About This Course
Unlock the power of Generative AI with Quantum Academy Advanced Certificate Program. This 5-month course will help you master cutting-edge techniques and skills in the rapidly growing field of Generative AI, equipping you with the knowledge to create innovative solutions and AI-powered applications.
Introduction to Generative AI Course
Course Snapshot
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120+ Hours of Learning
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6+ Industry Projects
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10+ GenAI Tools
Key Features:
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Latest Generative AI Modules
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Hands-on learning with 6+ projects
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Master 10+ GenAI tools including ChatGPT
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Masterclasses by Industry Experts
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Quantum Academy Alumni Status
Key Highlights of Generative AI Course
What this course offers:
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Generative AI Models
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Transformers
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ChatGPT
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Prompt Engineering
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Product Development
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Deploy Web Apps with Flask
Who Is This Program For?
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Engineers
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Software and IT Professionals
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Data Professionals
Job Opportunities Post-course:
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Gen AI Engineer
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Data Scientist
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Machine Learning Engineer
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Data Analyst
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Gen AI Internships
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GenAI Researcher
Minimum Eligibility:
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Basic programming proficiency (prior programming experience, either academically or professionally).
Why Choose the Generative AI Certification Course?
This 100% application-focused Generative AI certification offers hands-on learning through recorded sessions and live masterclasses. Over five months, you’ll work on real-world projects like intelligent chatbots, image generators, and knowledge retrieval systems.
Why choose this course:
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Advanced Certificate in Generative AI from Quantum Academy, a globally recognized leader in education.
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Master 10+ Gen AI tools, build 5+ deployable applications, and gain insights from 6+ industry-grade case studies.
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Learn directly from global industry pioneers, technologists, and ML leaders via live masterclasses and pre-recorded lectures.
What You Will Learn:
The industry-relevant curriculum is designed by leading faculty and industry experts, delivered through videos, case studies, hands-on projects, and live online sessions.
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100% Online: Learn at your own pace with a fully online format.
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6+ Projects: Work on industry-grade projects to build hands-on experience.
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10+ Generative AI Tools: Get hands-on experience with the latest tools in the field of Generative AI.
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120+ Hours of Learning: Comprehensive, in-depth curriculum designed to provide extensive learning.
Programming 101
Introduction to Python and Programming
Python Data Types, Variables, Operators, Data Structures
Python Programming Constructs: Conditionals, Loops, Functions
UDFs, Best Coding Practices and Exception Handling
Python for Data Science and Pandas: Working with relational databases, Data Cleaning, Preprocessing, Analysis
Advanced Text Processing using Pandas
Basics of Linux: Commands, Setting up Local Environment
Create ShopAssistAI
- Define the different components of the bot and design the workflow for creating the bot
- Understand the working of LLMs like GPT3 that power ChatGPT: Attention Mechanisms, Transformers, Reinforcement Learning, RLHF among others
- Apply prompting techniques to create prompts for asking questions and evaluating the customer’s response
- Establish metric(s) to measure model performance
- Prompt Engineering: Improve the assistant’s responses by applying simple (non-reasoning) prompting techniques
- Prompt Engineering: Improve the assistant’s accuracy by applying Chain of Thought reasoning-based prompting techniques
- Apply fine-tuning using OpenAI APIs to train an LLM on your custom data
- Learn the best practices for fine tuning OpenAI APIs
- Transfer learning: Apply the same principles to other problems in your domain
- Deploy and launch ShopAssistAI application on Flask
- Iterate and improve the UI of the app using ChatGPT’s code writing capabilities
Create Mr.HelpMate AI
- Understand various search techniques and the generative search paradigm
- Understand the working of embeddings and how they help in semantic search
- Create and analyse embeddings for semantic search
- Understand the entire semantic search pipeline including chunking, embedding, and retrieval
- Create embeddings for large documents by creating chunks
- Create a Q/A system that fetches answer using similarilty search over embeddings
- Scale the Q/A system by making use of vectorstores like ChromaDB
- Embed, index large documents and search in Vectorstore
- Integrate LLM chat models like GPT with the semantic search to build a retrieval augmented generation system that directly responds to user queries
- Experiment with different vectorstores, search and index algorithms and LLMs to improve the chatbot
SemanticSpotter
- Define the components of the knowledge retrieval system and design the workflow
- Explore how LangChain can connect the different components of the system
- Understand the different parts of LangChain – Models, Prompts, Indexes, Chains, Memory and Agents
- Explore the different tools in LangChain and initialise an agent that uses the tools to read different types of files or data present in the company database
- Build the backend for the system using Vectorstore options present in LangChain
- Divide the documents into chunks and apply the LLM to create the embeddings and extract entity for the chunks of document and store them in the Vectorstore
- Construct the Search Index and Entity Store and create a functionality to update it with every question that the user asks
- Use the Chain functionality of LangChain to connect all the components
- Evaluate the results and improve them by experimenting with different LLMs, indexing and embedding algorithms
- Explore other agents and tools to improve the system like adding features like automatic email notifications on some issues, etc.
