Generative Ai Training in Hyderabad
- Expert Trainer with 5+ years of Experience
- Life Time Access to Class Recordings
- Mock Interviews + Interview Questions
- Interview Guidance Till You Are Placed
Generative Ai Training in Hyderabad (Online Course)
Next batch Details
| Trainer Name | Mr. Raja (Certified Trainer) |
| Trainer Experience | 5+ Years |
| Course Duration | 6 Months |
| Timings | Monday to Friday (Morning to Evening) |
| Next Batch Date | 27th February 2024; 09:00 AM |
| Training Modes | Online / Offline |
| Call us at: | +91 95050 07755 |
| Email us at: | info@lampinstitute.in |
| Demo Class Details: | ENROLL FOR A FREE DEMO CLASS |
Generative Ai Training in Hyderabad
Course Topics
1.1 Understanding Generative AI
- Definition and Purpose
- Applications in Various Industries
1.2 Historical Overview
- Evolution of Generative Models
- Milestones and Breakthroughs
2.1 Recap of Machine Learning Basics
- Supervised Learning, Unsupervised Learning, Reinforcement Learning
2.2 Probability and Statistics for Generative Models
- Probability Distributions
- Statistical Concepts in Generative AI
3.1 Neural Networks
- Structure and Architecture
- Activation Functions
3.2 Training Neural Networks
- Backpropagation
- Optimization Algorithms
4.1 Introduction to Generative Models
- Discriminative vs. Generative Models
- Types of Generative Models
4.2 Autoencoders
- Structure and Training
- Applications
4.3 Variational Autoencoders (VAEs)
- Probabilistic Approach
- Latent Space Representation
5.1 GAN Architecture
- Generator and Discriminator
- Training GANs
5.2 Applications of GANs
- Image Generation
- Style Transfer
6.1 Recurrent Neural Networks (RNNs)
- Sequential Data Modeling
- Challenges and Limitations
6.2 Long Short-Term Memory (LSTM) Networks
- Memory in Sequential Models
- Applications in Generative AI
7.1 Introduction to NLP
- Tokenization and Word Embeddings
7.2 Text Generation Models
- LSTM-based Text Generation
- Transformer Models for Text Generation
8.1 Attention Mechanisms
- Significance in Generative Models
- Transformer Architecture
8.2 Transfer Learning in Generative AI
- Pre-trained Models
- Fine-tuning for Specific Tasks
9.1 Ethical Challenges in AI
- Bias, Fairness, and Accountability
- Real-world Implications
9.2 Mitigating Bias in Generative Models
- Strategies and Best Practices
10.1 Real-world Application
- Students will work on a generative AI project, applying the concepts learned throughout the course.
10.2 Project Presentation
Generative Ai Training in Hyderabad
Key Points
Customized Training Programs
The institute provides customized training programs for people and companies. These programs help participants learn useful skills and knowledge that are important for their specific areas of interest.
Expert Faculty
At Lamp Institute, the training for Generative AI is led by a group of experienced experts who have a lot of knowledge and practical experience in this field.
Practical Application Emphasis
The training focuses heavily on applying what’s learned in real situations. Participants get to work on actual projects and case studies, which helps them learn how to use generative AI in different situations.
Industry-Relevant Curriculum
The course content is created to match current trends and needs in the industry. This makes sure that participants learn skills and information that are directly useful in today’s fast-changing world of AI.
Hands-on Workshops and Labs
The institute hosts immersive workshops and lab sessions, immersing participants in hands-on experiences with cutting-edge generative AI tools and frameworks. This interactive approach elevates their capacity to autonomously deploy innovative solutions.
Continuous Learning Support
At Lamp Institute, we are committed to providing continuous support and valuable resources to our trainees. This includes access to up-to-date materials, engaging webinars, and interactive forums, ensuring that learning doesn’t stop after the formal training period ends. We believe in empowering our participants to keep growing and evolving in their knowledge of generative AI.
Certification Opportunities
Upon successful completion of the Generative AI training program at Lamp Institute, participants are awarded a prestigious certification. This certification not only validates their proficiency in the field but also boosts their credibility in the competitive job market or within their respective organizations.
