Learnbay

Reshape your career with the 100% assurance of an eye-catchy salary hike and continuous career growth. Advanced Data Science and Generative AI Master Program offers you the opportunity of learning data science with GenerativeAI by utilizing your current industrial experience. This course offer IBM and Microsoft certificate with Project Experience Certificate, and the course covers the following skills Agentic AI, LLMOps, Python, ML, DL etc.


Course features:
● Personalized data science and GenAI career counseling
● IBM certifications on successful course completion
● Industrial project-based learning
● 100% live and interactive sessions
● Wide Choice of domain electives
● 60+ guided skill focused hands-on
● 22+ trending DS and GenAI tools and modules
● Multiple job orientation sessions conducted by 8+ years of experienced data science professionals from companies like IBM, Amazon, JP Morgan, etc.
● 1-on-1 doubt clearance solutions at the end of each submodule
● Industry curated mentoring by experts
● Basic Python and R priming classes for non-programmers
● Bring Your Own Business Problem (BYOP) option for project work
● Data science and GenAI experts from FAANG/ MNC organizations as mentors
● Exclusive hackathons
● 1-years flexible subscription for easy course access
● Easy EMI option

Subject: Data Science, Artificial Intelligence, Generative AI, Machine Learning

AI isn't replacing engineers—engineers using AI are replacing those who don't. This 9-month master program is designed for tech professionals to transition into elite AI Engineering roles by combining AI, System Thinking, and Deployment skills. The curriculum moves beyond simple tool-usage, preparing you for trending interviews at top tech companies. You will learn to design high-performance LLM microservices, build production-grade Agentic AI, and manage the full lifecycle of AI systems with MLOps. By focusing on "upgrading rather than restarting," this program helps you integrate GenAI, RAG, and Vector Databases into your existing software engineering foundation.

Course feature:

● Consists of 300+ hrs of interactive classes by Industry experts.
● Earn globally recognized credentials validating your expertise in GenAI and Agentic AI.
● Master the architecture of LLM-driven and agent-based systems, including async pipelines and APIs.
● Gain hands-on experience with CI/CD for AI, observability, scaling, and safety guardrails.
● Intensive practical sessions focused on building, deploying, and scaling real-world AI applications.
● Designed for working professionals with 100% live instructor-led sessions and flexible batch timings.
● Comprehensive support including an ATS-optimized AI Resume Lab and 5+ mock interview sessions with FAANG mentors.
● Access exclusive openings in top MNCs with direct referrals to hiring managers, skipping the "ATS black hole."
● Easy enrollment through interest-free No Cost EMI options.
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Subject: Generative AI & LLMs, Agentic AI & Automation, AI Infrastructure & Data, MLOps & Deployment

The cloud-first era is no longer optional—it is operational. This master program is designed for IT professionals (Network Engineers, DBAs, SysAdmins, and IT Support) to transition into high-growth Cloud and DevOps roles without starting from scratch. By building on your existing technical foundation, the course integrates traditional cloud infrastructure with the next generation of AI-powered automation. You will master multi-cloud strategies (AWS & Azure), CI/CD pipelines, and advanced LLMOps, preparing you to architect the future of autonomous cloud systems.

Course features:
● Expert guided career guidance in AI-Powered Cloud & DevOps professionals on a one-on-one basis
● Earn globally recognized credentials from IBM and Microsoft.
● Earn Project Experience Certificate
● Scopes of choosing multiple domain electives from 8+ options based on your experience and interests
● Includes specialized modules on GenAI for Cloud, Agentic AI, and LLMOps.
● Bring Your Own Business Problem (BYOP) feature for specialized projects
● 40+ guided industrial case studies from variable domains
● Gain hands-on experience through the AI CoLab, working on real startup challenges.
● All sessions are live and interactive only- No pre-recorded video-based classes
● 70% of the course offers hands-on learning scopes
● Specialized elective tracks for different IT backgrounds (e.g., CCNA/Network to Cloud, DBA to Cloud Data Engineering)
● 3-years of Flexi subscription to the course
● 22+ tools and modules covers
● 1 to 1 mentoring
● 350+ placement collaboration
● Easy EMI option
● Data science specialists take students through a wide range of customization options for their modules.
● ATS-optimized AI Resume Lab, 5+ mock interview sessions, and direct referrals to hiring partners.
● Deep dive into scalable architectures, distributed systems, and reliability engineering.
● Comprehensive training across AWS, Azure, and GCP unified automation.

Subject: Cloud Computing, DevOps Engineering, Generative AI, MLOps, System Architecture.

The Applied AI Practitioner Program, offered in collaboration with Vishlesan I-Hub Foundation, IIT Patna, is a 4-month intensive residency designed to transform professionals from AI learners into hands-on practitioners. This program moves beyond theory by focusing on building, deploying, and scaling real-world AI products. Whether you are a tech professional, a business leader, or a creative, this course equips you with the ability to integrate Agentic AI, Multimodal GenAI, and autonomous automation into daily workflows. By working on startup-level challenges in the AI CoLab, you will master the art of "Vibe Coding" and AI task-chaining to solve complex business problems.

