Generative AI Course in Hyderabad
Master Generative AI, ChatGPT & Prompt Engineering in India’s Top Course | Industry-Aligned Curriculum | Expert-Led Training | Job Assistance.
- 350 + Students Enrolled
- 120+ Duration
Generative AI Course In Hyderabad
Curriculum
- Python basics- installations, IDE’s, Virtual env,
- Probability and Statistics
- Linear algebra
- Python Libraries – Numpy, Pandas, Scikit learn, Matplotlib and Seaborn, and other libraries
- Data Preprocessing and Advanced concepts required for GenAI
- AI vs ML vs Generative AI
- What is Machine learning in Generative AI
- Supervised Machine learning with GenAI
- Unsupervised Machine learning with GenAI
- Semi-supervised learning and Reinforcement
- Self-supervised learning in GenAI
- Reinforcement learning with Human feedback
- Introduction to Generative AI
- Generative AI principles
- Types of GenAI models
- Applications in various domains
- Ethical considerations
- NLP essentials
- Basic NLP tasks
- Tokenization, Stemming, Lemmatization, Lower casing, Removing punctuations
- Word embeddings
- Word2Vec
- Glove
- FastText
- BERT
- ELMo
- 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
- 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
- What are Vectors?
- What are Vector Databases?
- Why do we need Vector databases?
- Applications of Vector databases?
- Different types of Vector databases – Cloud-based, Open-source Vector database
- Cloud-based – Pinecone, Amazon Neptune with Vector Extensions, Azure Cosmos DB with Vector Search
- Opensource: Milvus, Chroma and Faiss
- Introduction to Responsible AI
- Defining Responsible AI
- Importance in the Current Technological Landscape
- Ethical Foundations and Principles
- Key Ethical Principles (Fairness, Accountability, Transparency)
- Understanding and Mitigating Bias in AI
- Identifying Sources of Bias in AI Systems
- Strategies for Mitigating Bias
- Legal and Regulatory Framework
- Transparency and Explainability in AI
- AI Privacy and Security Considerations
- Implementing Responsible AI Practices
- Overview of LLM and Foundational ModelsArchitecture of Large Language Models
- Text AI LLMs (GPT-3, GPT-3.5, GPT-4, GPT-4.5 Turbo LaMDA, LLaMA, Stanford Alpaca, Google FLAN, Poe, Falcon LLM)
- Getting Started with LLM and their Infra
- LLM text generation program using GPT models using OpenAI
- LLM finetuning and scaling
- LLM text generation finetuning with different parameters
- Why finetuning is actually required
- What is Langchain
- What are the core concepts of Langchain
- Components of Langchain
- How to use Langchain agents
- LlamaIndex
- What is RAG
- What are Vector stores, and what are vector databases
- How to build chatbots
- How to Build RAG using Langchain
- Advanced RAG
- What is Chunking
- What is the use of chunking the document
- What are the traditional effective chunking techniques
- What are the problems and limitations of 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
- Basic Technique-Hyperparameter Tuning: Adjusting learning rate, optimizer, etc., to optimize LLM performance for the target task.
- Transfer learning Technique: Feature Extraction (Repurposing), Full Fine-Tuning
- Advanced Techniques: Multi-Task Learning, Sequential Fine-Tuning
- LoRA – Low-Rank Adaptation
- QLoRA – Quantized Low-Rank Adaptation, ReLoRA, GPTq
- Prefix Tuning
- P-Tuning
- Adapter Modules
- Meta-Learning
- Text-Based Metrics: Perplexity, BLEU score, ROUGE score, and intrinsic metrics, RAGAS
- Image-Based Metrics: FID, IS
- Human evaluation
- Future Trends and Emerging Technologies: Exploring the latest advancements, predicting future trends, group discussions
- Capstone Projects and Presentations: Teams work on real-world projects, final presentations, certification ceremony
Generative AI Course In Hyderabad
Key Points
Our Generative AI Training in Hyderabad is crafted to provide a comprehensive and immersive learning experience. We emphasize practical knowledge and real-world applications, ensuring you gain the expertise needed to excel in artificial intelligence by using the power of generative AI.
Below are the key points that set our course apart:
Comprehensive Course Curriculum
At Generative AI Learning, our Comprehensive Course Curriculum covers everything you need to know about Generative AI. Each module is designed to build your knowledge one step at a time. You'll learn about machine learning, deep learning, and natural language processing. We regularly update our content to keep it current with industry trends, so you receive the most relevant education possible.
