Generative AI Course
Generative AI Course: Hands-On Training for Career Advancement
100 Hours
1.5 Months
14 June
Noida
15 Mar
Interactive Live Online
21 June
Interactive Live Online
29 Mar
Gurgaon
Courses Included
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
Overview
Interactive Live Training
36 Hours
Self Study & Practice
Projects & Assignments
Assessments & Projects
4 Hours
With AI set to disrupt 80% of current job roles in the next decade, upskilling is no longer an option—it’s your ticket to staying relevant and thriving in the future workforce.
Generative AI, or GenAI, is at the center of every innovation, and companies of all sizes are either investing or exploring GenAI to achieve business goals faster and more efficiently. The advent of GenAI has revolutionized various job roles across every industry and sector. It is your turn to become a GenAI expert and take lead in the world of AI.
The Generative AI programs at AnalytixLabs aim to offer a holistic learning experience that will prepare future AI experts and leaders. Whether you have a technical background or not, there is a learning track designed for you.
GenAI for Tech Professionals
Both learning tracks are power-packed and offer a crash course in Generative AI, covering everything from foundational concepts to advanced applications, industry use cases, and actionable strategies for real-world impact.
For comprehensive details about the AI for Managers and Leaders course, please visit this page.
About Generative AI Education Programs at AnalytixLabs
The GenAI industry is experiencing a seismic shift as more businesses lock in budgets to experiment with and invest in AI solutions. Companies are looking to leverage AI’s predictive capabilities and tie them to numbers to fuel strategic business growth. To do this, skilled AI and data experts must be on the frontline.
Looking for the best generative AI courses near you?
Our Generative AI training is designed to equip you with the knowledge and skills to be at the forefront of this revolution. You’ll learn how to:
Understand core AI concepts and apply them across diverse industries
Identify and evaluate potential business opportunities for AI implementation
Build AI-driven business strategies to enhance business models and decision-making
Take the lead in executing and managing AI projects within the organization and deliver successful outcomes
Communicate AI research, strategies, and findings effectively to stakeholders and leverage its benefits to drive business value
Choose the learning program that fits you the most –
We offer two specialized programs tailored for different career objectives. Choose the learning program that fits you the most:
1. GenAI for Tech Professionals:Â Designed for individuals with a technical background, this program focuses on developing in-depth expertise in Generative AI.
Learning Objective:Â Build technical proficiency from foundational knowledge to hands-on implementation, enabling participants to design, develop, and deploy AI-driven solutions.
2. AI for Leaders& Managers:Â Ideal for non-technical professionals, this program provides a strategic understanding of Generative AI.
Objective:Â Equip leaders to drive AI adoption, optimize business processes, and craft impactful AI-driven strategies for organizational success.
Choose the learning track that best aligns with your profile. GenAI for Tech Professionals includes Python programming modules and modules that focus on implementing programming to build AI models.
The AI for Leaders and Managers is designed for AI thinkers to be more involved in business decision-making, automating business operations, collaborating with multi-functioning teams, and delivering strategies that will drive business growth. With zero programming involved, this course is ideal for anyone with a nontechnical background.
GenAI Course Highlights
The curriculum focuses on understanding Generative AI, Business Applications of Generative AI, Developing generative AI strategy, Planning and Managing generative AI projects, Future trends of generative AI, and mastering Prompt Engineering.
You will gain hands-on experience with cutting-edge generative tools, including ChatGPT, Llama, Dall-E, Gemini, Midjourney, Stable Diffusion, and Microsoft OpenAI.
By the end of the course, you will be able to
Master the fundamentals to learn Generative AI and apply it across industries
Develop practical skills in using Generative AI tools and platforms
Build and deploy Generative AI models to solve real-world business problems
Evaluate the ethical and societal implications of Generative AI
Learning Prerequisites
Our Generative AI course for professionals and developers includes learning the basics of GenAI and essential tools and understanding how GenAI can propel business growth by combining data and AI’s predictive capabilities.
This course is ideal for anyone looking to build a career or transition into generative AI roles. You will learn to implement and leverage genAI to achieve business goals faster, manage projects better, and harness cloud AI solutions. By the end of the course, you will be a pro with GenAI tools. Prepare to experience learning through hands-on projects and assignments rooted in core business challenges that enterprises face daily.
