and prompt engineering, you position yourself for high-paying roles in cutting-edge industries. This course can also help you transition into roles such as AI Engineer, Prompt Engineer, ML Developer, or AI Product Manager.
Enables Personalized Learning Experiences
Generative AI adapts to different learning styles, making education more engaging and effective. Whether you’re a beginner or an advanced learner, AI-driven tools can customize content for better retention and understanding.
Powers Smart Content Creation
Create high-quality, relevant, and personalized content for marketing, education, or entertainment. AI-generated content improves engagement and drives better results, making it a game-changer for content creators and digital marketers.
Helps Overcome Data Limitations
Generative AI can synthesize data and build realistic simulations even when datasets are limited. This makes it a valuable tool in industries like healthcare, drug discovery, scientific research, and finance.
Skills Developed After Generative ai Course
Machine Learning & Deep Learning Foundations :
Understand how machines learn from data and get better over time using simple learning methods.
Data Analysis & Visualization :
Explore data, find patterns, and use charts to show results clearly using tools like Matplotlib and Seaborn.
Natural Language Processing (NLP) :
Learn how AI reads and writes human language to build tools like chatbots and content makers.
Programming with Python :
Learn to write Python code and use tools like NumPy, Pandas, and Matplotlib to build and test AI models.
Computer Vision :
Discover how AI sees and understands images and videos for tasks like object detection and face recognition.
Working with Generative AI Tools :
Try tools like ChatGPT, DALL·E, and RunwayML to create text, images, and more with hands-on use.
Prompt Engineering :
Learn to give clear instructions (prompts) to get better answers or results from AI tools.
Ethical AI & Responsible Deployment :
Understand AI safety, privacy, and how to spot fake or biased content in AI use.
AI Literacy & Domain Knowledge :
See how AI is used in fields like health, money, education, and news, and what’s coming next.
Creativity & Problem Solving :
Use AI to get ideas, speed up creative work, and solve real problems in new ways.
Collaboration & Communication Skills :
Work with others on AI tasks and explain your work in a simple way anyone can understand.
Tools covered in Generative AI Training in Hyderabad
In our Generative AI training, students get hands-on experience with top industry tools used to build and manage AI models. You’ll learn by doing real projects, helping you understand how these tools work and preparing you for future career opportunities.
Chroma
Chroma is a tool that helps AI remember and find similar content using meanings, making chatbots and AI answers smarter and more relevant.
PyTorch
A popular tool to build and train AI models easily, used by researchers and developers for deep learning tasks.
OpenAI
An AI research company known for creating powerful tools like ChatGPT and APIs that help build smart AI systems.
Hugging Face
A platform offering free AI models, tools, and datasets, great for building chatbots, text AI, and more.
Jupyter Notebooks
An easy-to-use notebook for writing and running Python code, widely used for AI, data science, and teaching.
NVIDIA CUDA
Makes fast computer chips (GPUs) that power AI, gaming, and deep learning projects across the world.
Google Colab
A free online notebook that lets you write and run Python code using Google’s cloud, great for learning and AI projects.
Docker
Helps package and run apps the same way anywhere, useful for deploying AI projects easily and safely.
Keras
A beginner-friendly tool to build AI models on top of TensorFlow, good for learning deep learning fast.
Career Opportunities on generative ai
Generative AI Engineer
Builds and fine-tunes AI models like GPT and DALL·E to solve real-world problems in text, image, and audio generation.
Prompt Engineer
Creates effective prompts to guide AI tools like ChatGPT, ensuring relevant, accurate, and creative AI outputs.
AI/ML Developer
Develops intelligent applications using machine learning and deep learning frameworks to power automation and analytics.
Data Scientist / AI Analyst
Designs data-driven solutions by leveraging machine learning, deep learning, and statistical analysis to uncover insights, drive decision-making, and power intelligent automation.
NLP Engineer
Designs intelligent language-driven applications using NLP techniques, machine learning, and deep learning frameworks to enable automation, text analytics, and human-like language understanding.
Computer Vision Engineer
Develops intelligent applications using computer vision, machine learning, and deep learning frameworks to enable visual recognition, object detection, and image/video analysis for automation and data insights.
AI Product Manager
Drives the development and strategy of intelligent AI-powered products by aligning machine learning and deep learning capabilities with user needs, business goals, and market opportunities.
AI Research Assistant
Conducts advanced research and develops intelligent systems using machine learning and deep learning frameworks to enhance AI-driven insights, automation, and decision-making.
Frequently Asked Questions
What is Generative AI, and why should you take a course at Upskill Generative AI?
- Generative AI uses data to produce text, images, and code. It powers tools like ChatGPT and DALL·E, driving innovation and reshaping industries across the globe.
Why should you enroll in a Generative AI online course?
- An online Generative AI course offers the flexibility to learn from anywhere, while still providing hands-on projects, expert mentorship, and placement support. Whether you’re a student, working professional, or career switcher, it’s a convenient way to build in-demand AI skills and unlock exciting job opportunities—no matter your location
What are the prerequisites for learning Generative AI?
- Basic understanding of computers is enough. No prior coding or AI knowledge is required to get started.
Do I need a technical background to enroll in the Generative AI Online Training ?
- No, the course is beginner-friendly and includes foundational concepts, tools, and projects for all learners.
What topics are covered in the Generative AI training syllabus?
- You’ll learn ML basics, prompt engineering, NLP, image generation, hands-on tools, ethics, and real-time projects
How is Generative AI different from traditional AI?
- Traditional AI analyzes data, while Generative AI creates new content like images, code, or conversations.
What tools and technologies are used in Generative A OnlineI training?
- We use ChatGPT, DALL·E, Midjourney, RunwayML, Python, and more to give real-world project experience.
Is this Generative AI Course available online?
- Yes, we offer flexible online and hybrid batches with live classes, recordings, and mentor support.
How long does the Generative AI training last?
- The course typically lasts 8 to 10 weeks with weekend and weekday batch options available.
Are there hands-on projects included in the Generative AI Online course?
- Yes, you’ll build real-world AI projects like content generators, image creators, and chatbot