Course Features
● Earn a global certification backed by the Vishlesan I-Hub Foundation, IIT Patna, and IBM.
● Gain 100+ hours of experience working on real-world AI problems from the startup ecosystem.
● Build autonomous agents that plan, reason, and execute tasks across CRMs and communication platforms.
● Master text-to-video, image, and audio generation for marketing and content workflows.
● Learn to describe logic naturally to agents, enabling non-developers to build advanced AI systems.
● Deep dive into AI explainability, safety guardrails, and responsible creation.
● Personalized guidance from industry mentors throughout the 4-month program.
● Includes profile building, LinkedIn optimization, and interview preparation for the AI-first job market.
● Bring Your Own Business problem as your unique project and solve under industry expert guidance.

Subject: Generative AI Fundamentals, Agentic AI & Intelligent Automation, AI Product Engineering

This program is specifically created for software developers aiming to build, scale, and lead AI systems. It transitions professionals from being tool-users to AI product-builders by combining core Software Development Engineering (SDE) skills with an AI-first approach. The curriculum focuses on an "AI-First Engineering Stack," integrating Generative AI and Autonomous Agents into traditional system design and problem-solving workflows.

Course Features:
● Dual certification from IBM and Microsoft (including Azure AI Fundamentals).
● Assured referrals/ interview calls from MNCs and led start-ups
● One-on-one Career counseling and doubt resolution sessions with industry experts
● 300+ hrs of live and interactive classes
● Work on 40+ live projects
● Attend multiple sessions and instructors as per your learning requirement via a 3-year flexible subscription
● Work on real AI startup projects (AI CoLab) or bring your own domain-specific project (BYOP) for 1:1 expert mentorship.
● Includes AI-optimized resume building, 5+ mock interview sessions with FAANG mentors, and direct job referrals to top MNCs (bypassing ATS)
● Exclusive webinars and hackathons organized by MNC AI and ML leads
● Prime access to MNC hiring drives because of 250+ recruitment partner collaboration
● Easy EMI options


Subject: Software Development Engineering (SDE), Data Structures & Algorithms (DSA), System Design (HLD/LLD), Generative AI, Agentic AI, and LLMOps.

The role of a DevOps engineer is being redefined by the AI-native era. This 5-month intensive program is specifically designed for Cloud and DevOps professionals to transition from traditional scripting to building intelligent, self-healing infrastructure. Rather than starting from scratch, you will upgrade your existing foundation in Linux, CI/CD, and Cloud (AWS/Azure) by integrating GenAI and Agentic AI. You will master the deployment of LLMs, the creation of autonomous agents for incident triage, and the optimization of cloud costs using AI, preparing you to lead engineering teams in 2026 and beyond.
Course Features:

● Earn an industry-recognized credential validating your expertise in enterprise-grade AI systems and Cloud-DevOps integration.
● Work on domain-specific challenges such as AI-powered root cause analysis (RCA) and automated cloud cost optimization.
● Learn to build autonomous agents that can plan, reason, and execute complex multi-step DevOps tasks across systems.
● Master the lifecycle of Large Language Models, including model versioning, A/B testing, logging, and safety guardrails.
● Build "Enterprise Knowledge Copilots" that answer technical queries using your internal documentation and runbooks.
● 3 years of flexibility for resuming, pausing, or completing the course, switching the batches/ instructors
● A dedicated 1.5-month module to build a strong programming foundation tailored for AI integration and workflow control.
● Learn techniques to predict and prevent system failures using AI-powered automation at scale.
● Includes an ATS-optimized AI Resume Lab, mock interviews with FAANG mentors, and direct job referrals to top MNCs.
● Access unlimited doubt-clearing sessions and personalized mentorship throughout your learning journey.
● Manage your investment with interest-free No Cost EMI options for 6, 9, or 12 months.
● Take the advantage of BYOP and A Co-lab.
● Get direct company interviews from our 350+ corporate networks.

Subject: Data Science, Artificial Intelligence, Machine learning, Deep Learning, Cloud computing, DevOps

This program is specifically designed to help tech professionals transition into the AI-native era by building on their existing domain experience. Rather than starting from scratch, you will upgrade your current tech and industry skills with an AI-first engineering stack. You will learn to design GenAI-powered applications, build autonomous AI agents that can reason and act, and integrate Large Language Models (LLMs) into production workflows. The curriculum is delivered in collaboration with Microsoft and IBM, offering specialized tracks and real-world industry projects.


Course features:

● Personalized GenAi & Agentic AI career counseling
● Wide choice of domain electives
● 40 + guided industrial live industrial projects
● Earn recognized certifications from IBM & Microsoft upon completion
● BYOP facilities and Project Experience Certificate from IBM
● Equipped with offline learning experience even in the online mode- through lives and interactive classes.
● 1000+ coding assignments that get regular updates
● Multiple job orientation sessions with assaultive interview guarantee
● 350+ Company network
● 3-years of Flexi subscription to Learbay LMS with the flexibility of changing batches and instructors as per your convenience
● 1:1 learning discussion sessions between students and mentors
● Dedicated Resume Help, Mock Interviews, and Job Referrals to assist your transition
● Exclusive AI Co-lab access
● Easy EMI option
● Company-based mock interview sessions
● Master critical skills including Agentic AI, LLMOps, and Autonomous AI Agents
● Ample scopes of module customization guided by GenAI and Agentic AI career experts


Subject: Generative AI, Agentic AI, LLMOps, Python, LLM Integration, Artificial Intelligence.