GenAI Pinnacle Plus Program

Industry-Focused Learning : Master GenAI and Agentic AI

  • 1:1 Mentorship with Generative AI experts
  • Advanced Curriculum with 200+ Hours of Learning
  • Master 26+ GenAI Tools and Libraries

300+

Hours of Immersive Learning

100%

Placement Assistance

30+

Hours of Live Workshops

75+

1:1 Expert-Led Mentorships

Genesis Launch Offer
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Become a GenAI and Agentic AI Expert : Start Now

How does the GenAI Pinnacle Plus Program Help You?

300+ Hours of Immersive Learning

  • Full-spectrum GenAI and Agentic AI learning with 14 modules
  • Master cutting-edge GenAI and Agentic AI frameworks and tools.

50+ Industry-Aligned Projects

  • Acquire real-world experience through projects that connect theory with practice.
  • Diverse projects designed to transform knowledge into expertise.

1:1 Expert Mentorship

  • Get expert insights from seasoned professionals
  • Accelerate your learning with a personalized roadmap to success

300+ Hours of Immersive Learning

  • Full-spectrum GenAI and Agentic AI learning with 14 modules
  • Master cutting-edge GenAI and Agentic AI frameworks and tools.

50+ Industry-Aligned Projects

  • Acquire real-world experience through projects that connect theory with practice.
  • Diverse projects designed to transform knowledge into expertise.

1:1 Expert Mentorship

  • Get expert insights from seasoned professionals
  • Accelerate your learning with a personalized roadmap to success

Curriculum Statistics

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50+ Projects

Hands-on learning with industry-relevant challenges.

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300+ Hours

In-depth GenAI and Agentic AI learning to transform your career

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40+ Libraries

Develop expertise in 40+ essential industry tools, libraries and frameworks.

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30+ Assignments

To turn knowledge into action

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75+ Mentorship Sessions

1:1 live mentorship session from GenAI and Agentic AI experts

Personalized Roadmap

Your ambition + our expertise = your custom path to mastery

  • 1Foundations for Generative AI
  • 2ML Foundations for Generative AI
  • 3DL Foundations for Generative AI
  • 4Build Applications using LLMs
  • 5Build RAG-Based Applications
  • 6Foundations for AI Agents
  • 7Getting Started with AI Agents using LangGraph, AutoGen & CrewAI
  • 8Build AI Agents using LangGraph, AutoGen & CrewAI
  • 9Real-World Projects on AI Agents
  • 10Finetune LLM-based applications
  • 11Deploy GenAI-Based Applications
  • 12Work with Diffusion Models
  • 13Decision-Making Essentials
  • 14Generative AI for Leaders
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Curriculum

