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Generative AI

Our Generative AI course is your gateway to exploring the cutting-edge world of artificial intelligence creativity. Designed for learners of all levels, Join us to master the tools shaping the future of creativity and technology! With us you can get expertise in Generative AI, Prompt Engineering, LLM, Langchain, Liamaindex, RLHF etc. .


Curriculum:

  • Introduction to Generative AI
  • Business problems addressed by Generative AI (successes, shortcomings)
  • Overview of the LLM ecosystem
  • Accessing LLMs using cloud providers and vendors (Azure, AWS, GCP, Open AI, Anyscale, Groq). Key features of each platform, advantages & disadvantages
  • Options to access open LLMs on premise
  • Cost structures for LLMs & comparison across Azure, AWS Bedrock and GCP Vertex AI;
Free Demo
  • LLM Model Architectures – Overview & How are modern LLMs trained?
  • A taxonomy of business problems solved using LLMs
  • High-level overview of a workflow to develop enterprise LLM applications
  • Architecture of LLM based applications
Free Demo
  • Best practices for structuring prompts
  • Important prompt templates (Zero-shot, Few-shot, Chain-of-thought, Tree-of-thought, self- consistency, Rephrase & Respond)
  • Designing prompts to evaluate LLM outputs (LLM as a judge)
  • Overview of business use cases for classification
  • A workflow for text classification using LLMs
  • Implementing a sentiment classification pipeline
  • Metrics to evaluate prompts for classification tasks (accuracy, precision, recall, F1 score)
  • Implementing an aspect-based sentiment analysis (ABSA) pipeline Evaluation of ABSA
  • Introduction to Agents
  • ReAct
  • LangChain
  • LangChain Agents and Tools
  • Custom Agents, Custom ReAct Search Agent, Custom Agent ReAct search Agent Chain
  • Context Augmentation and LlmaIndex
  • Overview of business use cases for text generation
  • A workflow for text-text generation using LLMs
  • Metrics to evaluate text-to-text tasks (ROUGE, BERTScore, LLMs as raters)
  • Overview of business use-cases for RAG
  • A workflow for RAG using LLMs
  • Understanding embeddings and embedding models. How to choose embedding models?
  • Understanding vector databases. Overview of the ecosystem (Postgres Vector, Pinecone, ChromaDB)
  • Building and managing vector databases (CRUD Ops)
  • Designing a vector database for document question answering, Reranking and structured retrieval.
  • Prompt structure for RAG
  • Evaluating RAG outputs (groundedness and relevance)
  • Implement a classification application using LLMs
  • Implement a summarization application using LLMs
  • Implement a RAG application using LLMs
  • Architecture of Mistral 7b - An Overview
  • Why fine-tune? When is fine-tuning helpful?
  • Low Rank Adaptation (LoRA) and Quantized Low Ranked Adaptation (QLoRA)
  • Key LoRA parameters - alpha and r
  • Implementing LoRA to fine tune Mistral 7b
  • Evaluating fine-tuned LLMs (Perplexity, BERTScore)
  • Fine-tuning APIs, cost structures and data requirements
  • Overview of RLHF and its application in LLM training
  • Disadvantages of RLHF, overview of alternatives
  • Enterprise best practices on content filtering, and risk mitigation
  • Understanding how LLM providers process data (Example: Azure Open AI)
  • Costing considerations, Checking regional availability

Course Highlights


        No. of hours:

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Fee:

Online Virtual Class Room

Enroll in any above batch and attend live class at scheduled time

20000      




Upcoming Batches:



FAQ:

Who can learn this course?
Anyone with an interest in AI can learn Generative AI regardless of their background.
What are the prerequisites for this course?
To learn Generative AI you should have some basic skills of python, statics, programming, machine learning, probability, calculus, linear algebra etc.
What are career opportunities from this course?
You can apply for jobs like AI Developer, Gen AI Engineer, Machine Learning Engineer etc.
How long this course will take?
It will take 25 To 30 hours.
Will you provide soft copy material?
Yes, we will share the Power Point soft copy material and we will provide recording of our live classes also.
Will you start this course from scratch?
Yes. We will start this course from scratch.
Do you provide a certificate for Gen AI?
Yes we will provide Training Completion certificate
Do you provide projects to work on?
Yes, after completion of course you will have to work on 2 or 3 projects to work. It will hand on experience to clear the interviews confidently.


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Phone: +91-9999468662 +91-9999468661

Email: info@wifilearning.com

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