Scale & Deploy Generative AI Systems
- Explore the Generative AI services offered by various cloud services
- Modify the workflow design of knowledge retrieval system for scalability
- Identify the cloud services required for creating the scalable system
- Expose the system through a chat based front end to the user
Future Developments in Generative AI
- Mitigating risks in AI: Responsible AI
- RLHF as a Product to train your own LLM
- Multimodal Learning: Audio, Image, Text, Heatmap among others within a LLM
Create PixxelCraft AI
- Understand how images are stored and manipulated digitally and work on image processing tasks
- Understand the process by which artificial neural networks and their variants such as convolutional neural networks handle image analysis
- Understand and implement legacy image generation models such as variational autoencoders and generative adversarial networks
- Understand the components of diffusion models and the process by which images are generated and work on building a stable diffusion pipeline component-by-component
- Set up a simple stable diffusion pipeline and create suitable prompts for image generation and use the model to generate relevant images
Create ShrewdNews AI
- Understand prompting for code generation and generate code for data science tasks in a larger ML problem
- Automate ML workflows using language generation models including data preprocessing and machine learning modelling
- Use vector embeddings to solve a real-world use-case problem based on semantic similarity
- Fine-tune language generation models for a particular problem statement and evaluate the model
Skills You’ll Acquire in the Generative AI Course
The Generative AI course is designed to provide you with practical, job-ready skills, equipping you to solve real-world challenges using cutting-edge AI techniques. Here’s what you’ll master:
Generative AI Techniques
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Build intelligent systems using advanced AI models like ChatGPT and Stable Diffusion to generate text, images, and other content.
LLM Proficiency
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Work with Large Language Models (LLMs), fine-tuning them for conversational AI, semantic search, and more.
Prompt Engineering
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Design and optimize prompts to extract the best possible results from AI systems.
Semantic Search Optimization
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Master techniques like vector embeddings to build high-performance search systems.
Multimodal Learning
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Integrate text, images, and audio to create unified AI applications for groundbreaking solutions.
Responsible AI Practices
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Develop ethical and scalable AI systems, ensuring safe and responsible AI deployments.
Cloud Deployment
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Scale and deploy AI applications using cloud services like AWS and Azure.
Application Development
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Build and deploy functional applications, including chatbots, image generators, and recommender systems.
Programming Skills You’ll Strengthen
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Python Mastery: Gain a solid foundation in Python, covering data structures, advanced programming, and best practices.
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Data Handling: Use libraries like Pandas and NumPy for data cleaning, analysis, and preprocessing.
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API Integration: Integrate OpenAI APIs and others to build robust AI applications.
Tools You Will Learn
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ChatGPT: Build conversational AI systems for real-time interactions and recommendations.
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LangChain: Design complex AI workflows, such as knowledge retrieval systems, by chaining prompts, memory, and external tools.
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Huggingface: Fine-tune pre-trained models for domain-specific tasks like text classification and sentiment analysis.
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Stable Diffusion: Generate high-quality, customized images for creative projects using advanced diffusion models.
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OpenAI APIs: Integrate AI models for tasks like text completion and code generation.
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ChromaDB: Utilize vector databases for efficient semantic search systems.
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AWS & Azure Cloud Services: Learn to deploy and scale AI applications using cloud platforms for real-world efficiency.
Career Outcomes of the Advanced Certificate in Generative AI
Completing the Advanced Certificate Program in Generative AI opens up numerous career opportunities, with increasing demand for professionals skilled in this cutting-edge field. Below are some of the lucrative roles you can pursue after completing the program.