From Python foundations to GenAI and Agentic AI : Master 14 cutting-edge modules

50+ Projects
300+ Hours
40+ Tools
30+ Assignments

  1. Introduction to Program

  2. Explore GenAI Universe

  3. Responsible AI in the Generative AI Era

  1. Coding Essentials for Agents

  2. Building Your First ML Model

  3. Foundational ML Algorithms

  1. Introduction to Deep Learning using PyTorch

  2. Natural Language Processing using PyTorch

  3. Computer Vision using PyTorch

  1. Getting Started with Large Language Models

  2. Introduction to LangChain for Agentic AI

  3. Prompt Engineering Essentials

  1. RAG Systems Essentials

  2. Building Production-Ready RAG systems using LlamaIndex

  3. Building End-to-End Generative AI Applications

  1. Anyone can Build AI Agents

  2. Architecting Agentic AI: Design Patterns and Practices (Upcoming)

  3. Building AI Agents from Scratch (Upcoming)

  4. Building AI Agents with LangChain (Upcoming)

  1. Building your First AI Agent with LangGraph

  2. Building your First AI Agent with AutoGen

  3. Building your First AI Agent with CrewAI

  1. Building Advanced AI Agents with LangGraph (Upcoming)

  2. Building Advanced AI Agents with AutoGen (Upcoming)

  3. Building Advanced AI Agents with CrewAI (Upcoming)

  4. Agentic RAG using LangGraph (Upcoming)

  1. Project using CrewAI - Multiagent (Upcoming)

  2. Project MultiAgent with LangGraph (Upcoming)

  3. Project using AutoGen - Planning (Upcoming)

  4. Project 5 using LangGraph - Reflective (Upcoming)

  1. Finetuning LLMs

  2. Training LLMs from Scratch

  3. Mastering Reinforcement Learning: Foundations to Human Feedback

  1. Mastering LLMOps: From Build to Deployment

  1. Getting started with Stable Diffusion

  2. Mastering Methods and Tools of Stable Diffusion

  3. Advanced Stable Diffusion Techniques

  1. Human Decision-Making and Its Biases

  2. Structured Approach to Problem Solving

  1. Generative AI for Business - A Leaders' Handbook

  2. Successful AI Strategies: A CEO's Perspective

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Libraries & Frameworks

Master 40+ GenAI and Agentic AI tools, libraries and frameworks for skill-building

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Build Your Portfolio with 50+ Industry-Relevant Projects

Accelerate your industry readiness with projects designed to tackle real-world challenges.

Learning Objective:

  • Train and evaluate LLMs from scratch
  • Learn LLM best practices and setup
  • Implement advanced computing strategies
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Training Large Language Models

Build Large Language Models (LLMs) like GPT-3.5 from scratch

Learning Objective:

  • Master building a ChatGPT-like LLM
  • Apply pretraining, finetuning, RLHF
  • Learn dialogue-optimized LLM practices
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ChatGPT Model Building

Develop a personalized ChatGPT model, starting from the basics up

Learning Objective:

  • Create a RAG-based QA Chatbot
  • Develop apps end-to-end with LangChain and Streamlit
  • Integrate app UI and backend seamlessly
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Building end-to-end RAG Apps

Craft RAG-based chatbots and Full-stack Applications with Integrated Frontend-backend synchronization

Learning Objective:

  • Construct Conversational Bots with LLMs including ChatGPT
  • Develop AI Instruments and Agents via LangChain
  • Establish and Manage LLM Applications using LangChain
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Build Conversational Apps and Agents

Create advanced conversational interfaces and intelligent Agents with LLMs and LangChain Technology

Learning Objective:

  • Enhance search accuracy in RAG systems through reranking
  • Apply RAG system techniques from cutting-edge studies
  • Construct RAG systems for diverse data types including tables, text, and images
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Advanced RAG System Development

Master precision in RAG systems across various data formats with State-of-the-art Techniques

Learning Objective:

  • Master prompt engineering techniques
  • Build chatbots using ChatGPT API
  • Implement LLMs on private data
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Prompt-Driven LLM Apps

Develop your own LLM Application using Prompt Engineering

Learning Objective:

  • Build RAG systems using LlamaIndex
  • Explore advanced LlamaIndex components
  • Fine-tune embeddings and retrieval
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RAG System Development

Create a production ready RAG systems on your private data

Learning Objective:

  • Efficient LLM finetuning with PEFT
  • Apply LoRA, QLoRA, soft prompting
  • Build instruction-following LLMs
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LLM PEFT Finetuning

Finetuning LLMs using Soft Prompting, Adaptor techniques using PEFT

Learning Objective:

  • Fine-tune Stable Diffusion for datasets
  • Apply best practices in customization
  • Understand Stable Diffusion intricacies
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Customized Diffusion Model Tuning

Finetune your own Stable Diffusion Models on custom dataset

Learning Objective:

  • Build Text to Image models with DreamBooth
  • Implement DreamBooth on personal datasets
  • Create context-specific visual models
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DreamBooth Image Creation

Build your own personalized Text to Image models using DreamBooth

Learning Objective:

  • Fine-tune diffusion models with ControlNets
  • Optimize InstructPix2Pix in diffusion models
  • Tailor models for specific datasets
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Diffusion Model Refinement

Finetune Diffusion models using ControlNets and InstructPix2Pix models

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Real Experience, Real Insights: Your Expert Mentors

Tap into decades of combined industry experience

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Chi Wang, Senior Staff Research Scientist at Google DeepMind, specializes in AI, machine learning, and data mining. Formerly a Principal Researcher at Microsoft Research, he holds a Ph.D. from UIUC and has driven advancements in web entity disambiguation, social network analysis, and AI-driven optimization.

