- New Announcement !!! Upcoming batch from 25th DEC 2025
The Generative AI Course is designed to help learners understand, build, and deploy AI systems that can generate text, images, code, audio, and more. This course covers the fundamentals of Artificial Intelligence, Machine Learning, Deep Learning, and modern Generative AI models such as Large Language Models (LLMs).
Starting from Upcoming Weekend!
09:00 pm – 11:00 pm Weekends
Fully Interactive Classroom Training
65,000 Students Enrolled
Generative AI is responsible for transforming how humans interact with technology by enabling machines to create, learn, and adapt. It assists professionals in generating high-quality outputs such as reports, marketing content, dashboards, code snippets, and predictive insights.
By leveraging advanced AI models, Generative AI helps organizations improve productivity, enhance creativity, and make data-driven decisions while maintaining ethical AI standards.
You will gain hands-on experience with real-world tools and frameworks used in Generative AI, learn prompt engineering, model fine-tuning, and explore practical business applications across industries. By the end of the course, learners will be able to design intelligent AI-powered solutions and use Generative AI effectively for automation, analytics, and innovation.
Students & fresh graduates
Data Analysts & Data Scientists
Digital Marketers & Content Creators
Software Developers
Business Professionals & Entrepreneurs
Anyone curious about AI & future technologies
Are you interested in pursuing a career as a data engineer, it’s essential to create a roadmap that outlines the key steps and milestones along the way. Join us for an inspiring conversation where we will deep dive into your own journey and discuss the clear cut roadmap to become a data engineer. Let’s start the journey to be a data engineer in the exciting world of data together!
Hi I am Sahil and I am super excited that you are reading this.
My Profile : Professionally, I am a Generative AI Specialist management consultant with over 8+ years of experience specializing in Service and product based organization. Experienced in all the phases of SDLC, Requirement Gathering. System, Application, database designing and deployment. I was trained by best mentor at Microsoft and now a days I leverage Data Engineering to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From this course you will get to know how I combine my working knowledge, experience and qualification background in computer science to deliver training step by step.
Introduction to Programming
Evolution of AI: Rule-based –> ML –> Deep Learning –> Generative AI
What is Generative AI and why it matters
Gen AI vs Traditional AI
Common use cases across industries
Limitations, risks, and responsible AI oveview
Neural Networks Basics
Transformers architecture (high-level, intuitive)
Attention mechanism explained simply
Tokens, embeddings, context window
Pre-training vs fine-tuning
What are LLMs (GPT, Claude, Gemini, LLaMA)
How LLMs generate text
Temperature, top-k, top-p concepts
Hallucinations and mitigation techniques
Prompt sensitivity and behaviour control
Prompt Anatomy and structure
Zero-shot, one-shot, few-shot prompting
System, user, assistant role
Chain-of-thought and reasoning prompts
Output Control: tone, format, constraints
Content Creation (blogs, emails, scripts)
Research, Summarization, and note-making
Resume, proposal, and report generation
Coding assistance and debugging
Data interpretation and debugging
Data interpretation using Gen AI
Text-to-image models (DALL-E, Midjourney, Stable Diffusion)
Image prompt techniques
Text-to-speech and speech-to-text
AI video generation overview
Ethical concerns in media generation
Fine-tuning vs prompt tuning
Using embeddings for knowledge retrieval
Intro to Retrieval Augmented Generation (RAG)
Connecting GenAI, with PDFs, docs, databases
Cost and performance consideration
OpenAI, Google, Meta ecosystem
No-code and low-code Gen AI Tools
AI Copilots and productivity tools
Browser extensions and workflow tools
Bias and fairness
Data privacy and security
Copyright and IP concerns
Human-in-the-loop design
Build a Gen AI-powered Solution
Examples: AI content Assistant, research bot, coding helper
Presentation and Evalution
We are dedicated to empowering professionals as well as freshers with the skills and knowledge which is needed to upgrade in the field of Data Science. Whether you’re a beginner or a professional, our structured training programs are well designed to handle all levels of expertise.
Are you ready to explore your Data Science adventure? Watch a live recorded demo video now and discover the endless possibilities way of teaching, way of handling queries. Awaiting for you at Palin Analytics!
Generative AI is a branch of AI that creates new content such as text, images, audio, video, and code using machine learning models.
Basic programming knowledge is helpful but not mandatory. The course starts from fundamentals.
Along with the high quality training you will get a chance to work on real time projects as well, with a proven record of high placement support. We Provide one of the best online Generative AI course.
Its Live interactive training, Ask your quesries on the go, no need to wait for doubt clearing.
you will have access to all the recordings, you can go through the recording as many times as you want.
During the training and after as well we will be on the same slack channel, where trainer and admin team will share study material, data, project, assignment.
There are many companies that offer internships in data analytics. Some of the well-known companies that provide internships in data analytics are:
Google: Google offers data analytics internships where you get to work on real-world data analysis projects and gain hands-on experience.
Microsoft: Microsoft provides internships in data analytics where you can learn about big data and machine learning.
Amazon: Amazon offers data analytics internships where you can learn how to analyze large datasets and use data to make business decisions.
IBM: IBM provides internships in data analytics where you can work on real-world projects and learn about data visualization, machine learning, and predictive modeling.
Deloitte: Deloitte offers internships in data analytics where you can gain experience in areas such as data analytics strategy, data governance, and data management.
PwC: PwC provides internships in data analytics where you can learn how to analyze data to identify trends, insights, and opportunities.
Accenture: Accenture offers internships in data analytics where you can work on projects related to data analytics, data management, and data visualization.
Facebook: Facebook provides internships in data analytics where you can gain experience in areas such as data modeling, data visualization, and data analysis.
These are just a few examples of companies that provide internships in data analytics. You can also search for internships in data analytics on job boards, company websites, and LinkedIn.
Yes, when used responsibly with proper guidelines, data privacy, and human oversight.
you can write your questions at info@midnightblue-locust-884012.hostingersite.com we will address your questions there.
Lets us know your experience, it will help others.