Generative AI & AI Engineering
Learn to build production AI applications using LLMs, RAG pipelines, and vector databases. Master prompt engineering, fine-tuning, and deploying AI SaaS products that solve real business problems.
What you will learn
- Build AI SaaS products
- RAG pipeline development
- LLM fine-tuning
- AI product deployment
Tools & Technologies Covered
Course Curriculum
- ✓Python advanced patterns
- ✓Data structures
- ✓Async programming
- ✓Package management
- ✓Testing frameworks
Batch Details
Placement Assistance
Our Graduates' Official Certifications
PlaceMate credentials stand out. Review authentic certificates earned by students through industrial training, rigorous internships, and globally recognized curriculum partners.
Certificate of Industrial Training
Awarded for demonstrating dedication, active participation, and outstanding professionalism in an intensive 1-Month Industrial Training program.
Certificate of Internship
Awarded for successfully completing the Psychology Internship, demonstrating consistency, active participation, and user research innovation.
IBM Cloud Fundamental
Issued by IBM to certify successful completion and passing grade in the IBM Cloud Fundamental curriculum, verifying expertise in core cloud models and services.
Student Reviews
“Built a production RAG pipeline that processes 10K documents daily. The hands-on approach with LangChain and vector databases was exactly what the industry demands.”
“The fine-tuning module alone was worth the entire program. I deployed a custom model that reduced our content moderation costs by 60 percent at my current company.”
“Started with basic Python knowledge and left building full AI SaaS products. The mentor feedback on architecture decisions was invaluable for my growth as an engineer.”
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