Expected Salary Range:
In India:
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Generative AI Specialist: INR 5L to INR 26L
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Machine Learning Engineer: INR 6L to INR 18L
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AI Product Manager: INR 22.8L to INR 31L
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Data Scientist (AI-Focused): INR 12L to INR 25L
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AI Research Scientist: INR 5L to INR 15L
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AI Data Analyst: INR 5L to INR 10L
In the USA:
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Generative AI Specialist: USD 38k (INR 32L) to USD 191.5k (INR 1.61Cr)
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Machine Learning Engineer: USD 83k (INR 70L) to USD 163k (INR 1.37Cr)
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AI Product Manager: USD 73k (INR 61.5L) to USD 1L (INR 84L)
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Data Scientist (AI-Focused): USD 77k (INR 65L) to USD 197.5k (INR 1.66Cr)
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AI Research Scientist: USD 99k (INR 83L) to USD 180k (INR 1.51Cr)
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AI Data Analyst: USD 103k (INR 86.8L) to USD 175k (INR 1.47Cr)
This certification will position you as an in-demand professional, helping you unlock a wide range of opportunities across industries globally.
How will Quantum Academy support you?
Quantum Academy provides comprehensive support throughout your journey in the Generative AI Certification Course, ensuring a smooth and enriching learning experience.
Dedicated Student Support Team:
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24/7 Helpdesk: Reach out anytime through the learning helpline for assistance.
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Urgent Queries: Use the ‘Call Back’ option for quick resolution of any time-sensitive concerns regarding the Generative AI program.
Q&A Forum for Generative AI Certification Course Students:
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Doubt Resolution: Quickly clarify doubts with peers, teaching assistants, and fellow students on the course forum.
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Personalized Feedback: Receive tailored feedback on assignments and case studies to improve your learning outcomes.
Industry Expert Guidance & Feedback:
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Specialized Feedback: Get expert reviews and guidance on your projects and assignments, helping you refine your skills.
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Live Classes: Attend regular live sessions with industry experts to address doubts and discuss key concepts in-depth.
Practical Learning & Networking:
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Industry Discussions: Engage in discussions on current trends and challenges in Generative AI, enhancing your knowledge and practical understanding.
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Mentorship: Connect with mentors through group chats and one-on-one meetings for personalized learning and career advice.
With these dedicated support structures in place, Quantum Academy ensures you have all the resources to succeed in the Generative AI program.
Why Choose Online Learning for Generative AI Courses?
With the global Generative AI market projected to reach USD 356.10 billion by 2030, mastering Generative AI has become essential for advancing your career. But why should you choose online learning for such a transformative field? Here’s why:
1. Learn from Anywhere, Anytime
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Online learning removes geographical barriers, allowing you to access a world-class curriculum from the comfort of your home.
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The ChatGPT certification offers structured content with flexible learning hours, making it possible to upskill without disrupting your current job or lifestyle. Over the span of five months, you’ll invest just 120+ hours of learning.
2. Focused and Industry-Relevant Content
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Quantum Academy Generative AI courses are developed in collaboration with industry experts, integrating real-world case studies into the curriculum.
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Unlike traditional degrees that may cover outdated theory, these courses provide up-to-date, practical knowledge aligned with the latest industry trends.
3. Enhanced Retention and Learning Outcomes
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Studies show that e-learning boosts knowledge retention by 25-60% compared to traditional classroom training, which retains only 8-10%.
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With access to recorded sessions, live masterclasses, and interactive tools, you can revisit complex topics like LLMs and semantic search optimization until fully mastered.
4. Hands-On, Application-Based Learning
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Quantum Academy Generative AI courses involve 6+ industry-ready projects, where you’ll work with cutting-edge tools like LangChain, Stable Diffusion, and Huggingface.
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By the end of the course, you’ll not only understand concepts but also have a portfolio of projects to showcase your expertise to potential employers.
5. Cost-Effective and Accessible
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Online learning saves on relocation and accommodation costs, making it financially more accessible.
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With EMI options, the cost of upskilling remains affordable, ensuring high-quality education without financial strain.
6. Proven Career Impact
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According to PwC’s 2024 Global AI Jobs Barometer, AI jobs are being posted 3.5 times faster than any other job.
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People with AI skills earn 25% more than those without them in certain sectors.
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By earning Quantum Academy‘s Advanced Certificate in Generative AI, you’re positioning yourself for roles in a rapidly expanding job market. Salaries for AI specialists range from INR 7L to INR 23.3L in India and INR 65.8L to INR 1.8Cr in the US.
Online learning allows you to stay ahead in a fast-evolving field while continuing to excel in your current role, making it the smartest, most efficient way to master Generative AI.
How is the Advanced Generative AI Certification Program With Quantum Academy Different?
The Quantum Academy program stands out due to its comprehensive learning experience, round-the-clock support, and hands-on learning opportunities, making it a far more enriching and accessible choice compared to other generative AI certifications.
Your Instructors
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