The Professional Program in Data Science and Generative AI is a future-ready certification course designed to help learners master the creation, customization, and deployment of AI models that can autonomously generate text, images, videos, and insights.
This program provides in-depth knowledge of Large Language Models (LLMs), Transformers, Diffusion Models, and Prompt Engineering. You’ll work hands-on with leading tools and frameworks such as OpenAI GPT, LangChain, Hugging Face, and Stability AI to build real-world Generative AI applications across multiple domains.
By the end of this program, you will confidently fine-tune AI models for business use-cases, design intelligent automation systems, and develop innovative AI-powered solutions that drive efficiency and creativity. This course is ideal for data scientists, AI engineers, developers, and professionals who want to stay ahead in the evolving era of Generative Artificial Intelligence.
- Must hold a graduate degree in any discipline.
- Basic computer literacy and basic proficiency in English are required.
- Prior Coding Knowledge is Must.To enroll this course, you must have basic knowledge of machine learning and deep learning.
- A laptop or desktop with a stable internet connection.
- Enthusiasm to learn data analytics and AI applications through guided projects.
- Familiarity with Excel or basic statistics is an added advantage(Not Mandatory).
- Commitment to complete all live sessions, assignments, and real-time projects.
- Students and Fresh Graduates with IT or CSE stream aspiring to enter the AI.
- Working IT professionals seeking to upgrade their skills for career advancement in data domain.
- The people who are already working in Data Science Domain.
Whether you’re a beginner or looking for career transition or domain change, this course ensures you gain both technical expertise and strategic understanding to thrive in the field of data analytics and AI.
What You’ll Get?
Attend interactive live classes led by industry experts and never miss a session with access to high-quality recordings. Learn at your own pace while revisiting key concepts anytime, ensuring a complete and flexible learning experience.
Work on real-world projects under the mentorship of experienced professionals. Learn to implement Agile methodology, collaborate in sprints, and apply practical solutions — building skills that employers value and boosting your confidence to handle real industry challenges.
Our dedicated placement support ensures you never stop until you secure your dream job. From interview prep to company shortlisting, we guide you every step of the way, giving you the tools and confidence to succeed in the competitive job market.
Craft a professional, standout resume with personalized guidance from experts. Learn how to highlight your skills, projects, and achievements effectively — increasing your chances of catching recruiters’ attention without much stress and landing interviews.
Practice with mock interviews designed to simulate real industry scenarios. Receive constructive feedback and gain confidence, then get opportunities to attend live interviews with top companies — ensuring you’re fully prepared to excel.
Get unlimited access to all course materials, including notes, recordings, and resources. Revisit lessons anytime, stay updated with new content, and continue learning even after completing your course.
Join a vibrant community of learners, mentors, and industry experts. Collaborate, share knowledge, seek guidance, and grow together — because learning is better when it’s supported by a strong, like-minded network.
Absolutely! Our tech programs for beginners are designed for learners from all backgrounds — even if you have zero technical experience. We start with the fundamentals and gradually build your skills through hands-on projects and mentorship. Many of our successful learners come from non-technical fields like commerce, arts, and management. By the end of the course, you’ll gain industry-ready skills and a job-ready certification that opens doors to top tech roles.
Yes, definitely! A career gap doesn’t define your future — your skills do. Our training is 100% industry-aligned, helping you gain the latest tools, technologies, and certifications that companies are actively seeking. You’ll also receive dedicated career support — resume building, mock interviews, and placement guidance — to confidently re-enter the workforce with a strong profile and competitive salary.This ensures you can compete for high-paying tech jobs in India and globally, despite a career break.
We believe in complete transparency and learner satisfaction. If you’re not satisfied with the course within the first 7 days of enrollment, you can request a full refund — no questions asked. Beyond that, you can switch to another job-ready course or future batch that better suits your learning goals.
Our learners typically start with packages ranging from ₹4 LPA to ₹8 LPA, depending on the course and skill level. Advanced tracks like AI, Data Analytics, and Cloud Computing can lead to even higher salaries. Completing a job-ready certification from our program enhances your profile and helps you secure high-paying tech jobs in India.
Yes! Once you enroll, you get lifetime access to course materials and session replays. You can revisit the sessions, refresh your skills, and attend future batches at no extra cost. Continuous learning ensures you stay ahead in your career and fully leverage your career gap courses to re-enter the tech industry confidently.
Unlock the power of creativity with our Generative AI program, tailored for professionals eager to master AI-driven innovation. This course covers Large Language Models (LLMs), Diffusion Models, Transformers, and Prompt Engineering, guiding you to build intelligent systems that generate text, images, and real-world solutions autonomously.
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Module 1:Artificial Intelligence
Master the foundations of Generative AI by exploring large language models, diffusion models, prompt engineering, and fine-tuning techniques. Learn how to build AI systems capable of generating text, images, and insights — all through hands-on projects and real-world applications.
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Lecture 1.1:Anatomy Of Neural Network
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Lecture 1.2:Convolutional Neural Network
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Lecture 1.3:Region Based Convolution Nueral Network - RCNN
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Lecture 1.4:Fast RCNN, Faster-RCNN, Mask-RCNN, Cascade RCNN
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Lecture 1.5:Recurrent Nueral Network - Regression, Classification, Sentiment Analysis, Next Word Prediction
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Lecture 1.6:Gated Recurrent Unit
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Lecture 1.7:Long and Short Term Memory - LSTM
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Lecture 1.8:Overview Of Bi-Directional LSTM
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Lecture 1.9:Computer Vision and Image Processing
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Lecture 1.10:Image Segmentation - Semantic, Instance, Panopic
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Lecture 1.11:Sequence To Sequence Models
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Lecture 1.12:Transformers
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Lecture 1.13:Auto Encoders and Variational Auto Encoders
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Lecture 1.14:Generative Adversarial Networks & Its Varieties
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Lecture 1.15:Speech Recognition
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Lecture 1.16:Reinforcement Learning
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Module 2: Generative AI
Master the art of visual storytelling with Tableau and turn complex data into insightful, interactive dashboards.
