Generative Ai Training in Hyderabad
With
100% Placement Assistances
- Achieved a 90% placement success rate with over 100 students placed in Generative Ai.
- We offer internships, resume building, and mock interviews +Study Material.
- Prepare Python, SQL, Machine Learning, and AI from Scratch.
Become a Generative AI Expert
- ChatGPT / GPT-4 / DALL·E
- Midjourney
- Hugging Face Transformers
- Google Colab / Jupyter Notebook
- LangChain
- OpenAI API / Anthropic Claude
- Stable Diffusion
- Pinecone / FAISS (for vector databases)
WHY CHOOSE US?
4 Months Course
100% Practical & AI Integrated Business Analyst Course.
1 Month Internship
100% Practical & AI Integrated Business Analyst Course.
Excellent Training
100% Practical & AI Integrated Business Analyst Course.
1-on-1 Mentorship
100% Practical & AI Integrated Business Analyst Course.
Placement Assistance
100% Practical & AI Integrated Business Analyst Course.
30+ Modules
100% Practical & AI Integrated Business Analyst Course.
Live Project
100% Practical & AI Integrated Business Analyst Course.
Certifications
100% Practical & AI Integrated Business Analyst Course.
Generative Ai Training Course Curriculum (Syllabus)
Module 1: Introduction to Artificial Intelligence and Machine Learning
- Overview of AI and its Applications
- Understanding Machine Learning (ML): Supervised, Unsupervised, and Reinforcement Learning
- Key Algorithms and Models in AI
- AI in the Real World: Use Cases
Module 2: Fundamentals of Generative AI
- Introduction to Generative AI
- Difference Between Discriminative and Generative Models
- Types of Generative Models: GANs (Generative Adversarial Networks), Variational Autoencoders (VAEs), and Transformers
- Key Concepts: Latent Space, Model Training, Loss Functions
Module 3: Deep Learning for Generative Models
- Neural Networks Basics: Architecture, Activation Functions, and Backpropagation
- Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs): Theory, Architecture, and Applications
- Training GANs: Challenges, Stability, and Evaluation
Module 4: Working with Transformers and GPT Models
- Introduction to Transformers: Architecture and Working Principle
- GPT Models: Exploring GPT-3, GPT-4, and OpenAI’s Role in Generative AI
- Applications of GPT Models: Text Generation, Text Completion, and Language Translation
Module 5: Exploring DALL·E and Image Generation Models
- Understanding DALL·E: AI for Image Generation from Text Prompts
- Working with CLIP (Contrastive Language-Image Pre-training)
- Applications of DALL·E: Art, Marketing, and E-Commerce
- Hands-On Project: Image Generation using DALL·E
Module 6: Natural Language Processing (NLP) for Generative AI
- Introduction to NLP: Text Processing, Tokenization, and Named Entity Recognition (NER)
- Transformers in NLP: BERT, T5, and GPT
- Generating Text with AI: From Summarization to Creative Writing
- Hands-On Project: Build a Text Generation Model
Module 7: Real-World Applications of Generative AI
- AI in Healthcare: Drug Discovery, Diagnostics, and Personalized Medicine
- AI in Marketing: Content Creation, Personalized Recommendations
- AI in Art and Entertainment: Music, Video, and Visual Arts
- Ethical Considerations in Generative AI
Module 8: Tools and Frameworks for Generative AI
- Overview of AI Development Tools: TensorFlow, PyTorch, Keras
- Using Hugging Face for NLP Models
- Deploying AI Models on Cloud Platforms: AWS, Google Cloud, Azure
- Hands-On Project: Build and Deploy a Generative AI Model
Module 9: Capstone Project & Portfolio Development
- Project Work: Apply your knowledge to create a full-fledged generative AI model
- Portfolio Building: Showcase your skills with industry-relevant projects
- Final Presentation: Present your project and receive feedback from industry experts
Module 10: Career Support and Interview Preparation
- Building a Strong AI Resume
- Interview Techniques: AI & Data Science Roles
- Job Placement Assistance: Networking with top AI recruiters
Post-Course Support: Continued mentorship and learning
What is Generative AI?
- Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, music, and even videos, based on the data it has learned from. Unlike traditional AI, which focuses on making decisions or classifying information, Generative AI has the ability to generate original and creative outputs.
- For example, Generative AI can create realistic images from text descriptions (like DALL·E), write stories, or produce music by learning from patterns in the data. This technology is revolutionizing industries such as entertainment, marketing, healthcare, and design by providing new ways to automate creative tasks.
Generative AI works by training on vast amounts of data, learning from patterns, and then using that knowledge to generate something new. Some common Generative AI models include:
- GPT (Generative Pre-trained Transformer): Generates human-like text and can be used for writing, conversation, and more.
- GANs (Generative Adversarial Networks): Creates realistic images, audio, and video.
- VAEs (Variational Autoencoders): Used for generating images, texts, and other complex data.
In essence, Generative AI allows machines to be creative, providing endless possibilities for content creation and problem-solving across industries.
Job opportunities (Careers) in Generative
Ai Training in Hyderabad
AI Research Scientist
As an AI Research Scientist, you’ll be at the forefront of creating innovative AI models and algorithms. With a strong understanding of Generative AI, you’ll contribute to advancements in AI by developing new techniques that improve how machines generate content, images, and even text.
Data Scientist
Data Scientists analyze large sets of data to extract meaningful insights. With Generative AI skills, you’ll be able to create advanced models that generate data and predict trends, enhancing your ability to solve complex business problems.
