Generative AI Training
Class Room | Online | Capstone Projects | 2 - 3 Months
Table of Contents
Generative AI Training Batch Details
| Email Us at: | contactus@bennetechsolution.com |
| Demo Class Details: | ENROLL FOR FREE DEMO CLASS |
Generative AI Course Syllabus
| Module 1 : GenAI and It's Industry Applications |
|---|
| Module 2 : NLP & Deep Learning |
| Module 3 : Generative AI Models |
| Module 4 : Language Models & Transformer Models |
| Module 5 : Prompt Engineering |
| Module 6 : Large Language Models |
| Module 7 : LLM's Embeddings |
| Module 8 : Different Chunk Metrics |
| Module 9 : RAG and Advanced RA with Langchain |
| Module 10 : Langchain for LLMs |
| Module 11 : Vector Databases |
| Module 12 : Finetuning LLMs |
| Module 13 : LLMs Evaluation |
| Module 14 : LLMops |
| Module 15 : LLM's on Cloud |
| Module 16 : Different AI Tools |
Generative AI Training Key Points
| Industry Ready Curriculum: We have custom designed the Generative AI Courses contents that you get understanding of AI concepts, algorithms, and applications. Our Generative training curriculum starts with Python, Machine Learning, Deep Learning, Generative Lang Models, MLOPS and more. |
| Real Time Expert Trainer: You get to Learn from our faculty members who have more than 12 years of experience in AI methodologies. Our faculty is highly experienced in ensuring that quality teaching and understanding occur Apply your learning through opportunities to work on real-world AI problems, linking theory with applied practice. |
| Lab Facilities for Practice: Generative AI classes and labs at brolly Academy are equipped with the latest technology, providing practical and technical expertise to people that are interested to learn generative ai |
| Dedicated Placement Support: We shall arrange an One-to-one career placement support team that will match you with potential employers, giving you confidence as you start your career as Generative AI Engineer. |
| Flexible Learning: Options Learning material should be both physical and online, fitted around your timetable, yet quality maintained. |
| Practical Coding Sessions: We offer practical coding sessions that help you Develop your technical skills while giving you hands-on experience to help you develop a more resilient ability in the real world. |
| Certification Awarded: You are certified after taking up our Generative AI training course with quality assurance related to the knowledge you have obtained, and the quality time you have spent. |
| Value Quality Education at an Affordable Rate: Our courses are reasonably priced so you get the best training without worrying about the price. |
| Free 3-Day Demo Sessions: We offer a 3-day demo session to get you to know more about our teaching style, which will help you in making the decision about taking our course. |
| Collaborative Learning Community: By learning with us, you can be part of a vibrant community of like-minded professionals and learners, where networking and collaboration help you improve your education. |
| Updated Course Content: We provide you with the updated version of the generative course in AI, helping you keep up with the trends in the field and keeping your knowledge potent and relevant all the time. |
| Interactive Session Experience: Our interactive session plans to simplify the seemingly overly complicated AI concepts into easy-to-grasp and, subsequently, even more memorable bits. |
| Lifetime Access to Resources : You can acquire lifetime access to course material and their resources as well so that you can revisit and repeat learning at your convenience. |
Overview of Generative AI Training
- The Generative AI course provides participants with a complete understanding of the principles, techniques, and applications of Generative AI, a transformative field within artificial intelligence.
- Designed to serve to a broad audience, from beginners to seasoned professionals, the course offers a structured curriculum that encompasses both theoretical foundations and practical implementation aspects.
- It also generates something new, like text, images, and videos, not just traditional AI that only analyzes data to classify them.
- The curriculum covers essential topics such as natural language processing, image synthesis using Generative Adversarial Networks (GANs), and the integration of Generative AI into real-world applications.
- Emphasis is placed on hands-on experience, enabling participants to develop proficiency in programming languages like Python and gain practical skills in utilizing popular frameworks such as TensorFlow and PyTorch.
What is Generative AI?
