Generative AI Training in Hyderabad
Master Generative AI, ChatGPT & Prompt Engineering in India’s Top Course | Industry-Aligned Curriculum | Expert-Led Training | Job Assistance.
- 350 + Students Enrolled
- 90+ Duration
Generative AI Course Training Course 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
Key Points Of Generative AI Training In Hyderabad
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
Our course covers various topics, from the basics of artificial intelligence to advanced generative models. You'll delve into concepts like Generative Adversarial Networks (GANs), generative pre-trained transformers, and the principles of Generative AI, all tailored to meet the latest industry standards.
Industry Experienced Trainers
Learn from AI experts who bring years of industry experience into the classroom. Our trainers are well-versed in the practical applications of generative AI and offer insights that go beyond textbook knowledge.
Hands-on Training
We believe in learning by doing. Our course includes extensive hands-on sessions, where you'll work on real-world projects, applying generative AI techniques to solve complex problems. This approach ensures that you understand the theory and gain practical skills that are directly applicable to the AI industry.
Flexible Timing
We understand that everyone's schedule is different. That's why we offer flexible learning options, including weekday and weekend batches and online and in-person training. This flexibility allows you to learn at your own pace without compromising on your other commitments.
Placement Assistance
Our dedicated placement cell provides comprehensive support to help you land your dream job. We offer resume building, mock interviews, and job placement assistance to ensure you are well-prepared to enter the AI job market.
Practical Projects
As part of the course, you'll work on practical projects that mimic real-world scenarios. These projects are designed to challenge you and help you apply the concepts you've learned in a practical setting, giving you a portfolio of work that showcases your skills to potential employers.
Interview & Job Support
In addition to placement assistance, we provide ongoing support through interview preparation and job search strategies. We aim to equip you with the confidence and skills needed to succeed in job interviews and secure positions in top AI companies.
Positive Trainees Feedback
Our training program has received overwhelmingly positive feedback from past participants. Trainees appreciate our comprehensive curriculum, experienced trainers, and the practical focus of the course. This feedback is a testament to the quality and effectiveness of our training.
Interactive Learning
Our classes are designed to be interactive and engaging. To enhance your learning experience, you'll participate in group discussions, collaborative projects, and Q&A sessions. This interactive environment fosters a deeper understanding of the material and encourages active participation.
By enrolling in our Generative AI Training 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 Training in Hyderabad
Our Generative AI Training in Hyderabad offers an in-depth exploration of the rapidly advancing field of artificial intelligence, particularly on generative models. This course will equip you with the skills and knowledge needed to create AI systems capable of generating new content, whether text, images, or data models.
Industry experts teach the course, covering essential concepts such as Generative Adversarial Networks (GANs), transformers, and other cutting-edge AI technologies. You’ll learn how generative AI revolutionizes industries by enabling innovations in creative content, data augmentation, and automated design.
Our training program is ideal for anyone looking to stay ahead in AI. Whether you’re a beginner or a working professional, this course provides the foundation and practical experience needed to excel in your career in generative AI.
What is Generative AI?
Generative AI refers to a subset of artificial intelligence that focuses on creating new content, whether 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.
At the core of generative AI are advanced algorithms like Generative Adversarial Networks (GANs) and generative pre-trained transformers (GPT), which 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 area of study in modern AI training programs.
Course outline
Our AI Course in Hyderabad session starts with a solid foundation in artificial intelligence, exploring the basics of AI and its applications. This section covers fundamental AI concepts, the importance of AI in modern industries, and an overview of generative AI. Learners will understand how generative AI differs from traditional AI models and why it is crucial in today’s data-driven world.
Delve into various generative models like Generative Adversarial Networks (GANs), generative pre-trained transformers, and other essential generative AI techniques. This section emphasizes how these models are used in data science and AI applications, providing real-world examples of their implementation in healthcare, entertainment, and finance industries.
Gain practical experience with leading generative AI tools and platforms. This section includes hands-on sessions where learners will use these tools to create AI-driven models, simulate data, and generate content. Understanding these tools is crucial for applying generative AI techniques in real-world scenarios.
Explore the intersection of generative AI and data science. This section discusses how generative AI enhances data science projects by generating synthetic data, improving model accuracy, and driving innovation. It highlights examples of generative AI applications in various industries, such as personalized marketing and automated content creation.
Learn about the pathways to becoming a certified AI engineer specializing in generative AI. This section covers the certification courses available, the skills needed, and the following career opportunities. The course also prepares learners for certification exams validating their generative AI and data science expertise.
The final section focuses on preparing learners for the job market. It includes resume building, interview preparation, and connecting with industry networks. Our comprehensive placement program ensures learners have the necessary skills and support to secure roles in the AI industry, particularly in positions requiring generative AI and data science expertise.
Why is Generative AI Used?
Generative AI is increasingly used across various industries because it can innovate and streamline processes. One key application of generative AI is creating realistic simulations and models, which are invaluable in fields such as data science, product design, and content creation.
By using generative models, businesses can quickly generate high-quality content, whether for marketing, entertainment, or data augmentation. In data science, generative AI is leveraged to enhance datasets by generating synthetic data, helping to improve the accuracy and robustness of AI models.
This is particularly useful when acquiring large amounts of accurate data, which is challenging or costly. Additionally, generative AI plays a pivotal role in developing AI applications that require creativity, such as generating music, art, and writing.
As artificial intelligence continues to evolve, generative AI is expected to expand, providing businesses with innovative tools to stay competitive. It’s a transformative technology shaping the future of AI and its applications in various sectors.
