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Generative AI Course

Generative AI Course

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Course Overview

Explore AI Generative to unlock creativity and innovation. Build Generative AI Skills, work onreal-world projects, and earn a Generative AI Certification.

Generative AI Course Objectives

  • Who can take Generative AI Training?

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  • What are the Generative AI Course prerequisites?

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  • Why should you learn Gen AI Course?

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  • What do you learn in the Gen AI Course?

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  • What are the benefits of doing Gen AI Online Training?

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Gen AI Course Key Features

  • Lifetime Access

    You get lifetime access to the Learning Management System (LMS) where presentations, assignments, and installation guide on Gen AI Course Training.

  • Assignments

    Trainers will assign some assignments soon after the completion of each and every topic that makes you master in the Gen AI Course and also helps you to clear certification.

  • Real-life Case Studies

    ITGuru trainers teach you each and every topic with real-world case studies that makes the learner understand in a better way

  • 24 x 7 Support

    We have 24x7 online support team to resolve all your queries.

  • Certification

    IT Guru team has designed the Gen AI Course in the way to clear Certification as per the latest syllabus to make your dream come true.

  • Job Assistance

    IT Guru supports learners in finding job opportunities with the newly acquired skill set. Online IT Guru has a varied bunch of Clientele around the globe, over 200+ companies in various countries like the USA and India. Soon after the completion of the course, the support team will pass your resumes to the companies and ensure that the learners will achieve 100% placements.

Gen AI Course Syllabus

  • Module 1: Introduction to AI
    • What is AI? Evolution & timeline.
    • ANI vs AGI vs ASI.
    • AI in real-world (finance, healthcare, travel, retail).
    • Scenario: Identify 5 AI systems in your daily life.
    • Assignment: Essay – “AI in my industry in 2030.”
  • Module 2: Types of AI
    • Reactive, Limited Memory, Theory of Mind, Self-aware.
    • Weak AI vs Strong AI.
    • Scenario: Classify Tesla Autopilot, Alexa, and ChatGPT.
  • Module 3: Machine Learning & Deep Learning
    • ML basics (supervised, unsupervised, reinforcement).
    • Deep learning intro, neural networks.
    • Difference ML vs DL.
    • Optional Lab (needed for coders): Train a small classifier on a dataset.
  • Module 4: Transformers & LLMs
    • The Transformer architecture (Attention, Self-Attention).
    • BERT, GPT, T5 explained.
    • What are LLMs? Why they work.
    • Lab (necessary): Test Hugging Face model (embedding, classification).
    • Scenario: Compare GPT-2 vs GPT-4 outputs.
  • Module 5: Generative AI
    • Text generation (LLMs), Image (Diffusion, DALL·E), Audio, Video.
    • GANs vs Diffusion.
    • Scenario: Brainstorm generative AI use cases in your domain.
    • Optional Lab: Text-to-image demo (DALL·E/Stable Diffusion).
  • Module 6: Prompt Engineering
    • Zero-shot, Few-shot, Chain-of-Thought.
    • Advanced prompting: Role, ReAct, Persona.
    • Scenario: Compete on best prompt for simplifying quantum physics.
    • Assignment: Build a “Prompt Library” for 3 use cases (marketing, support, research).
  • Module 7: Retrieval-Augmented Generation
    • Why RAG? Solving hallucination.
    • Embeddings, vector DBs (FAISS, Pinecone, Weaviate).
    • RAG pipeline explained.
    • Lab (necessary): Ingest a document → query with RAG.
    • Scenario: Compare answers with vs without RAG.
  • Module 8: AI Agents – Fundamentals
    • Difference between Chatbots & Agents.
    • Components: Memory, Tools, Reasoning, Planning.
    • Architectures: ReAct, AutoGPT, BabyAGI.
    • Scenario: Design a “3-day trip planning agent” workflow.
  • Module 9: Types of AI Agents

     

    • Conversational, Task-Oriented, Autonomous, Multi-Agent.
    • Scenario: Roleplay – Travel Agent + Finance Agent negotiate a plan.
    • Assignment: Match industries with best agent type.
  • Module 10: Frameworks & Tech Stack
    • LangChain, LlamaIndex, Semantic Kernel, Haystack.
    • Vector DBs, APIs, Cloud AI (Azure OpenAI, AWS Bedrock, GCP Vertex).
    • Optional Lab (only if infra available): Simple LangChain workflow with API.
    • Scenario: Compare LangChain vs LlamaIndex strengths.
  • Module 11: Building an AI Agent
    • Bringing it all together: memory, tools, APIs.
    • Best practices in orchestration.
    • Lab (necessary): Build Customer Support Agent with FAQ + escalation.
    • Scenario: Discuss how the same design could scale to an enterprise.
  • Module 12: Evaluation, Safety & Ethics
    • Hallucination, latency, cost optimization.
    • Moderation APIs, Responsible AI, Bias & fairness.
    • Scenario: Analyze a case where AI hiring system showed bias.
    • Assignment: Propose Responsible AI guidelines for a startup.
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Gen AI Course Projects

Project 1

Capstone Project

Learners must build and present an end-to-end AI Agent: 1. RAG + Prompting + Memory. 2. At least 1 external tool/API. 3. Industry-specific use case. Examples: 1. HR FAQ Bot. 2. Finance Tracker Agent. 3. Healthcare Triage Assistant. 4. Travel Booking Agent. Deliverables: Working Demo + Architecture Doc + Presentation.

Gen AI Course - Training Options

  • Preferred
    • High-quality content created by industry experts
    • Lifetime access to high-quality self-paced learning and live online class recordings
    • Flexible, affordable options
    • Get complete certification guidance
    • 24x7 assistance and support
    • Attend a Gen AI Course free demo before signing up
  • For Business
    • Self-Paced / Live Online training options
    • Flexible, affordable options
    • Learn as per full day schedule and/or flexible timings
    • Customise your own course content based on your project requirements
    • Get complete certification guidance
    • 24x7 assistance and support
More Lessons

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Gen AI Training - Upcoming Batches

  • Weekday

    28-08-2025

    8 AM IST
  • Weekend

    30-08-2025

    7 AM IST
  • Weekday

    01-09-2025

    08:00 PM IST
  • Weekday

    03-09-2025

    10 PM IST
  • Weekday

    05-09-2025

    7:30 AM IST
  • Weekday

    25-08-2025

    6:30 AM IST

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48950 55000

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Gen AI Training FAQ'S

  • Do we offer any discount on Gen AI Online Course?

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  • Can we schedule the Gen AI Online Training based upon your availability?

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  • What if I miss any of my classes for the Gen AI Course?

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  • Who will provide the environment to execute practicals in the Gen AI Training?

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  • What is the qualification of the Gen AI Course trainer?

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  • Do we offer placements to the Gen AI Course job seekers?

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  • Will IT Guru help you in getting certified in the Gen AI course?

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  • Do we accept the Gen AI Training fee in installments?

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    What are the Gen AI Training live projects that we provide?

Training options

  • Recommended

    Self-Paced Learning

    19360 22000

    Get Free Trial
    This course includes
    • 60 hours high-quality video
    • 2 projects
    • 10 downloadable resource
    • Lifetime access and 24x7 support
    • Access on your computer or mobile
    • Get certificate on course completion
  • Preffered

    Live Online Training

    Training options

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