- Generative AI is a form of artificial intelligence that creates new content or data by learning from patterns in existing information
- It refers to systems and models designed to generate content, often in the form of text, images, or other media, using advanced machine-learning techniques.
- The primary goal of Generative AI is to create human-like outputs by learning patterns and structures from vast datasets. This technology has gained prominence in various fields, including natural language processing, computer vision, and creative arts.
- One of the key aspects of Generative AI is its ability to understand and replicate human-like language. Natural language processing models, such as GPT (Generative Pre-trained Transformer), are examples of Generative AI systems that excel in understanding context, generating coherent text, and even engaging in meaningful conversations.
- These models are pre-trained on extensive datasets, allowing them to learn grammar, semantics, and contextual cues to produce contextually relevant and fluent content.
Why is Generative AI Used?
- Art and Design: One uses generative AI tools to produce unique artworks and designs, working alongside AI for the enhancement of creativity.
- Content Development: Generative AI makes writing and marketing more accessible for content marketers and writers by generating articles, social media posts, and marketing copy.
- Music Composition: It’s using AI for new original music, testing styles, and, in effect, assisting in the composition.
- Game Development: The generative AI used by the game developers produces the changing environments, characters, and stories.
- Garment: Designers make patterns of clothes, give fashion tips, and forecast future trends based on data.
- Drug Discovery: AI models design new molecules and evaluate them for their potential, accelerating the pharmaceutical research and development process.
- Movies and Cartoons: Used in scriptwriting, storyboarding, and effects generation, they facilitate more efficient filmmaking.
- Synthetic data generation: Improve training datasets to enhance machine learning models’ accuracy.
- Chatbots and Virtual Assistants: They make AI systems perform like humans to improve user interaction.
- Learning: It provides learning materials and tutoring systems tailored to a student’s requirements.
- Education and Training: AI-generated simulations and interactive content help in education by providing personalized learning experiences and training simulations, making learning more engaging and effective.
- Financial Forecasting and Analysis: In finance, Generative AI can analyse market trends and generate forecasts, helping businesses and investors make more informed decisions.
Course outline
- Overview of generative AI concepts and applications.
- Basic programming skills using Python.
- Essential mathematical concepts for AI, including linear algebra and probability.
- Introduction to machine learning, covering supervised and unsupervised learning.
- Understanding key generative models like GPT and GANs.
- Applications of generative AI in NLP, including text generation and sentiment analysis.
- Practical application of learned concepts through coding projects.
- Addressing ethical implications and responsible AI deployment.
- Exploring how generative AI is used in industries like healthcare, finance, and arts.
- Presenting and discussing individual or group AI projects.
Learning Modes Generative AI Training
Online Training
- Basic to advance level
- Daily recorded videos
- Capstone Project
- Internship Provided
- 100% Placement assistance
- Whatsapp Group Access
Offline Training
- Lifetime Video Access
- Basic to advance level
- Internship till you get placed
- One-One Mentorship
- Real time Industry Projects
- Interview Guidance
Corporate Training
- Basic to advance level
- Flexible Batch Timings
- Live project included
- Daily recorded videos
- Doubt Clearing Sessions
- Whatsapp Group Access
Generative AI Course Job support program
Career Counseling
Individualized sessions with experienced career counselors to identify personalized career goals and strategies. Guidance on building a strong professional network within the AI industry.
Industry Connections
Provisions to join networking events, webinars, and only-for-its-participants job fairs by leading AI companies. Being able to connect with successful alumni who have made the transition into AI roles can be very helpful because they may often offer the right kinds of insight and opportunity in the field.
Job Search Assistance
Detailed guidance on sourcing through job boards besides portals designed explicitly for AI training, which you can access at your convenience. Find help identifying job opportunities that are aligned with what you seek in your professional life.
Continuous Learning Resources
Access to updated AI resources, workshops, and webinars to stay current with industry trends. Discounts on advanced AI courses for ongoing skill development.