Feedback and Assessment
Throughout the training, participants engage in regular feedback sessions and assessments to measure their progress and comprehension of generative AI concepts. This ongoing feedback loop enables learners to monitor their growth and pinpoint areas where they can enhance their understanding of the subject matter.
Lifetime Access to Resources
Students who complete Lamp Institute’s Generative AI training program have access to a collection of resources for life. This includes updated course materials, research papers, and tools. This continued access helps alumni stay up-to-date with the latest developments in the field.
What is Generative Ai?
Generative AI is a kind of artificial intelligence that makes new and original things instead of using things that already exist.
Generative AI helps machines create various things like pictures, words, or music without needing specific instructions for each one.
Generative AI models can make new and creative things on their own by studying patterns and structures in big sets of data.
Generative AI is used in different areas like art, design, and making content. It's a tool that helps create things automatically and with creativity.
Generative AI works by using probabilistic modeling. This means it can make things that look like the data it learned from during training.
Some well-known examples of generative AI include GANs (Generative Adversarial Networks) and language models like OpenAI's GPT series. These models have shown impressive abilities to create content that looks realistic and makes sense in different contexts.
Learning Objectives
- To fully understand how algorithms produce new data and generate realistic content, it's essential to grasp the fundamental concepts of Generative AI.
- Developing proficiency in programming languages and frameworks frequently utilized in Generative AI is essential for effectively implementing and experimenting with these techniques in practice.
- Enhance your capability to assess and select suitable models for various generative tasks by considering factors such as data complexity and application needs.
- Obtain practical experience in training Generative AI models, adjusting parameters, and resolving common issues related to model convergence through hands-on practice.
- Delve into ethical considerations and potential societal impacts associated with Generative AI, promoting responsible and thoughtful utilization of the technology.
- Establish a groundwork for continuous learning by staying up to date of developments in Generative AI, ensuring readiness to adapt to evolving methodologies and emerging technologies.
Prerequisites
- Before joining the Generative AI training in Hyderabad, students should already know some basic things about machine learning concepts and algorithms.
- Before attending the Generative AI Training in Hyderabad, it's important for students to be familiar with programming languages like Python. This will help them effectively participate in the coding aspects of the training.
- It's suggested that students have some basic understanding of data analysis and statistics. This will help them understand the math behind generative AI models during the training.
- While not required, having some previous experience with AI frameworks and tools can improve students learning experience and readiness for the Generative AI training in Hyderabad.
Who Should Learn the course?
- If you're curious about how artificial intelligence can be creative and make new content, you should think about learning Generative AI.
- People in fields such as art, design, and making content who want to use AI to be more creative in their work can learn a lot from Generative AI.
- Programmers and developers who want to learn more and try out generative AI, a new and growing field, can benefit from this training.
- Data scientists and machine learning enthusiasts who want to improve their skills in making AI models that create different things should check out Generative AI.
- Professionals in industries like marketing, entertainment, and gaming, where unique and tailored content is important, can use Generative AI to come up with creative solutions.
- Students and researchers who are curious about the latest developments in artificial intelligence and how it's used in creative areas would benefit from studying Generative AI.
Course Outline
The course starts by introducing the basics of generative AI, giving participants a solid understanding of the fundamental principles behind it.
Students will dive into studying notable generative AI models like GANs (Generative Adversarial Networks) and examine how they're used in various areas.
During the training, students engage in hands-on sessions where they get practical experience in using popular frameworks like TensorFlow and PyTorch to implement generative AI algorithms.
The curriculum includes ethical considerations in generative AI development, highlighting the importance of using AI technologies responsibly and without bias.
The course teaches about getting data ready for training generative AI models by covering topics like preparing data and setting up features, which are important parts of the process.
Students will learn about advanced concepts like transfer learning and fine-tuning, which help them adjust pre-trained models for particular generative tasks.
The workshops concentrate on creating various kinds of content like images, text, and music. This helps students use what they've learned in real creative projects.
At the end of the course, students will receive a thorough summary of the latest trends and future directions in generative AI. This will give them valuable insights into how artificial intelligence is changing over time.
