LLMOps And AIOps Bootcamp With 9+ End To End Projects
LLMOps And AIOps Bootcamp With 9+ End To End Projects. Jenkins CI/CD, Docker, K8s, AWS/GCP, Prometheus monitoring & vector DBs for production LLM deployment with real projects
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Overview of LLMOps And AIOps Bootcamp With 9+ End To End Projects
The LLMOps And AIOps Bootcamp With 9+ End To End Projects on Udemy, created by KRISHAI Technologies Private Limited and Sudhanshu Gusain, is a comprehensive 29.5-hour course updated in 2025. Featuring 29.5 hours of on-demand video and 16 downloadable resources, this bootcamp equips developers, data scientists, and MLOps engineers with the skills to deploy and manage large language models (LLMs) in production. Covering tools like Jenkins CI/CD, Docker, Kubernetes, AWS/GCP, Prometheus monitoring, and vector databases, it includes 9+ real-world projects like deploying HuggingFace Transformers and Groq API integrations. Ideal for AI professionals, it prepares you for high-demand roles with salaries averaging $100,000 to $150,000 annually, per industry data [web:8]. Basic Python and command-line knowledge is recommended.
What to Expect from LLMOps And AIOps Bootcamp With 9+ End To End Projects
This course delivers a hands-on, project-driven experience, guiding you through end-to-end LLM deployments, such as building scalable AI applications and monitoring performance with Prometheus and Grafana. You’ll work with modern tools like FastAPI, Kubernetes, and AWS/GCP to operationalize LLMs. The course is perfect for:
- Data scientists and MLOps engineers transitioning to LLMOps roles.
- Developers aiming to deploy AI applications in production environments.
- AI enthusiasts seeking practical skills in generative AI and AIOps.
With expert instruction from KRISHAI Technologies and Sudhanshu Gusain, you’ll gain practical experience through real-world projects, supported by 16 downloadable resources. The course offers lifetime access and a 30-day money-back guarantee for flexible learning.
What You Will Learn in LLMOps And AIOps Bootcamp With 9+ End To End Projects
- Build and deploy LLM applications using Jenkins CI/CD, Docker, and Kubernetes.
- Integrate HuggingFace Transformers and Groq API for fast LLM inference.
- Set up CI/CD pipelines with Jenkins and GitHub Actions for automated workflows.
- Use FastAPI to create secure, scalable inference endpoints for LLMs.
- Monitor AI systems with Prometheus, Grafana, and SonarQube for performance and quality.
- Manage infrastructure with Kubernetes (Minikube, GKE) and cloud platforms like AWS/GCP.
- Implement vector databases (e.g., FAISS, Chroma) for efficient LLM operations.
Why Choose LLMOps And AIOps Bootcamp With 9+ End To End Projects
This bootcamp excels with its practical, industry-focused approach, bridging the gap between AI development and production deployment. Unlike theoretical courses, it emphasizes real-world projects using tools employed by companies like Google and Microsoft. Instructors from KRISHAI Technologies and Sudhanshu Gusain bring extensive expertise, having trained thousands in AI and MLOps. With a focus on modern LLMOps practices, including vector databases and CI/CD pipelines, this course prepares you for cutting-edge AI roles. The coupon code AUGUST01 (valid until 31 August 2025) makes it an affordable investment for a high-ROI career.
Recommended Courses for LLMOps and AIOps Focus
MLOps with AWS – Bootcamp – Zero to Hero Series
- LLMOps Masterclass 2025 – Generative AI, MLOps, AIOps | Udemy
- Complete MLOps Bootcamp With 10+ End To End ML Projects | Udemy
- Mastering Generative AI: LLM Apps, LangChain, RAG & Chatbots | Udemy
- Ultimate Docker Bootcamp for ML, GenAI and Agentic AI | Udemy
Review of LLMOps And AIOps Bootcamp With 9+ End To End Projects
As the admin of this website, I highly recommend the LLMOps And AIOps Bootcamp With 9+ End To End Projects for its practical, job-ready focus. Here’s a breakdown of its strengths and weaknesses:
Pros:
- Comprehensive 29.5-hour curriculum with 9+ end-to-end LLM projects.
- Hands-on experience with modern tools like Docker, Kubernetes, and Prometheus.
- Expert instruction from KRISHAI Technologies and Sudhanshu Gusain.
- Includes 16 downloadable resources for practical learning.
Cons:
- The 29.5-hour duration may be intensive for learners with limited time.
- Requires basic Python and CLI knowledge, which may need preparation for beginners.
This course is a game-changer for anyone aiming to excel in LLMOps and AIOps.
Rating for LLMOps And AIOps Bootcamp With 9+ End To End Projects
- Content: 9.5/10 – In-depth, project-driven, and aligned with industry needs.
- Delivery: 9/10 – Engaging and practical, though fast-paced for some.
- Value: 9.5/10 – Affordable with coupon code AUGUST01 and high career ROI.
Additional Information from Search Insights for LLMOps And AIOps Bootcamp With 9+ End To End Projects
Boost your learning with these SEO-friendly keywords: LLMOps Course, AIOps Training, Jenkins CI/CD, Docker Kubernetes, AWS GCP, Prometheus Monitoring, Vector Databases, HuggingFace Transformers, FastAPI, Generative AI Deployment. These terms align with trending searches to help you find related resources and stay competitive in the AI industry.
Ready to master LLMOps and deploy production-ready AI? Enroll now with coupon code AUGUST01 (valid until 31 August 2025) and start building the future of generative AI!