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Course Curriculum
The learning blocks are arranged agilely so that learning is smooth and you have enough time to learn, implement, and experiment through various hands-on projects. A bird’s eye view of the course curriculum is as follows:
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AI Foundations
- AI vs. Automation vs. Analytics
- AI, Machine Learning (ML), Deep Learning (DL) – differences & connections
- Narrow AI vs. General AI vs. Super AI
- Core AI applications (NLP, CV, Robotics, Predictive Analytics)
Generative AI Basics
- Traditional AI vs. Gen AI
- Every day, GenAI applications
- How does GenAI work?
- Key models (GPT, Claude, Gemini, LLaMA)
- Text generation & completion techniques
- Prompt Engineering basics: role, task, context
- Core Prompting Tasks (Text generation & completion, Summarization (short & detailed), Rewriting in different tones/styles)
- Prompt Structures (instructional, role-based)
- Prompting Techniques (Zero-shot prompting, Few-shot prompting, Chain of Thought (CoT) prompting, Role Prompting, Multi-turn interactions (context retention), etc..
- Limitations of prompting
- Evaluating GenAI output quality
Large Language Models (LLMs): how they work
- Introduction to transformers
- LLMs vs. SLMs
- Popular LLMs (GPT, Claude, Gemini, LLaMA) – Overview – Strengths & Limitations
- Introduction to Embeddings
Introduction to Agentic AI
- No-code AI overview
- Intro to workflow automation tools
- Introduction to Zapier basics (triggers & actions), n8n workflow design, Make.com integrations
- AI-powered productivity with Notion AI for task automation & summarization, Airtable for data storage & automation, Glide for mobile app prototyping, etc.
- Design & Storytelling Tools
- Integrating AI into everyday workflows – Linking AI workflows with business processes
- Prototyping with no-code/low-code tools
What is an AI Agent? How it differs from chatbots
- Agentic AI vs. AI Agents
- Key components of Agentic AI: memory, planning, tool use, autonomy
- AI Orchestration with no-code tools
- Agent frameworks
AI challenges: Bias, hallucination, privacy & security issues
- Responsible AI principles: Fairness, Accountability, Transparency, Explainability
- Global AI Ethics Frameworks
- Safe & Responsible usage
- Responsible AI: Guardrails
Who Should Do?
This course is specifically designed for:
- AI Career Aspirants: Gain practical skills in no-code AI development to build a strong foundation for future roles in AI-driven industries.
- Working Professionals and Managers: Learn to enhance productivity, streamline workflows, and adopt artificial intelligence within teams.
- Business Leaders and Entrepreneurs: Explore strategic adoption of AI-driven solutions for growth, innovation, and competitive advantage.
- Small and Medium Businesses (SMBs): Discover cost-effective, scalable, and intelligent solutions to optimize operations without extensive technical resources.
Job Roles
- Generative AI Engineer
- Machine Learning Engineer
- NLP Engineer
- Data Scientist
- AI Business Analyst
- AI Consultant
Key Skills
- AI and Machine Learning Fundamentals
- Deep Learning
- Natural Language Processing (NLP)
- Generative Models
- Large Language Models (LLMs)
- Prompt Engineering
- Python Programming
- Cloud Platforms
- Data Analysis and Visualization
- AI Fundamentals
- Data Science
- AI Tools
- AI Model Development
- AI Engineering
- Check your eligibility
Learning Objectives
- Understand AI & Generative AI Foundations
- Develop Prompting & Generative AI Skills
- Apply No-Code/Low-Code AI Tools
- Understand Responsible & Ethical AI
- Integrate Learning into Real-World Use Cases
Learning Outcomes
After completing the program, participants will be able to:
- Explain key AI and Generative AI concepts and communicate their business relevance confidently.
- Design and refine prompts to generate high-quality outputs for text, content, and problem-solving tasks.
- Use LLMs and no-code tools to create automated workflows that save time and improve productivity.
- Identify business opportunities for AI adoption and evaluate ROI of potential use cases in their functions.
- Critically assess AI outputs for bias, reliability, and compliance with ethical guidelines.
- Deliver a prototype AI assistant that combines chat + workflow automation (via n8n/Notion/Zapier/Glide).
Projects
- Objective: Build an AI assistant that helps with productivity using GenAI + No-Code Automation using tools like zappier, make or n8n etc..
- Problem Identification: Choose a real productivity pain point (e.g., too many emails, meeting overload, research notes etc..)
- Workflow Design: Build automation using Zapier/n8n to connect AI with apps (Notion, Google Docs, Slack).
- Chatbot Assistant: Use ChatGPT/Notion AI for contextual Question & answers.