Course Overview
The Generative AI course offered by Lamp Institute In Hyderabad, you’ll explore artificial intelligence techniques that focus on making new and creative content. The program starts by introducing the basics of generative AI, giving you a strong foundation in how content is created automatically.
During the course, you’ll learn about important models like GANs (Generative Adversarial Networks) and get hands-on practice using popular frameworks like TensorFlow and PyTorch.
As you go further in the course, you’ll learn advanced topics like transfer learning and fine-tuning, which help you adjust pre-trained models for specific tasks. The workshops will focus on making different types of content, like pictures, words, and music, so you can use what you’ve learned in real projects.
Placement Program
In Hyderabad, Lamp Institute provides a complete placement program for students studying Generative AI. The program helps students move from training to finding a job successfully. It includes sessions on career guidance, workshops to improve resumes, and practice interviews to get ready for job hunting.
Lamp Institute uses its connections in the industry to help students find internships and starting jobs. The placement program helps students show off the skills and knowledge they’ve learned, so they can start fulfilling careers in the exciting field of Generative AI.
- Generative AI Prompt Engineer
- Generative AI Engineer
- Generative AI / ML Engineer
- Generative AI Lead/Architect
- Consultant / Senior Consultant - Generative AI
Modes of Training
Online Training
- Interactive video lectures
- Hands-on exercises and assignments
- Access to online learning materials and resources
- Personalized feedback from instructors
- Global Reach
- Hands-on exercises and assignments
Self-Paced Videos
- On-demand Learning
- Flexible 24/7 Availability
- Multimedia Content
- Self-assessment
- Daily Class Recordings
- Live Projects
Corporate Training
- Customized Programs
- On-site or Virtual Options
- Live Projects
- Daily Class recordings
- Team-building Exercises
- Industry Experts
Career Opportunities
01
Generative AI Researcher
Participate in cutting-edge research to push the boundaries of generative AI, creating new algorithms and models that improve content creation.
02
AI Engineer
Execute and deploy generative AI models, focusing on their practical use in tasks like generating images, synthesizing text, and producing creative content.
03
Data Scientist - Generative AI:
Analyze and prepare datasets for training generative AI models, making sure the data is of high quality and relevant to achieve the best performance from the models.
04
Machine Learning Developer
Specialize in creating machine learning solutions, particularly focusing on generative models, and contribute to integrating AI technologies into different applications.
05
Creative Technologist
Combine technical skills with creativity, using generative AI to bring innovation to areas like digital art, interactive installations, and immersive experiences.
06
AI Solutions Architect:
Create and put into action complete generative AI solutions, tackling particular business or creative problems by working with teams that have different areas of expertise.
07
Product Manager - AI
Manage the creation of generative AI products, from idea to release, making sure they meet user needs and match current market trends.
08
Content Generation Specialist
Concentrate on using generative AI to automate and improve content creation processes, whether it’s in marketing, advertising, or the entertainment industries.
09
AI Consultant
Offer expert advice to companies on how to use generative AI technologies, including suggestions on the best ways to use them and how to put them into action.
10
AI Ethicist:
Understand and address the ethical aspects of using generative AI, helping to develop it responsibly and making sure it’s used fairly and without bias in different situations.
Skills Developed Post Generative Ai Training in Hyderabad
01
Proficiency in implementing generative AI algorithms using popular frameworks like TensorFlow and PyTorch.
05
Participation in hands-on workshops aimed at creating various types of content, such as images, text, and music.
02
Capability to examine and prepare datasets, ensuring the highest data quality for training generative AI models.
06
Skilled in using generative AI tools for real-world creative projects, with practical experience in content creation.
03
Awareness of ethical considerations in AI development, promoting a responsible and impartial approach to using generative AI applications.
07
Skill in keeping up with and contributing to the changing world of generative AI, staying updated on current trends and future directions in artificial intelligence.
04
Understanding advanced concepts like transfer learning and fine-tuning, allowing adjustment of pre-trained models for particular generative tasks.
08
Familiarity with industry-related skills like programming languages (e.g., Python), machine learning concepts, and data analysis, improving overall preparedness for using generative AI in professional environments.