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Lecture 2.1:Introduction to Generative AI
What is Generative AI and how it differs from traditional AI, Evolution from rule-based to generative models Key applications in text, image, audio, and video generation Overview of creativity, reasoning, and autonomy in AI systems
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Lecture 2.2:Foundations of Deep Learning
Neural networks, CNNs, RNNs, and Transformers, Encoder–Decoder architectures, Attention mechanism and self-attention, Understanding embeddings, tokenization, and vectorization
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Lecture 2.3:Large Language Models (LLMs)
Architecture of GPT, Gemini, Claude, and LLaMA, Training process of LLMs: pre-training vs fine-tuning, Reinforcement Learning from Human Feedback (RLHF), Evaluating LLM performance and limitations.
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Lecture 2.4:Generative Modeling Techniques
Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models (Stable Diffusion, DALL·E, Midjourney), Autoregressive and Masked Language Models
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Lecture 2.5:Image and Video Generation
Diffusion and GAN-based visual generation, Style transfer and text-to-image synthesis, Image inpainting, super-resolution, and upscaling, AI-driven animation and video content generation.
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Lecture 2.6:Audio and Speech Generation
Text-to-Speech (TTS) and Voice Cloning, Music and sound synthesis using deep learning, Audio diffusion models, Ethical boundaries in audio generation.
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Lecture 2.7:Fine-Tuning and Custom Model Development
Fine-tuning pre-trained models (GPT, Stable Diffusion, LLaMA), Parameter-efficient fine-tuning (PEFT, LoRA, QLoRA), Building domain-specific LLMs, Evaluation and deployment best practices
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Lecture 2.8:Frameworks and Tools for Generative AI
OpenAI GPT, Hugging Face Transformers, LangChain, Google Vertex AI, Azure OpenAI, AWS Bedrock, Stability AI, Replicate, Cohere, Anthropic, Integration with APIs and pipelines.
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Lecture 2.9:Ethics, Bias, and Responsible AI
AI hallucinations and misinformation, Data bias and ethical prompt design, Copyright and IP implications in AI-generated content, Transparency, accountability, and regulation frameworks.
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Lecture 2.10:Real-World Applications of Generative AI
Generative AI in marketing, education, healthcare, and design, Chatbots and conversational AI, Code generation (GitHub Copilot, Code Llama), Synthetic data generation for ML model training.
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Lecture 7.11:Building and Deploying Generative AI Systems
Model optimization and scalability, Using Docker, FastAPI, and Streamlit for deployment, API-based integrations (OpenAI API, Replicate API), Monitoring model performance and cost efficiency.
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Lecture 7.12:Future Trends in Generative AI
Multimodal AI (text–image–video integration), Autonomous agents and self-improving systems, Quantum generative models, Generative AI for simulation and digital twins.
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Module 3: Prompt Engieering For Generative AI
Master the art and science of prompt engineering to effectively communicate with large language models like GPT, Claude, and Gemini. Learn how to design precise, structured, and optimized prompts that enhance model accuracy, creativity, and reliability for diverse AI applications such as chatbots, automation, and content generation.
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Lecture 11.1: Introduction to Prompt Engineering and its Role in Data Analytics
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Lecture 11.2: Understanding Large Language Models (LLMs) like GPT and Gemini
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Lecture 11.3: Types of Prompts – Zero-Shot, One-Shot, and Few-Shot Learning
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Lecture 11.4: Crafting Effective Prompts for Data Exploration and Insights
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Lecture 11.5: Techniques to Improve Model Responses: Role, Context, and Constraints
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Lecture 11.6: Chain-of-Thought and Step-by-Step Reasoning Prompts
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Lecture 11.7: Prompt Templates for Data Cleaning, Summarization, and Insights Extraction
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Lecture 11.8: Prompt Engineering for SQL Query Generation and Automation
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Lecture 11.9: Evaluating and Refining Prompts for Accuracy and Relevance
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Lecture 11.10: Integrating Prompt Engineering with Big Data Tools and Workflows
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Lecture 11.11: Ethical Considerations and Bias Awareness in Prompt Design
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Lecture 11.12: Hands-on Practice: Building Custom Prompts for Analytical Tasks
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Module 4: Capstone Project
Apply your learning in a real-world project to solve business challenges using analytics and AI tools. Showcase your skills to potential employers with a fully functional project.
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Module 5: Live Project
Work on live datasets under expert guidance to gain industry-ready experience. Build confidence by implementing end-to-end solutions that mirror real business scenarios.
Hi! I’m Indira Kumar, a Data Scientist at EuclideanLab with a strong focus on building intelligent systems that create, innovate, and transform industries. I help learners understand how Large Language Models, Diffusion Models, and Prompt Engineering work behind the scenes. My sessions combine creativity with technical depth, guiding students to design AI solutions that generate text, images, and insights — shaping the future of intelligent automation.
The course content is extremely well-structured and practical. I went from having zero knowledge to confidently working with real-world datasets. The mentors are super supportive and explain every concept clearly!
I loved how interactive and hands-on the learning experience was! The live projects and case studies really helped me understand how data analytics works in the industry. Highly recommend it to anyone starting out in data analytics!
The trainers have deep industry knowledge and make even complex topics feel simple. The course gave me confidence to apply for data analyst roles and even build my own mini projects. Truly worth every minute!