Mentorship Program
Our Mentorship Program matches a mentee with an experienced AI professional to guide him/her in learning and making his/her way in this industry. The mentees can then use regularly scheduled meetings with their mentors to help discuss career goals, challenge themselves, and gain other valuable insights into steps to take in navigating their careers in AI.
Industry-Specific Workshops
Join our regular workshops on emerging trends, tools, and methodologies that are available in the AI industry. It's a hands-on session led by industry experts whereby you get hands-on insights into new trends and apply them in real-world settings, thus improving your AI understanding and skills.
Market Trend in Generative AI
| 01.Exponential Growth: | The global generative AI market size was valued at approximately $8 billion in 2022 and is projected to grow at a CAGR of around 34%, reaching nearly $60 billion by 2030. |
| 02.Industrial Use: | In sectors like healthcare, finance, and marketing, generative AI applications have seen adoption rates of over 50% in companies using AI for content creation and data analysis. |
| 03.Investment Boost: | The continuous growth trend suggests that the market volume is projected to expand significantly, reaching an estimated US$207.00 billion by the year 2030. |
| 04.Accessibility: | Generative AI is becoming an integral part of various sectors such as healthcare, finance, manufacturing, and more. |
| 05.Ethical AI Focus: | A survey showed that 78% of AI professionals believe that ethical frameworks for AI use are crucial for preventing bias and misinformation. generative models. |
| 06.Cross-Technology Integration: | Reports indicate that 65% of companies integrating generative AI are also utilizing augmented reality (AR) and virtual reality (VR) technologies. |
| 07. Increased Regulatory Attention: | Regulatory bodies have seen a 40% increase in discussions and proposals related to AI regulations in the past year, focusing on data privacy and intellectual property. |
| 08.Customization and Personalization: | Businesses using generative AI for personalized marketing report a 30% increase in customer engagement and satisfaction. |
| 9.Research and Development: | Investment in R&D for generative models grew by 50% in 2023, with universities and tech companies leading efforts to enhance model efficiency. |
| 10.Collaborative Tools: | Collaborative AI tools have seen adoption rates rise by 70% in organizations, facilitating multidisciplinary teamwork and idea generation. |
Generative AI Course Certification
- In the opinion of Brolly Academy, the proper credentials bring you closer to your goal in career advancement.
- Once you complete our training program for Generative AI successfully, you are awarded a certificate issued to you formally and officially to prove your understanding of generative AI concepts and your ability to apply them for real-world problem-solving.
- The certification bolsters your resume, showing your commitment toward continuous learning as well as expertise in one of the most dynamic fields in AI today.
- Join our Generative AI training certificate course online and get a certification that opens up new career paths in artificial intelligence. This course will help you learn the latest skills in Generative AI, making you stand out in this exciting field. Start now and move closer to a great career in AI!
- Generative AI Specialist Certification
- Certified GPT Developer
- Generative Adversarial Networks (GANs) Practitioner Certification
- Advanced Natural Language Processing (NLP) for Generative AI
- TensorFlow for Generative Models Certification
- PyTorch for Image Synthesis Certification
- AI Ethics and Responsible AI Deployment Certification
- Certified Generative Model Developer (CGMD)
Skills develop after Gen AI course
- At Brolly Academy, we commit to providing you with the foundational skills and knowledge that will enable you to succeed in generative AI.
- By the end of this learning journey, you will be proficient in Python and familiar with powerful tools such as TensorFlow and PyTorch to implement AI programs.
- We guarantee that you will gain a profound understanding of how advanced models, such as GPT and GANs, work, empowering you to apply their capabilities to your projects.
- Proficiency in working with language data for tasks like sentiment analysis and text summarization.
- You'll be able to carry out operations on text related to sentiment analysis and summarization and create and manipulate realistic images using GAN algorithms.
- Effectively managing and preprocessing large datasets for model training.
- You will learn core machine learning concepts applicable to the domain of generative AI and achieve an excellent ground in the fundamental mathematics and statistics needed for designing sound AI algorithms.