Generative AI Course Job support program
Our Generative AI Course Job Support Program is designed to help you transition smoothly from learning to working in the AI industry. We offer comprehensive job placement assistance, including resume building, mock interviews, and personalized career counseling.
Our dedicated placement team connects you with top employers in artificial intelligence, ensuring that you have the best opportunities to apply your skills.
The program also includes continuous job search support, where we guide you through the entire process of securing a role that aligns with your career goals, providing reassurance and guidance every step of the way.
Additionally, we provide industry-specific interview preparation, focusing on the critical competencies required for generative AI and data science roles. With our job support program, you’re trained and prepared for success in the AI industry.
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.
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 the course
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.
Tools Covered
- TensorFlow
- PyTorch
- Jupyter Notebooks
- Hugging Face Transformers
- Keras
- OpenCV
- NLTK (Natural Language Toolkit)
- GANLib
Job opportunities after Generative AI Course In Hyderabad
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 Engineer
As an AI engineer, you'll apply generative AI techniques to develop innovative solutions across various industries, including data science and natural language processing (NLP). This role requires strong skills in Python and a deep understanding of generative models and deep learning.
Data Scientist
As an AI engineer, you'll apply generative AI techniques to develop innovative solutions across various industries, including data science and natural language processing (NLP). This role requires strong skills in Python and a deep understanding of generative models and deep learning.
NLP Specialist
Specializing in NLP and deep learning, you can work on projects that involve building and fine-tuning language models, developing chatbots, and automating content generation. Your knowledge of LLMs and tools like Langchain will be crucial in this role.
AI Researcher
If you have a passion for exploring new frontiers in AI, becoming an AI researcher allows you to delve into the development of advanced generative models and AI applications. This role often involves working with leading AI tools like OpenAI and requires a deep understanding of LLM evaluation techniques.
AI Consultant
As an AI consultant, you'll advise organizations on how to implement generative AI solutions effectively. This role involves integrating AI technologies into existing workflows, ensuring ethical use of AI, and leveraging vector databases for optimized data management.
Machine Learning Engineer
In this role, you'll focus on building and deploying machine learning models, with a special emphasis on generative adversarial networks (GANs) and other generative techniques. You'll also be involved in exploring prompt engineering and fine-tuning models for specific applications.
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.
Placement program Generative AI Training
Resume Building and Review
Our placement team assists you in crafting a professional resume that highlights your skills in generative AI, data science, and AI applications. We focus on showcasing your hands-on experience with tools like Python, OpenAI, and Langchain, making you stand out to potential employers.
Mock Interviews
We conduct mock interviews tailored to roles such as AI engineer, data scientist, and NLP specialist. These sessions are designed to build your confidence and prepare you for the types of questions you’ll encounter in real job interviews, focusing on both technical skills and AI concepts.
Job Search Assistance
Our dedicated placement counselors work closely with you to identify job opportunities that align with your skills and career goals. We help you navigate the job market, connecting you with top companies looking for talent in AI, generative models, and machine learning.
Industry Networking
We facilitate networking opportunities with industry professionals, alumni, and recruiters. These connections can be crucial in landing your first job or advancing your career in artificial intelligence and related fields.
Placement Drives
We organize exclusive placement drives, during which you can interview multiple companies actively seeking AI talent. These events are a great opportunity to secure a position quickly after completing the course.
Continuous Support
Even after you secure a job, our support doesn’t end. We provide ongoing career advice and resources to help you continue growing in your role and stay updated with the latest developments in AI and generative technologies.
Pre-requisites For Gen AI Training Course
- 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.
Frequently Asked Questions - Generative AI Training
Yes, generative AI is considered a significant part of the future of artificial intelligence. Its applications in various industries, from content creation to data science, highlight its potential to revolutionize many fields.
The scope of generative AI is vast, covering areas such as content generation, synthetic data creation, advanced simulations, and more. It is particularly impactful in industries like healthcare, entertainment, finance, and marketing.
Generative AI Learning in Hyderabad is one of the best institutes for AI engineering. It offers comprehensive courses in generative AI, deep learning, and AI applications and offers strong placement support.
The salary for professionals skilled in generative AI can vary widely based on experience and location. On average, entry-level positions can start at INR 8-12 lakhs per annum, with the potential for higher earnings as experience grows.
To prepare for a career in generative AI, start by learning Python, AI concepts, and machine learning fundamentals. Enrolling in a specialized course, like those offered by Generative AI Learning, can provide the structured education and hands-on experience needed.
Yes, an AI career is an excellent career choice. The demand for AI professionals is rapidly growing, and careers in AI offer high salaries, job security, and opportunities to work on innovative and impactful projects.
The salary of an AI engineer in TCS typically ranges from INR 7-15 lakhs per annum for entry-level positions, with experienced engineers earning significantly more.
Yes, generative AI is a highly sought-after skill in the AI industry. Mastery of generative AI techniques, tools, and models can open up numerous career opportunities in various fields.
Google offers several AI courses, some of which are free. These courses can be a good starting point for beginners interested in AI and machine learning.
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.
Start by learning the basics of AI and Python. Enroll in a specialized course like those offered by Generative AI Learning, which provides comprehensive training and hands-on experience, and leverage their placement support to find your first job.
Generative AI is not likely to replace coders entirely, but it will change the nature of coding by automating some tasks. Coders will still be needed to develop, implement, and maintain AI systems.
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.