Chi Wang

Senior Staff Research Scientist

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Miguel Otero Pedrido, a leader in AI and Machine Learning, is the Founder of The Neural Maze and a Senior Machine Learning Engineer at Dressipi. With 9 years of expertise in AI systems, MLOps, and AI agents, he has driven AI innovations at BBVA, Telefónica Tech, and Enagás.

Miguel Otero Pedrido

Founder

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Eleni Verteouri, GenAI Tech Lead and Director - Conversational Banking at UBS, drives AI innovation and strategic partnerships. With 12 years of expertise in Generative AI, product management, and risk modeling, she has led AI transformations in finance.

Eleni

GenAI Tech Lead and Director - Conversational Banking

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Mustafa Kadioglu is a prominent figure in the field of data science and artificial intelligence. He currently serves as a Lead Data Scientist and AI/ML Engineer at Cisco, where he has developed expertise in Python, data analysis, machine learning, and natural language processing (NLP)

Mustafa Kadioglu

Lead Data Scientist

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Srikanth Velamakanni is the Co-founder, Group Chief Executive and Vice Chairman of Fractal. Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500®companies.

Srikanth Velamakanni

Co-Founder, Group Chief Executive and Vice Chairman

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Sourab Mangrulkar, with a specialization in ML and Deep Learning from NIT Goa, has worked at Microsoft, Amazon, and Hugging Face, focusing on diverse AI challenges and contributing to open-source projects like Accelerate and PEFT.

Sourab Mangrulkar

ML Engineer & Applied Scientist

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Sandeep Singh, expert senior director at Bain & Company is a leader in AI and Computer Vision. He has pioneered advanced geospatial solutions in Silicon Valley, enhancing mapping, navigation, and sector-wide applications.

Sandeep Singh

Expert Senior Director

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Dipanjan has over 10+ years of hands-on and leadership industry experience as well as training, consulting and education initiatives in Data Science and Artificial Intelligence.

Dipanjan S.

Head of Community and Principal AI Scientist

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Bhaskarjit is an award-winning data scientist with a diverse background in multiple domains such as Retail, Airlines, Media & Entertainment, BFSI

Bhaskarjit Sarmah

Vice President

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Ravi is a Developer Advocate Enginneer at LlamaIndex. His involvement in the field of AI spans many years, marked by notable contributions in Natural Language Processing (NLP) and recommender systems.

Ravi Theja

Developer Advocate

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Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- world's 2nd largest Data Science coummunity.

Kunal Jain

Founder & CEO

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Aravind Pai, Senior Data Scientist at Analytics Vidhya, specializes in Generative AI, Deep Learning, Computer Vision, and NLP. He has developed impactful AI technologies across various sectors including sports and healthcare.

Aravind Pai

Senior Data Scientist

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Mani Kanteswara Rao Garlapati is an Associate Principal at Google, where he leads data science initiatives focused on fraud and spam detection across various Google products. With a strong background in machine learning and data science, he has previously held positions such as Lead Strategist at Google and Senior Data Scientist at Walmart Labs

Mani Garlapati

Associate Principal

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Sumit Jain is a seasoned professional in the fields of artificial intelligence and data science, currently working at Microsoft in the Data & Applied Sciences division. He specializes in real-time generative AI at scale and provides technical leadership and advisory services

Sumit Jain

Data & Applied Sciences

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Shahebaz Mohammad is a renowned Kaggle Grandmaster and LinkedIn Top ML Voice who currently works as a Lead Applied Machine Learning Engineer at Snorkel AI. He has established himself as an expert in the field of applied machine learning

Shahebaz Mohammad

Senior Applied ML Engineer

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Mayank Barnwal is a Senior Scientist at Tata Consultancy Services and an Adjunct Professor at IIT Bombay, specializing in control theory, machine learning, and optimization. With a Ph.D. from the University of Illinois at Urbana-Champaign, his research spans robust control algorithms, deep learning applications, and combinatorial optimization.