Certifications
- Microsoft Certified: Azure AI Engineer Associate: This certification by Microsoft covers implementing machine learning models including generative models on the Azure cloud platform.
- IBM Data Science Professional Certificate: Offered on Coursera, this certificate program covers various aspects of data science, including machine learning and AI, which are essential for understanding and implementing generative models.
- Generative Design for Additive Manufacturing Certificate by Autodesk: This certificate program focuses on generative design techniques specifically tailored for additive manufacturing processes, which can be valuable in industrial settings.
- TensorFlow Developer Certificate: Offered by Google, this certification program covers a broad range of topics in TensorFlow, including building generative models using TensorFlow.
The Generative AI certification from Lamp Institute is really important in today’s tech world. It shows that someone knows a lot about using advanced artificial intelligence (AI) techniques. This certification proves they’re good at using tools like TensorFlow and PyTorch to make AI algorithms that create new things.
But it’s not just about being good with technology. This certification also shows they understand the ethical side of AI. That means they know how to use AI in a fair and responsible way.
Having this certification can make a big difference when looking for a job. It shows that someone is serious about AI and knows how to use it the right way. It’s a great way to stand out in the fast-changing field of AI.
Testimonials
Benefits of the Course
Enhanced Skill Set
Generative AI training equips participants with practical skills and knowledge, empowering them to apply advanced algorithms and models to generate creative content effectively.
Career Advancement:
Gaining proficiency in generative AI offers various career paths, ranging from AI engineering to creative technology, which present opportunities for professional advancement and specialization.
Innovation in Projects
Participants can introduce innovation into their projects by using generative AI techniques, adding a unique and creative element to content creation and problem-solving.
Competitive Edge
Having skills in generative AI gives a competitive advantage in job markets, as organizations are increasingly looking for professionals who can use AI for both creative and practical purposes.
Problem-Solving Aptitude
The ability to apply generative AI algorithms enhances problem-solving skills, allowing individuals to address complex challenges in various domains, from art and design to business and technology.
Responsibility in AI Deployment
Understanding ethical considerations in generative AI development ensures responsible and unbiased use of AI technologies, contributing to ethical and sustainable practices in the industry.
Market trend
01
Generative AI is experiencing a rising demand across industries, with applications ranging from creative content generation to personalized user experiences.
02
The market trend reflects an increased focus on integrating generative AI into mainstream technologies, including virtual reality, gaming, and digital marketing.
03
Growing investments and research initiatives in generative AI underscore its potential to revolutionize how businesses approach content creation and problem-solving.
04
The demand for professionals skilled in generative AI is on the rise, with companies actively seeking talent to harness the technology for competitive advantage.
05
Generative AI is driving innovations in fields like healthcare, finance, and entertainment, showcasing its versatility and potential for disruptive advancements.
06
The accessibility of generative AI frameworks and tools is contributing to a broader adoption, democratizing the technology and fostering a diverse range of applications.
07
Industry leaders are increasingly recognizing the strategic value of generative AI in enhancing customer engagement, product personalization, and overall user satisfaction.
08
The market trend suggests that generative AI will continue to be a driving force in technological advancements, shaping the future of AI applications across various domains.
Our Accomplishments
Frequently Asked Questions
Generative AI is a type of artificial intelligence that can create new and innovative content like images, music, or text.
fields.A. The Generative AI training course at Lamp Institute teaches the basics of generative models, deep learning architectures, and their applications in different
Yes, participants have lifetime access to the course materials.
Yes, the Generative AI training course is offered to both beginners and individuals with AI experience.
Basic knowledge of programming, machine learning, and proficiency in Python and TensorFlow or PyTorch is beneficial but not mandatory.
You will work on practical, hands-on projects that involve creating generative models for image, music, and text generation.
Yes, Lamp Institute will offer a certificate of completion to validate your skills and knowledge in Generative AI.
You can work on the course projects with low-computing resources. Lamp Institute provides guidelines on utilizing cloud-based platforms or pre-trained models.
Yes, Lamp Institute provides job placement assistance after completing the course.
Yes, Lamp Institute encourages a collaborative learning environment and provides platforms to interact with other participants.