- Understanding basic math and statistics for developing AI algorithms.
- Join us and help us unlock your potential in this exciting AI field. At Brolly Academy
Tools covered in Generative AI Training
- TensorFlow : TensorFlow is an open-source machine learning framework developed by Google.
- PyTorch: Flexible library favored for its ease and fast model training, especially in generative adversarial networks.
- Jupyter Notebooks : An interactive environment for writing and running Python code, quickly experimenting with generative AI.
- Hugging Face Transformers: A powerful library with pre-trained models, offering state-of-the-art transformers for text generation.
- Keras: A high-level neural networks API on TensorFlow, enabling faster deep learning with built-in generative models
- NLTK (Natural Language Toolkit): A Python NLP library offering tools for text processing, analysis, and generating insights from text data.
- OpenCV: An open-source computer vision library for real-time image processing, widely used in generative models.
- GANLib : A set of libraries designed for GANs, offering tools and frameworks for experimenting with GAN architectures.
Job opportunities after Generative AI course
Natural Language Processing (NLP) Specialist
You will work specifically on developing algorithms that allow machines to understand and generate human language. Your generative AI capability will enable you to work on applications such as chatbots, tools for sentiment analysis, and systems for translating from one language to another, all while innovating in human-computer interaction.
Data Scientist
As a Data Scientist, you will extract business-ready insights from complex data sets. Your expertise in generative AI methods can allow you to develop predictive models, automate processes using best practices of machine learning, or enhance your data analysis and reporting capabilities.
Machine Learning Engineer
A Machine Learning Engineer designs and implements machine learning models for various applications, optimizing the same for maximum accuracy. Such a role demands in-depth knowledge of algorithms, data preprocessing, and model deployment, enabling you to create systems involving the use of generative AI for picture and text production.
Natural Language Processing (NLP) Specialist
You will work specifically on developing algorithms that allow machines to understand and generate human language. Your generative AI capability will enable you to work on applications such as chatbots, tools for sentiment analysis, and systems for translating from one language to another, all while innovating in human-computer interaction.
AI Product Manager
As an AI product manager, you will engineer products that power AI, connect technical teams with business stakeholders, and help cross-functional teams deliver innovative solutions to the market by identifying market opportunities, defining product features, and achieving their delivery.
AI Consultant
You will be an AI Consultant, so in your role, provide strategic recommendations to organizations about how you think AI technologies should be leveraged in their operations. Enterprises will reap from your knowledge of generative AI in sourcing improvement areas, effective solution implementation, and, most importantly, ethical considerations in the proper use of AI at the organizational level.
All these career opportunities you will realize based on the skills and knowledge you get through our Generative AI course will prepare you well for the dynamically changing job market.
Brolly Academy invites you to take that first step toward a future full of excitement and artificial intelligence by enrolling in our Generative AI Training in Hyderbad.
Pre-requisites Generative AI course
To have a good, worthwhile experience in our Generative AI course, we recommend the following prerequisites
Being able to code
This is essential, as basic programming concepts are well understood. One or more programming languages would be great, but at least one is a must-have; Python is recommended, given its prominence in real-world AI applications.
Data Processing Experience
Participants should have experience working with data, including data preprocessing, cleaning, and basic analysis. Understanding how to manipulate data using libraries like pandas or NumPy will be advantageous for the course..
Foundational knowledge
Even though this is an immersion course in AI, a little basic understanding in machine learning principles—things like supervised and unsupervised learning, as well as algorithms commonly applied—would significantly increase the carryover from this.
Data Handling Experience
Knowing how to handle data is significant. We really recommend practising how to prepare the data, clean them, and do simple analysis. Using libraries like pandas or NumPy will be very useful.
Machine Learning
While the program covers machine learning concepts in-depth, a basic understanding of machine learning principles, including supervised and unsupervised learning and common machine learning algorithms, is beneficial.
Coding Skills
You would be able to write and understand the code so you may fully dive into the class's subject matter. This would lead to effective learning.