Overview
Comprehensive Learning Path
FutureOps: GenAI + Agentic AI for DevOps Engineers is a 100-hour learning program aimed at those who specialize in DevOps, Cloud, Linux, and other infrastructure and would like to enhance their AI engineering skills.
Starting from the basics of Python, Data Science, Machine Learning, Deep Learning, and LLM to Prompt Engineering, GenAI applications, RAG, Vector Databases, and Agentic AI, the course is a good Agentic AI learning program for the professionals to develop the respective competencies.
Also, the participants will be trained in LangChain, LangGraph, CrewAI, AutoGen, Open-Source LLMs, MLOps, LLMOps, Docker, Kubernetes, and Cloud AI. This means that they will learn how to develop and deploy production-level AI applications. Thus, this course is perfectly suited for those professionals who are preparing for the AI Engineer Certification and want to have a career in the infrastructure machine learning area.
At the end of the course, there are capstone projects which help them apply their skills in Machine Learning, RAG, Agentic AI, and DevOps.
GENERATIVE AI FUNDAMENTALS
Get familiar with the core concepts of Generative AI & Large Language Models, including LLM architecture, tokens, context windows, AI APIs, hallucinations, model capabilities, and their limitations.
Get the necessary background in AI and Machine Learning that will make you ahead in the study of the Machine Learning course and Generative AI role in the modern MLOps certification process.
PYTHON & AI FOUNDATIONS
Acquire practical knowledge in Python programming and Machine Learning that will allow you to create your own applications using AI. Study data processing, APIs, FastAPI, and AI pipeline. Explore the practical cases of AIOps Machine Learning.
PROMPT ENGINEERING
Study how to engineer prompts for interaction with Large Language Models by means of different prompting techniques, such as role-based, few-shot, structured, and multi-step prompting. Use your prompt engineering skills in your DevOps, infrastructure, and Generative AI in DevOps projects.
RAG & VECTOR DB
Create smart knowledge engines utilizing embeddings, semantic search, vector databases, document understanding, and Retrieval-Augmented Generation. Build personal knowledge assistants and enterprise RAG solutions, as well as practical examples of AIOps and DevOps usage.
AGENTIC AI & MLOPS
Build agentic AI systems using LangChain, LangGraph, CrewAI, and AutoGen and find out how to operate and orchestrate AI systems using Docker, Kubernetes, MLOps, LLMOps, and cloud technologies. This practical MLOps course is the next step after a Generative AI course.
AI FOR DEVOPS
Utilize generative AI for practical DevOps and infrastructure applications. Understand how AI agents can help with incident triaging, log analysis, runbooks automation, infrastructure help, and operational workflows.
Discover some examples of usage:
- AI-driven incident triaging and log analysis
- Automation of runbooks and remediations assistance
- Assistance in infrastructure provisioning
- Integration of shell, CLI, cloud, monitoring, and ticketing tools
- AI-driven assistance in troubleshooting and operational workflows
- Human-in-the-loop for approvals of critical operations
- AI output review in terms of safety, cost, reliability, and observability
Build your practical skills in DevOps, Generative AI, MLOps, and LLMOps, which will allow you to lay the ground for the MLOps certification and the skills provided in the best machine learning engineer course path.
CONTAINERIZED AI & KUBERNETES
Receive recommendations on how to containerize, deploy, and scale AI applications using Docker, Kubernetes, and FastAPI. Learn more about the deployment of AI workload, GPU, models, LLMs, and Kubernetes infrastructure for the development of AI in production.
MLOPS, LLMOPS & CI/CD
Prepare your AI application for production by leveraging the best practices of MLOPS and LLMOPS. Get familiar with model versioning, experiment management, AI pipelines, monitoring, prompt versioning, testing, and CI/CD practices in ML and LLM applications.
Develop a RAG or Agentic AI application with Docker, Kubernetes, FastAPI, and CI/CD and find out more about the metrics of production such as latency, cost, model drift, and AI quality.
CLOUD AI DEPLOYMENT
Learn more about the managed AI services on AWS, Azure, and Google Cloud including AWS Bedrock, SageMaker, Azure AI, and Vertex AI. Receive recommendations on whether it makes sense to utilize managed or self-hosted AI based on cost, control, security, and compliance and leverage managed AI on the cloud.
Benefits of FutureOps: GenAI, Agentic AI & MLOps Training & Certification
Benefits of GenAI, Agentic AI & MLOps Training
FUNDAMENTALS & KEY FEATURES
- Acquire knowledge and skills in the area of AI for DevOps Engineers by studying Generative AI, LLMs, RAG, Agentic AI, and AI workflows using AI infrastructure.
- Acquire knowledge and skills in Python, Data Science, Machine Learning, Deep Learning, and basic of LLMs through ML Course Track.
- Study areas such as Prompt Engineering, Embeddings, Vector Databases, Semantic Search, and Retrieval-Augmented Generation (RAG).
- Acquire knowledge and skills in Building Autonomous AI Agents through LangChain, LangGraph, CrewAI, and AutoGen.
- Study areas such as Application of GenAI in DevOps including Incident Triage, Log Analysis, Runbook Automation, and Infrastructure & Operations Workflows.
- Acquire knowledge and skills in areas associated with MLOps such as Model Deployment, Experiments Tracking, Monitoring, Versioning, and Production AI Workflows.
- Study areas associated with LLMOps such as Prompt Versioning, Evaluation, Observability, Cost Tracking, and Deployment of Applications based on LLMs.
