Archive · 10 Sep 2026
Learnbay Revamps AI Curriculum as India Hiring Surges
Learnbay is changing its AI courses to match how companies now use artificial intelligence.
The company says AI and machine-learning jobs in India increased by 33% in one year.
The new courses still teach important basics such as Python, SQL, machine learning, and cloud computing.
They also teach students how to build AI applications, agents, and systems that can find information and use tools.
Students will learn how to test AI systems, monitor them, and use them responsibly.
A new AI Co-Lab lets learners work on real problems from startups instead of only completing tidy classroom exercises.
The programs include more than 30 practical projects and 40 hours of Agentic AI training.
Learnbay says the changes are based on feedback from engineers and hiring partners.
Learnbay has restructured its Generative AI and Agentic AI programs around enterprise use cases.
The update follows a reported 33% year-on-year rise in AI and machine-learning job roles in India in July 2026.
The revised curriculum retains Python, SQL, machine learning, deep learning, natural language processing, and cloud fundamentals.
New modules cover RAG, AI agents, LLM orchestration, evaluation, MCP, LLMOps, deployment, monitoring, and governance.
Learners will work on more than 30 applied projects, including live problem statements from startups and their own workplaces.
- Who
- Learnbay, its executives, learners, engineers, and hiring partners.
- What
- Learnbay has restructured its Generative AI and Agentic AI curricula around enterprise AI engineering and live business problems.
- When
- The revised programs apply to programs starting in August 2026; the hiring data cited covers July 2026.
- Where
- The changes concern technology hiring and professional training in India.
- Why
- Learnbay says enterprise AI deployment and changing hiring requirements increasingly require system engineering, deployment, evaluation, governance, and customer-focused skills.
- AI hiring growth
- The Naukri JobSpeak Index reported a 33% year-on-year increase in AI and machine-learning roles in July 2026.
- FDE hiring growth
- Live Data Technologies reported 1165% year-on-year growth in Forward Deployed Engineer roles in 2026.
- AI talent forecast
- A Deloitte-NASSCOM study forecasts demand for AI talent to rise from 650,000 to more than 1.25 million between 2022 and 2027.
- Core subjects retained
- The curriculum continues to include Python, SQL, machine learning, deep learning, natural language processing, and cloud.
- New technical areas
- The revised syllabus includes RAG, AI agents, LLM orchestration, evaluation, MCP, LLMOps, monitoring, and AI governance.
- Practical training
- The programs include 40 hours of Agentic AI training across four terms and more than 30 applied projects.
- AI Co-Lab
- Learners can work on live problem statements from startups or bring current problems from their own workplaces.