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Generative AI Course

Generative AI Course Course

An in-depth, application-heavy masters-level program merging theory, prompt engineering, and hands-on LLM product builds for career launch.

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9.5/10 Highly Recommended

Generative AI Course on Edureka — An in-depth, application-heavy masters-level program merging theory, prompt engineering, and hands-on LLM product builds for career launch.

Pros

  • Covers entire pipeline: Python → LLMs → prompt design → deployed solutions.
  • Projects span various application domains: code review, RAG, API bots, finance analysis.
  • Combines live-led and self-paced sessions with capstone and robust support.

Cons

  • No free trial: access locked behind paid enrolment.
  • Heavy workload (~100+ hours) may challenge learners with limited time.

Generative AI Course Course

Platform: Edureka

Instructor: Unknown

What will you learn in Generative AI Course

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  • Python, Data Science & NLP foundations: Reinforce core tools and languages essential to generative AI, including Python scripting, NLP basics, and data preparation.

  • Generative AI principles & LLM understanding: Gain deep insight into LLM architecture, fine-tuning, and real-world model usage.

  • Master prompt engineering: Learn zero-shot, one-shot, few-shot prompting, prompt testing/debugging, and iterative optimization techniques.

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  • Deploy LLM-based applications: Build advanced AI solutions such as code-review assistants, RAG systems, API-interactive bots, and financial report analyzers using LangChain & Jupyter.

  • Professional support & career readiness: Live instruction + self-paced modules bring 24×7 support, a capstone, and certification

Program Overview

Phase 1: AI & Python Fundamentals

⏳ ~20 hours

  • Core Python, data handling, ML/NLP basics

  • Hands-on: Data cleaning, visualization, and baseline model tasks

Phase 2: LLMs & Generative AI Concepts

⏳ ~20 hours

  • Understanding model architectures, fine-tuning, metrics

  • Hands-on prompts, model comparisons, and experiment tracking

Phase 3: Prompt Engineering Mastery

⏳ ~25 hours

  • Zero-, one-, few-shot design, chain-of-thought, prompt evaluation

  • Hands-on: Prompt debugging, templates, iterative refinement workflows

Phase 4: Application Development

⏳ ~25 hours

  • Build projects: code-review assistant, RAG bot, finance analyzer, conversational API integrations

  • Hands-on: LangChain notebooks, Jupyter labs, real deployment

Phase 5: Capstone Project

⏳ ~20 hours

  • Full-stack LLM solution combining prompt engineering, application logic, and deployment

  • Hands-on: Complete project with live demo, code review, and feedback

Get certificate

Job Outlook

  • Lucrative Gen AI roles: Sets you up for AI Prompt Engineer, LLM Engineer, Generative AI Developer, AI Product Architect roles.

  • Industry demand: Prompt expertise is highly sought due to rapid enterprise LLM adoption and automation trends.

  • Career-ready deliverables: Multiple real-world projects in your portfolio—ready for technical interviews and hiring discussions.

  • Comprehensive career support: Includes mentor guidance, certificate, and assistance with job applications.

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