Mayank Barnwal

Senior Scientist

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Kartik Nighania, an MLOps Engineer at Typewise, brings over seven years of AI experience across computer vision, NLP, and DevOps. Formerly Head of Engineering at Pibit.ai, he led AI-driven automation and infrastructure scaling. His expertise in CI/CD pipelines was honed at HSBC Technology, and his academic work includes AI publications and projects like ML-driven crop health detection

Kartik Nighania

MLOps Engineer

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Lucas Soares is an AI Engineer at Otovo, focusing on AI-driven solutions through large language models (LLMs) and computer vision. With 6+ years of experience across sectors like biometrics and retail, he excels in developing machine learning tools

Lucas Soares

AI Engineer

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Maarten Grootendorst is a Senior Clinical Data Scientist at IKNL (Netherlands Comprehensive Cancer Organization). He holds three master’s degrees in organizational psychology, clinical psychology, and data science, which he leverages to communicate complex machine-learning concepts to a wide audience

Maarten Grootendorst

Senior Clinical Data Scientist

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Qingyun Wu, founder of AG2 (formerly AutoGen) and Assistant Professor at Penn State University, brings over seven years of expertise in AI and machine learning. Her work spans AI agents, reinforcement learning, and algorithm optimization, with roles at Microsoft, Adobe, and Yahoo driving advancements in AI technologies.

Qingyun Wu

Creator and Founder

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Alessandro Romano, Senior Data Scientist at Kuehne+Nagel, has over six years of experience in AI and data science. With roles at FREE NOW and Cargonexx GmbH, he specializes in building AI-driven solutions and AI agents to automate workflows and enhance efficiency. A skilled public speaker, Alessandro effectively bridges technical concepts with diverse audiences.

Alessandro Romano

Senior Data Scientist

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Pio Scelina is an experienced AI Agent developer with over 6 years of expertise in creating advanced AI solutions. His strong research background keeps him at the leading edge of new tools and applications, constantly driving innovation. Known for his passion for exploring emerging technologies and enhancing AI-driven experiences, Pio has established a reputation as a trailblazer in AI-powered transformation.

Pio Scelina

AI Agent Developer

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Kamil Ruczynski is a seasoned AI Agent developer with over 7 years of experience in cutting-edge AI organisations. His deep expertise in research and development enables him to stay ahead of emerging trends and technologies, driving continuous innovation. Renowned for his dedication to pushing the boundaries of AI-driven applications, Kamil has earned recognition as a pioneer in creating transformative AI experiences

Kamil Ruczynski

AI Agent Developer

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Prashant Sahu, an IIT Bombay alumnus and seasoned Corporate Trainer in AI & ML, has over 17 years of diverse experience in areas like research, automation, and cryptography. His expertise extends to developing comprehensive Data Science training materials, including curriculum, case studies, and projects.

Prashant Sahu

Manager - Data Science - Instructor

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Apoorv Vishnoi, a seasoned professional with over 13 years of experience, including more than 10 years in Machine Learning and AI. He holds an MBA from the prestigious Indian School of Business and several certifications in Data Science and Deep Learning. His ability to simplify complex concepts in Data Science and Machine Learning has established him as a respected and influential instructor.

Apoorv Vishnoi

Head - Training Initiative

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Instructor-Led Live Workshops

Live GenAI and Agentic AI workshops : Solve real-world problems with expert insights

Learning Objective:

  • Supervised & Unsupervised ML Algorithms, with use cases
  • Classification & Regression Metrics
  • Techniques of preventing models from overfitting
  • Model Selection and comparison
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Machine Learning for Generative AI

Learn Machine Learning for Generative AI

Learning Objective:

  • NLU Topics (POS Tagging, NER tags, noun chunking)
  • NLP Basics
  • End-to-end Sentiment Analysis project using ML algorithms and ANN
  • Advanced Sequence learning neural
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NLP using Deep Learning

Implement NLP using Deep Learning

Learning Objective:

  • Fundamentals of Transformer Architecture
  • Adanced Model Architectures
  • Techniques for reducing model size
  • Applications in translation, summarization, and content generation
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Advancing from Transformers to LLMs

Learn fundamentals of transformer architechture

Learning Objective:

  • Basics of Prompt Engineering & Understanding the role of prompts in AI interactions
  • Types of prompts, techniques for crafting effective prompts
  • Designing prompts for specific applications like translation, summarization, and content creation
  • Tailored prompts for tasks like question answering and data extraction
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Prompt Engineering

Learn prompt engineering

Learning Objective:

  • Intro to RAG
  • Different document loaders, tokenisations and chunking strategies in Langchain
  • Word embedding techniques & creating RAG-based LLM apps
  • Experimenting open-source and proprietary LLMs
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Advanced RAG using Langchain

Implement RAG using langchain

Learning Objective:

  • Basics of Fine-tuning
  • Data Preparation for Fine-tuning
  • Hyperparameter tuning for optimal performance, PEFT, other optimization tricks
  • Dealing with overfitting during the fine-tuning process
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Fine Tuning LLMs

Learn to finetune large language models

AV Assisted Placements

Our alumni universe: 1200+ professionals making their mark

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Assistant Manager - Analytics

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Consultant

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Assistant Manager - Analytics

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Rohit Pant

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Assistant Manager - Analytics

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Associate Consultant

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Industry-Recognized Certification

Get certified in GenAI and Agentic AI from Analytics Vidhya, Fractal and Western State University, and share your achievement with the world

Our Advisors

Our advisors ensure our programs are innovative, impactful, and industry-aligned.

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Prof. Tom Yeh leads the Imagine AI Lab at the University of Colorado Boulder, focusing on AI, HCI, Education, Ethics, and Neuroscience. He is the author of the popular AI by Hand series, has over 150 publications, and has received numerous university awards.

Dr. Tom Yeh

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Dr. Andrei Lopatenko, with over two decades of experience in the technology sector, has led pioneering research and development in artificial intelligence, machine learning, and natural language processing at prominent organizations including Google, Apple, Walmart, eBay, and Zillow, as well as at the startup Ozlo, which was subsequently acquired by Facebook. He earned his PhD in Computer Science from the University of Manchester.

Andrei Lopatenko

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Dr. Kirk Borne is a prominent data scientist with 40+ years of experience, founder of Data Leadership Group LLC, and an AI thought leader, career data professional, and research astrophysicist who has contributed to NASA's space science programs.

Dr. Kirk Borne

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AV Learners Spotlight

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All my expectations from the course and workshops have been fulfilled

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

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I found future learning with Gen AI very interesting

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

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The program has all the cutting edge technologies covered

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

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I really value the personalised mentorship sessions which came with the program

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

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Mentors of Analytics Vidhya have business experience and are practitioners themselves

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

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The content Analytics Vidhya provided was far better than any other organisation

I've had the pleasure of witnessing the exceptional talent nurtured by Analytics Vidhya's hackathons.

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Money Back Guarantee!

GenAI Pinnacle Plus program comes with 7 days no questions asked Money back Guarantee. If the program is bought in pre-launch offer or on discounted price, then the fee paid is non-refundable. For more T&C, Click here

Invest in Your Future Today

  • Exclusive access to AI tools builds expertise with cutting-edge frameworks.
  • Boost your career, fast-track your growth with personalized mentorship.
  • Enroll now and start your journey to becoming a Generative AI and Agentic AI expert.
  • Work on 10+ Real-world Projects
  • 15+ Engaging Assignments
  • 19+ Expertly Crafted Modules

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Frequently Asked Questions

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The GenAI Pinnacle Plus Program sets itself apart by offering a unique combination of 1:1 mentorship, over 300 hours of advanced Generative AI and Agentic AI learning, and real-world project experience. This GenAI certification program focuses on hands-on learning using more than 40 Generative AI tools and frameworks, ensuring you stay ahead in the evolving AI industry.

The GenAI Pinnacle Plus Program stands out by offering comprehensive coverage of cutting-edge technology topics such as AI Agents and other emerging trends that are making headlines and are poised to dominate the market in the coming months. It ensures you are equipped with the most relevant and forward-thinking skills to excel in a rapidly evolving AI landscape.

This GenAI Pinnacle Plus Program is perfect for professionals, students, and AI enthusiasts who want to specialize in Generative AI, enhance their career prospects in GenAI and AI Agents, or remain at the forefront of technology.

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