Certified experts as instructors
Our trainers, who are industry experts, are what set Generative AI Learning apart. With their years of real-world experience and impressive success stories, they share practical insights that improve the learning process and give you a deeper understanding. By learning from experts, you get more than just textbook knowledge - you get valuable lessons from the field that prepare you for a career.
Hands-on training sessions
Hands-on Training is a vital part of our courses at Generative AI Learning. We believe that practice is key to mastering skills! Through live projects and simulations, you'll put what you learn into action in real-life scenarios. This approach not only gives you confidence but also lays a strong foundation, preparing you for a job. You'll leave the classroom with valuable skills.
Flexible Class Schedules
At Generative AI Learning, we know how important it is to have Flexible Class Schedules. We've designed our courses to fit your lifestyle, whether you're a student or working professional. You can choose from weekend classes or evening sessions, allowing you to learn at your own pace and making education accessible to everyone. With our flexible schedules, balancing study with other commitments is easier than ever.
Industry-relevant training experience
At Generative AI Learning, we focus on providing an industry-relevant training experience. Our courses are designed to meet the demands of today's job market. By using case studies, trend analysis, and real-world examples, you'll learn how to apply your skills right away. This practical approach not only enhances your education but also greatly improves your employability.
Placement Assistance
Lastly, our Placement Assistance is a major draw for students who opt for Generative AI Learning. We provide dedicated support to help you land a job after completing the course. This includes resume building and interview preparation, where we'll guide you every step of the way. With strong connections to top companies, we can connect you with exciting job opportunities in the rapidly growing field of Generative AI.
By enrolling in our Generative AI Course in Hyderabad, you’re not just gaining knowledge but the skills and experience needed to excel in artificial intelligence. Our program ensures you emerge as a confident and competent AI professional ready to tackle the industry’s challenges.
About
Generative AI Course in Hyderabad
Our Generative AI Training in Hyderabad offers a comprehensive dive into the rapidly advancing field of artificial intelligence, focusing on generative models. This course will provide the skills and knowledge required to develop AI systems that generate new content, including text, images, and data models.
Industry experts teach the course, covering critical concepts like Generative Adversarial Networks (GANs), transformers, and other cutting-edge AI technologies. You’ll learn how generative AI transforms industries by driving innovation in creative content, data augmentation, and automated design.
Our training program is perfect for those who want to stay ahead in AI. It doesn’t matter if you’re starting or working in the field. Our Gen AI course gives you the foundation and hands-on experience you need to succeed in a career involving generative AI.
What is Generative AI?
Generative AI is a subset of artificial intelligence that focuses on creating new content, such as text, images, audio, or data. Unlike traditional AI models, designed to recognize patterns and make predictions, generative AI models can produce original content by learning from vast amounts of existing data.
Advanced algorithms, such as Generative Adversarial Networks (GANs) and generative pre-trained transformers (GPT), are at the core of generative AI. These algorithms enable machines to mimic human creativity.
These models are trained on large datasets and then used to generate new, often highly realistic outputs that can be indistinguishable from those created by humans.
Generative AI is transforming industries by enabling the creation of art, music, product designs, and even new drugs. This technology automates tasks and pushes the boundaries of creativity and innovation, making it a critical study area in modern AI training programs.
Why Choose us for
Generative AI Course in Hyderabad
Career Guidance
At Generative AI Learning in Hyderabad, we provide tailored career guidance. Our expert mentors offer advice on job opportunities, building resumes, and preparing for interviews. This support helps students make informed decisions and find rewarding careers in the growing field of Generative AI.
Affordable Fees
Generative AI Learning is dedicated to making education accessible to all. We offer courses with affordable fees that don't sacrifice quality. We believe essential Generative AI training should be within reach of everyone. With flexible payment options, students can invest in their futures without finical stress.
Leading Industry Partners
By enrolling at Generative AI Learning, you'll connect with leading industry partners. Our collaborations guarantee training that meets real-world needs. These partnerships also bring valuable networking opportunities, internships, and job placements, giving you a competitive edge in the job market.
Backup Sessions
We know that life can be unpredictable. At Generative AI Learning, we provide backup sessions to make sure students don't fall behind on important material. This flexibility lets you make up for missed classes and keep your learning on track, helping you succeed in the course and your career.
Gen AI Certification
When you finish your course at Generative AI Learning, you'll get a recognized Gen AI certification. This certification proves your skills and makes you more attractive to potential employers. Since they value our certification, you'll have a competitive edge in the growing field of Generative AI.
Practical Exposure
At Generative AI Learning, we combine practical experience with theoretical knowledge. Through hands-on projects and real-world case studies, you can put what you've learned into practice. This hands-on experience prepares you for the challenges you'll face in the industry and lays a strong foundation for a career in Generative AI.