- Gain practical experience with Docker, Kubernetes, FastAPI, CI/CD, and Cloud AI platforms such as AWS, Azure, and Google Cloud.
- Gain practical experience in building production-level projects where you will be able to create AI Incident Response Agent, Private GPT Knowledge Assistant, and Multi-Agent Infrastructure Automation.
- Prepare yourself for jobs such as AI/LLMOps Engineer, GenAI Application Developer, Agentic AI Engineer, Cloud AI Engineer, and MLOps Engineer.
- Prepare for MLOps Certification and acquire knowledge that will help you in getting AI Engineer Certification.
- Gain practical experience through labs and projects.
WHO SHOULD ENROLL IN THIS PROGRAM?
- DevOps Engineers willing to gain practical experience in Generative AI and Agentic AI.
- Cloud Engineers wanting to pursue a career in AI-enabled infrastructure, automation, and AI services within the cloud.
- Linux, System and Infrastructure Administrators wanting to gain experience in using AI for infrastructure troubleshooting and incident management.
- SREs and Platform Engineers interested in working in automation, monitoring, production environments and AI-enabled operations.
- Software Developers wanting to develop and deploy GenAI applications, RAG systems and AI agents.
- IT Professionals aiming to transition into AI, MLOps, LLMOps and cloud engineering with help of an MLOps Course in India.
- Cloud and DevOps Professionals willing to enhance their skillset with the help of an LLMOps Course.
- Professionals interested in learning about DevOps AIOps use cases such as log analytics, incident triage, runbook automation and infrastructure assistance.
- AI and Automation Enthusiasts willing to evaluate AI tools and find solutions that would become the Best AIOps Platform for them.
WHY THIS PROGRAM WILL BOOST YOUR CAREER
Generative AI is changing the way software is developed, cloud environments are managed, and IT operations are handled. This program is designed to help DevOps and Cloud professionals develop practical skills in Generative AI, Agentic AI, MLOps, and LLMOps and apply them in real-world situations.
Rather than simply learning how AI works, the program focuses on using AI to solve DevOps and infrastructure challenges, including incident triage, log analysis, runbook automation, infrastructure assistance, RAG applications, and multi-agent workflows.
The program includes hands-on projects covering RAG, Agentic AI, MLOps, LLMOps, Docker, Kubernetes, and Cloud AI. This practical approach helps learners develop skills that are relevant to emerging AI engineering roles. It also provides a strong foundation for professionals preparing for an AI Engineer Certification or looking to pursue a career-focused Generative AI course.
The curriculum can also be useful for learners considering an MLOps course with placement or GenAI course with placement, while maintaining a strong emphasis on hands-on learning, production-ready projects, and practical AI engineering skills.
Career Opportunities
Why Choose AP2V?
Flexible & Personalized Learning
Experience ultimate flexibility with batch slots, online learning, recorded sessions, backup classes, and easy payment options all designed for your convenience and success
Expert Trainers, Real-World Projects
Learn from globally certified trainers with industry expertise, using innovative training methods and exclusive live project work to ensure deep, practical skills
Career-Driven Skill Building
Get comprehensive career support through technical interview prep, resume workshops, applied project work, personality development, and continuous mentoring to make you job-ready and confident
Trusted Industry Leader
Join a respected institute with over 10 years of excellence, top global certifications, 50+ expert trainers, and consistent high student ratings focused entirely on your growth and future
Lifetime Guidance & Mentorship
Gain ongoing value with lifetime access to class recordings, continuous expert guidance, dedicated mentorship, and more—ensuring you always have support on your learning journey
Your Success, Our Commitment
Our dedicated placement team works for you, and all trainings are certificate-oriented with options for guaranteed certificates
FutureOps: GenAI, Agentic AI & MLOps Training & Certification Curriculum
Course Content
Industry Project
Training Online Exam & Certification
Live your dream to be hired by top IT Companies with us, offering an array of professional courses with 100% Job Assistance
Trusted By 50,000 people
World Wide
Student Success Stories
Discover how professionals transformed their careers with AP2V’s expert-led programs.
Cracked Their Dream Careers In
New Batch and Workshop
Join the latest training batches and hands-on workshops designed for real-world IT skills.
Certified Kubernetes Administrator (CKA)
Devops Foundation
Mastering in Python Programming
Recent Articles
Explore our latest articles on trending technologies, tools, and real-world IT practices.
Frequently Asked Questions
Recorded Videos
- Enhance students learning Experience.
- Relief the pressure of Note-Taking.
- Lifetime Access.
- Learning Flexibility.
- Easy to retakes of each sessions.
- Pocket friendly course.
Live Interactive Classes
- Lectures bring together diversed group of students to learn in different ways.
- Live interactive Instructor-led training.
- 24 x 7 hours learning assistance.
- Have a team of well-qualified expert trainers.
- Lifetime access of class recordings.
- Affordable fees.
Sign in to your account
Sign in to your account
Welcome back! Login with your data that you entered during registration.
-
-
Email and Password are case sensitive...
- Forget Password
Forget Password
We will send a password reset link on your email.
-
Please enter registered email.
Create Account
Create Account
Use your email for registration.
-
Please enter name
-
Please enter email
-
Please enter password
Must be grater 6 characters as long.
Can contain any letters a to z or A to Z.
Can contain some special characters eg(@,#,$,%,&,*,%).
Can contain any numbers from 0 to 9.