Machine Learning Engineer
If you’re in the creative industry, Generative AI can supercharge your work. From generating unique designs to creating engaging content, this skill can help artists, graphic designers, and marketers stay ahead of trends.
AI Developer
AI Developers work on building and deploying AI applications. By learning Generative AI, you’ll be able to create apps that use AI for creative purposes, such as AI art generation, chatbots, and content creation tools.
AI Consultant
As an AI Consultant, you’ll advise businesses on how to integrate Generative AI into their operations to enhance productivity and innovation. Your role will involve helping companies choose the right AI technologies and develop custom solutions to meet their needs.
Natural Language Processing (NLP) Engineer
For those interested in working with text and language, NLP Engineers focus on making machines understand and generate human language. With knowledge of Generative AI, you can help improve chatbots, virtual assistants, and automated content creation systems.
AI Product Manager
As an AI Product Manager, you’ll oversee the development and launch of AI-driven products. Understanding Generative AI will allow you to work closely with teams to create innovative solutions that leverage AI to solve real-world problems.
Creative AI Specialist
If you're interested in the creative side of Generative AI, this role will have you working with AI to generate artwork, music, and more. Companies in fields like entertainment and marketing are looking for professionals who can use Generative AI for creative applications.
Tools Covered in Data Science course
Generative Ai Training Certification
and Internship Certificate
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Student Testimonials
Generative AI Training in Hyderabad
“I enrolled in the Generative AI Training in Hyderabad at Minted Minds to enhance my AI skills. The Generative AI Course in Hyderabad covered everything I needed, from understanding the basics to mastering advanced models like GANs and VAEs. The trainers provided excellent guidance, and the hands-on sessions helped me gain practical experience. After completing the course, I felt confident to apply for AI-related roles, and the 100% placement assistance helped me land a job at a top tech company!”
Ravi Kumar
“The Generative AI Online Course in Hyderabad offered by Minted Minds exceeded my expectations. The Generative AI Certification I received helped me advance in my career. The course syllabus was comprehensive, and I gained solid knowledge of AI tools and techniques, including deep learning and neural networks. The course also included industry-relevant projects that gave me hands-on experience, which is crucial for a real-world AI role.”
Anusha
“I was looking for a solid foundation in Generative AI, and the Generative AI Classes in Hyderabad at Minted Minds gave me just that. The Generative AI Course was structured well, and I appreciated the balance between theory and practical implementation. I opted for the Generative AI Offline Course in Hyderabad, and the in-person sessions allowed for direct interaction with trainers, making the learning process even more enriching. Highly recommended!”
Triveni
“The Generative AI Training I completed at Minted Minds helped me shift from a traditional data analysis role to a more advanced AI-focused position. The trainers at the Generative AI Institute in Hyderabad were experts, and their real-world insights made all the difference. I also had the flexibility of choosing between online and offline courses, which made it easier for me to balance work and studies.”
Sameer
“Minted Minds’ AI Training in Hyderabad gave me the skills I needed to dive deeper into the world of Generative AI. The Generative AI Classes were comprehensive and covered a wide range of topics, from machine learning fundamentals to cloud deployment for AI models. The hands-on training was invaluable, and I’m now equipped to pursue research and development in this exciting field.”
Usha
“What I loved about the Generative AI Training in Hyderabad was its industry-relevant approach. The Generative AI Course included real-world projects, and I was able to apply Generative AI to practical problems like data generation and content creation. After completing the training, I received excellent placement assistance, and I secured a job with a leading AI company within a few weeks!”
Shirisha
Generative Ai Training in Hyderabad
Frequently Asked Questions
1. What is Generative AI?
Generative AI is a branch of artificial intelligence that creates new data or content, such as images, text, and music, by learning patterns from existing data.
2. Why should I take Generative AI Training in Hyderabad?
Hyderabad is a hub for tech and AI innovation. This training will equip you with in-demand skills, enhance your career prospects, and help you stay ahead in the fast-evolving AI landscape.
3. Do I need a technical background to enroll in the Generative AI Course in Hyderabad?
No, you don’t need a technical background. Our course starts with the basics and gradually progresses to advanced topics, making it suitable for beginners and professionals alike.
4. What are the career prospects after completing Generative AI Training in Hyderabad?
Generative AI professionals are in high demand. Career opportunities include roles like AI Developer, Data Scientist, Machine Learning Engineer, and AI Consultant.
5. Is this Generative AI Training available online?
Yes, we offer flexible learning options, including online and offline classes. You can choose the mode that best fits your schedule.
6. How long does the Generative AI Training course last?
The course duration typically ranges from 4 to 8 weeks, depending on the batch type and pace of learning.
7. What kind of salary can I expect after completing the Generative AI course?
Salaries for Generative AI professionals can range from ₹6 LPA to ₹25 LPA, depending on your experience, skills, and the industry.
8. What industries use Generative AI?
Generative AI is widely used in healthcare, finance, marketing, entertainment, and e-commerce to automate tasks, create personalized content, and solve complex problems.
9. What is covered in the Generative AI Training curriculum?
The course includes topics like Machine Learning basics, Deep Learning, NLP, GANs, GPT, DALL·E, and hands-on projects with tools like TensorFlow and PyTorch.
10. How hands-on is the training?
Our training is highly practical, with live projects and real-world applications to ensure you gain industry-relevant skills.