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  • Generative AI
2,364
Students Enrolled

Generative AI Mastery: Build Creative AI Systems

Best Generative AI training in Lucknow — fine-tune LLMs, craft production prompts, and deploy responsible AI features in hands-on summer training.


March 16, 2024
(84 Reviews)

What you'll learn

We built this Generative AI course at Softflew to teach real-world prompt engineering, fine-tuning, and safe deployment. Through practical labs and product-focused projects, you’ll create generative features, evaluate outputs for bias, and prepare portfolio-ready demos for apprenticeships and jobs.

In this course, you will:

  • Understand transformer internals, tokenization and model behaviour
  • Practice prompt engineering for consistent, controllable outputs
  • Fine-tune pretrained LLMs using LoRA, adapters, and lightweight techniques
  • Build retrieval-augmented generation (RAG) pipelines with vector stores
  • Implement multimodal workflows for text and image generation
  • Evaluate models: metrics, bias audits, and safety mitigations
  • Deploy model APIs with efficient inference and monitoring
  • Integrate generative features into web and mobile apps
  • Apply MLOps patterns for versioning, testing and rollback
  • Produce a portfolio-ready generative AI feature or demo

During Softflew’s Generative AI course and summer training in Lucknow, you’ll fine-tune models, build RAG systems, craft production-grade prompts, deploy APIs, evaluate outputs for bias, and produce portfolio demos recruiters and clients will notice immediately.

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What You’ll Need

  • Comfortable with Python and basic ML concepts
  • Laptop with 16GB RAM or cloud GPU access recommended
  • Jupyter notebooks and Git/GitHub familiarity
  • Basic linear algebra and probability understanding
  • Headset and webcam for live mentorship and group labs
  • Curiosity for experimentation and iterative prompt testing
  • Access to cloud GPU credits (guidance provided)
  • Commitment to complete hands-on labs and capstone project

Course Highlights

  • Hands-on prompt engineering labs with live model feedback
  • Fine-tuning workshops: LoRA, adapters and practical recipes
  • Building RAG systems with embeddings and vector DBs
  • Multimodal experiments: text→image and audio→text pipelines
  • Model evaluation, bias audits and safety best practices
  • Deploying scalable inference APIs, caching and monitoring
  • MLOps workflows: versioning, testing, CI and rollbacks
  • Final capstone: ship a production-ready generative AI feature

Meet Your Instructor

Zain Khan
Generative AI Engineer
  • 75,23 Reviews 4.4 Rating
  • 912 Students

Zain Khan brings 4+ yrs building production generative systems and lead data products. He blends prompt craft, fine-tuning techniques, and deployment labs so learners launch apprenticeship-ready AI features with real-world reliability and safety.

Review

5.0
Course Rating
63%
29%
6%
1%
1%
₹30000 ₹40000