Generative AI Course in Hyderabad
Course outline
In the first stage, students learn the basics of generative AI, including definitions, importance, and types of models. They also explore real-world applications, seeing how AI affects different industries, which makes the concepts more understandable.
Next, students explore data, a crucial element of generative AI. They learn about the different data types, such as images, text, and sound. Students gain insight into the high-quality data required for effective AI models by understanding how data is collected and cleaned.
In this section, students explore various algorithms that power generative AI. They learn about neural networks, including GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). The practical examples and hands-on exercises make understanding algorithms straightforward and valuable.
As students progress, they learn how to create their own AI models. They are guided through building projects that reinforce their learning. This hands-on experience boosts confidence and solidifies their understanding of generative processes.
In this stage, students use their skills to tackle real-world problems. They work on projects that demonstrate their grasp of generative AI. With instructors' guidance, they fine-tune their work, preparing to apply it in various fields, such as healthcare, finance, and entertainment.
Finally, students dive into the future of generative AI, discussing recent breakthroughs, ethical implications, and career paths. This broader view equips them with a solid foundation and inspires enthusiasm for AI's potential to transform industries and create innovative solutions.
Why To Learn
Generative AI Course in Hyderabad
Generative AI is increasingly used across industries because it can generate new ideas and improve processes. An essential use of generative AI is creating realistic simulations and models, which are extremely valuable in areas such as data science, product design, and content creation.
Using generative models, businesses can quickly produce high-quality content for various purposes, such as marketing, entertainment, or data augmentation. In data science, generative AI helps enhance datasets by creating synthetic data, improving AI models’ accuracy and robustness.
This is especially helpful when collecting a lot of accurate data, which can be complicated or expensive. Generative AI is also crucial for creating AI applications that require creative thinking, such as music, art, and writing.
As artificial intelligence advances, generative AI is expected to grow. This technology is giving businesses tools to stay ahead of the competition, changing the future of AI and its uses in many different areas.
Generative AI Course in Hyderabad
Jobs Trends
Generative AI is changing the job market in exciting ways. As this technology grows, so do job opportunities. Many businesses are now looking for experts who understand how to use Generative AI in areas like content creation, software development, and data analysis.
Recent studies show that the demand for AI skills will only increase in the coming years. Generative AI Learning is an excellent way for students to get involved in this field. Students can gain skills in AI development, machine learning, and natural language processing.
Many companies are also hiring roles like AI ethicists and AI trainers. These positions are essential for making sure that Generative AI is used responsibly.
Students willing to learn and adapt will find many new job trends in Generative AI. This booming field opens doors to various careers. By preparing now, students can take advantage of these opportunities in the future.
Market Trend in Generative AI
The market for generative AI is experiencing explosive growth, driven by advancements in artificial intelligence and the increasing demand for AI-driven innovation across industries.
Generative AI, particularly generative models like GANs and transformers, is revolutionizing how businesses approach content creation, data science, and product development.
According to recent reports, the global AI market is expected to reach $1.81 trillion by 2030, with a significant portion attributed to the rapid adoption of generative AI technologies.
The demand for AI engineers and data scientists skilled in generative AI is rising. Companies leverage generative AI to enhance customer experiences, automate processes, and drive competitive advantages.
This trend creates numerous job opportunities for professionals trained in generative AI, making it a valuable skill set in today’s job market.
As generative AI becomes more integrated into data science, it’s opening up new possibilities in synthetic data generation and predictive modeling, further cementing its place in AI training programs.
As the field of generative AI continues to evolve, it’s crucial for anyone looking to build a successful career in the field to stay updated with these market trends.
Generative AI Course in Hyderabad
Job opportunities
Completing our Generative AI training course opens up many career opportunities in the rapidly growing field of artificial intelligence. Here are some of the key roles students can pursue:
AI Software Developer
Build software solutions that incorporate generative AI functionalities.
Content Creator
Create innovative content such as articles, music, and art using generative AI tools.
AI Research Scientist
Research and develop new algorithms and refine existing models.
Data Scientist
Analyze data to drive decision-making using generative AI techniques.
AI Product Manager
Oversee the development of AI products and ensure they meet customers' needs.
Business Analyst
Analyze business processes and implement generative AI solutions for efficiency.
Consultant
Advise companies on how to effectively use generative AI in their operations.
Marketing Specialist
Use generative AI to automate marketing strategies and content generation.
These roles are just a few of the many career paths available to those who complete our Generative AI Training in Hyderabad. The skills and knowledge gained from this course will equip you to excel in the dynamic and evolving AI industry.