- Interface Prototype: Build front-end in Glide/Tome AI.
- Final Presentation & Demo: Live demo + explanation of workflow + reflection on ethics
- Should automate at least 3 tasks (e.g., meeting notes → task assignment → daily summary email)
Assignments
- Add extra features: e.g., voice input, task prioritization, or reminders.
- Explore alternative integrations (Slack, WhatsApp bots).
- Document your workflow and share video demo.
Projects
- Goal: Build an AI assistant for productivity using GenAI + no-code automation (Zapier, Make, n8n).
- Marketing & Sales data manipulation and analysis
- Sports equipment retail data analysis and visualization
- Consumer electronics pricing data analysis & visualization
- Sports event analysis and reporting
In addition to multiple case studies used for class sessions, course includes following assignments and projects for self-study and hands-on skills.
Programming Tools and Languages
Certification
​AnalytixLabs certifications are highly regarded in the industry due to our extensive domain expertise. As India’s leading Data Science and AI institute, we must maintain the integrity of our certification process.
​Certification will be granted only if the specified requirements within the course timelines are met, which include completing case studies and multiple-choice questions (MCQs), among others. Each candidate will have two attempts to pass each assessment.
​We aim to provide trainees with essential hands-on experience to prepare them for industry challenges.
​Certification must be secured within one year of course registration.
Learning Mode & Fees
Fully Interactive Live Online
₹ 20,000 + taxes
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
- Fees payable in installment​s
- Cost-effective courses with high ROI, making it worth every penny you invest.
Career Support
Profile Building
Tailored guidance to update your professional profile, aligning it with industry expectations and showcasing your strengths.
Interview Preparation
This will be followed by one to one interview preparation along with mock interviews (if required).
Continuous Support
There will be continuous support from our side for as long as you need it. Most of our students do get multiple interview calls and good career options based on the skills they learn during the course.
How To Apply
select your course, complete the registration form, and make payment.
Submit your application
Submit your application by filling out the form, providing necessary details, and clicking submit to complete the process.
Give a selection test
Take the selection test to demonstrate your skills and knowledge. This will help us assess your readiness for the course.
Reserve your seat
Reserve your seat today to secure your spot in the course. Act fast, as spaces are limited and fill quickly!
Payment
Complete your payment to finalize your enrollment in the course. Choose your preferred payment method and follow the prompts to proceed.
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.Â
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Frequently Asked Questions
What if I miss a class?
Our certification for Business Analytics course spans 5-6 months and placement readiness program. The course consists of four main components as part of the curriculum:
- Data visualization and analytics
- Python for data analytics
- Predictive modeling and Machine Learning
- R for Data Science [optional eLearning]
These four-course components will prepare you to acquire raw data, clean and analyze it, identify patterns and build predictive models, and visually represent your findings for any layman to understand.
What if I share my learning account details with a friend?
No. This course is not a master’s program. It is a certification course that is shorter in duration than an MBA course. Also, an MBA [Masters of Business Administration] course is more on the administrative side of the business, while the core of this course is understanding data and enabling data-driven business decisions.
If you want to pursue a Master’s program, you may check our ECTS-accredited post-graduation programs in Analytics and Data Science.
For how long class recordings and LMS access is available?
Yes. Statistics show that job opportunities for business analysts are growing y-o-y. Not just business analysts, extended roles like project managers or business administrators are also becoming extremely popular.
Moreover, analytics skills are becoming ubiquitous, and various job roles consider data analytics skills almost mandatory. So, learning business analytics can also be rewarding now and in the future.
Can I download the recordings?
The Business Analytics course at AnalytixLabs has been touted as one of India’s best business analytics certification courses since 2013 by various prestigious publications. Our course curriculum is designed in collaboration with industry experts and is updated according to the present market scenario.
For additional learning, our team of experts will continue to share free and easy-to-access resources and reading materials for easy upskilling. Meanwhile, you can read our blogs on Business Analytics and related topics.
How do I get the course completion certificate?
You can expect to acquire core skills like analyzing a business problem and understanding its core reason. Simultaneously, you will learn to develop an analytical approach toward businesses and drive data-driven decisions.
Do you provide guaranteed placements?
Beginner candidates from various quantitative backgrounds like Engineering, Finance, Maths, Commerce and Business Management who are looking for Business Analytics training to start their career in Analytics and Data Science.
This course is designed for anyone willing to learn and upskill. No prior knowledge or training is required.
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