Generative AI Course in Hyderabad
Prerequisites
- Basic understanding of Python programming.
- Familiarity with AI concepts and machine learning fundamentals.
- Experience with data analysis tools or platforms.
- Knowledge of basic statistics and probability.
- Understanding of linear algebra and calculus.
- Prior exposure to deep learning frameworks like TensorFlow or PyTorch is beneficial but not mandatory.
Generative AI Course in Hyderabad
Course Certification
- Upon completing our Gen AI course, students will receive a certification that validates their expertise in generative models, AI concepts, and practical applications.
- Our AI certification is recognized by top companies in the AI industry and serves as a testament to your proficiency in the field.
- It not only enhances your resume but also increases your job prospects, making you a strong candidate for roles such as AI engineer and data scientist.
- Our certification course covers all the essential tools and techniques used in generative AI, ensuring that you are well-prepared to tackle real-world challenges.
- Our certification provides you with a competitive edge, opening doors to advanced roles in artificial intelligence and data science
Skills develop after
Generative AI Course in Hyderabad
Students will gain in-depth knowledge of generative AI principles, including GANs and transformers. This knowledge will enable them to create AI systems capable of generating new content, a crucial skill in advanced AI and NLP applications.
Trainees will learn to apply AI concepts and techniques in real-world scenarios, enhancing their ability to develop AI solutions that solve complex problems in industries like data science, marketing, and natural language processing.
Students acquire hands-on experience with the latest AI tools and platforms, ensuring they can effectively implement and manage generative AI projects in diverse applications, including NLP and data science.
It helps trainers develop skills in integrating generative AI with data science techniques, allowing them to generate synthetic data and improve model performance in various data-driven AI projects, including NLP.
Apply generative AI techniques, which are increasingly used in developing sophisticated language models and automated content generation systems, to enhance the trainee’s understanding of natural language processing.
Prepare for certification in generative AI and related fields, such as NLP, ensuring you have the credentials to advance your career in the competitive field of artificial intelligence.
Generative AI Course in Hyderabad
Tools Covered
- TensorFlow
- ChatGpt
- Google Gemini
- PyTorch
- Jupyter Notebooks
- Hugging Face Transformers
- Keras
- OpenCV
- NLTK (Natural Language Toolkit)
- GANLib
Generative AI Course in Hyderabad
Testimonials
Frequently Asked Questions
The Generative AI Learning course teaches you to create and understand AI models. It covers basic AI, deep learning, and natural language processing. This training helps you build AI applications and enhance your skills.
Anyone interested in AI can join. Whether you are a student, a working professional, or just a curious learner, this course is suitable for all levels. Prior knowledge of programming is beneficial but not necessary, as we cover everything step-by-step.
While there are no strict requirements, knowing a programming language like Python can be an advantage. Familiarity with data science concepts will also improve your learning experience. If you’re new to this, don’t worry our instructors are here to help you.
The course usually lasts around 45 days. With 2hrs weekly classes, you can easily balance your studies with other responsibilities. Through hands-on projects and assignments, you’ll gain a practical understanding of generative AI.
You’ll learn key topics such as machine learning, neural networks, and generative models. We’ll also explore how generative AI is used in real-world applications across different fields. By the end, you’ll have the skills and confidence to create your own AI-driven projects.
Upon completing the course, you’ll receive a certificate from Generative AI Learning. This certificate highlights your hard work and strengthens your resume, proving your skills in the exciting field of artificial intelligence.
The course combines live online sessions and recorded videos. You’ll also have access to a discussion forum for support. This flexible format lets you learn at your own pace, with guidance from our experienced instructors.
The fee for our Generative AI Learning course is minimal in comparison to other training institutes. We have flexible payment plans to fit different budgets. For the most current and accurate fee information, as well as any offers, please contact us.
Hands-on projects are a crucial part of our course Our Trainer will help you with the real-time e-commerce project with all the tools working professionals are working with. These projects help you solidify your understanding of generative AI techniques and boost your problem-solving skills.
Yes, generative AI typically requires coding, especially in Python. Understanding how to implement AI models and work with data is essential for success in this field.
Enroll easily through our website! Just visit Generative AI Learning’s official page, fill out the registration form, and select your preferred course date. If you need help, our team is here to assist you, making the process simple.
AI is expected to automate certain tasks and roles, potentially displacing some jobs by 2025. However, it will also create new job opportunities, particularly in AI development, data science, and AI system management.
Jobs that involve routine, repetitive tasks, such as data entry, basic customer service roles, and some manufacturing jobs, are most at risk due to AI.