AI courses for developers split on a narrower question than in any other profession. Elsewhere the divide runs between institutional strategy and applied execution, but not here, because the institutional programmes teach execution too. IIT Bombay covers LLMOps and governance. Scaler’s IIT Roorkee course has learners ship a production RAG application with guardrails and evals. So the real choice among AI courses for developers is breadth across the agentic stack, or depth with a credential.
The real choice, then, isn’t breadth versus depth in the abstract. It comes down to what a given developer is actually optimizing for: a credential for a job change, a broad working knowledge of the current agentic stack, a specific technical gap (LLMOps, model internals, domain specialisation), or structured mentorship into a new role entirely. This comparison lays out what each programme actually offers so that trade-off is visible, rather than assuming everyone wants the same thing.
The ranked shortlist of AI courses for developers
Ranked on fit for an employed developer who needs working knowledge across the current agentic stack, on weekends, without prerequisites.
| # | Programme | Duration | Format | Indicative fee | Best for |
| 1 | be10X AI Career Accelerator (Techies) | 3 months | Live, weekends | Shared via AI Tools Workshop | Breadth across the agentic stack, no prerequisites |
| 2 | Scaler x IIT Roorkee Advanced AI Engineering | 2 to 3 months | Live online plus campus immersion | Rs 76,699 incl. taxes | Production artefacts plus an IIT credential |
| 3 | IIT Bombay Certificate in Generative AI | See page | Live online, IIT Bombay faculty | See page | LLMOps, governance and reliable deployment |
| 4 | IIT Delhi Certificate Programme in Generative AI | 6 months | Live, CEP executive format | Rs 1,79,000 plus taxes | Depth in LLMs and NLP with an IIT Delhi certificate |
| 5 | IITM Pravartak Agentic AI and Applications | 5 months | Online | See page | Agent building with IBM credentials attached |
| 6 | iHUB Divyasampark IIT Roorkee GenAI and LLM Engineering | 74 hours | Online, Mon and Wed evenings | See page | Evening-schedule LLM engineering |
| 7 | IIT Roorkee PG Certificate in GenAI and Agentic AI for Engineers | 11 months | Online | See page | A long programme with domain specialisations |
| 8 | Scaler Advanced AI and Machine Learning | 12 months | Live, 1:1 mentored | Rs 3,99,000 | Becoming an ML engineer from foundations |
1. be10X AI Career Accelerator, Techies track
Weekend live sessions across sixteen technical modules: Python and ML foundations, PyTorch, transformers, local LLM deployment and fine-tuning, RAG and GraphRAG with tool calling and MCP, LangChain to production, LangGraph and CrewAI orchestration, Google ADK with A2A, Bedrock AgentCore with AutoGen, and LLMOps with observability and security. No prior experience is required, which no other option here can say. Skip it if the credential is the point, since no IIT name is attached
2. Scaler x IIT Roorkee Advanced AI Engineering
₹76,699 including taxes over two to three months, live online with a two-day campus immersion and a joint IIT Roorkee and Scaler certificate. Three artefacts explain the position: a production RAG service with function calling, memory, guardrails and evals; a LoRA fine-tune with measured cost savings and adapter weights published to Hugging Face; and an instrumented multi-tool agent with traces and cost tracking. This is the best combination of artefacts, credential and price among AI courses for developers here, and anyone changing jobs should buy it ahead of position one.
3.IIT Bombay Certificate in Generative AI
Designed by IIT Bombay faculty, covering prompting and evaluation, RAG, PEFT and LoRA, agentic systems and LLMOps, with explicit attention to deploying, monitoring and securing GenAI applications. The operational half sets it apart from most AI courses for developers, because monitoring and security decide whether a system survives production traffic.
4. IIT Delhi Certificate Programme in Generative AI
Six months under IIT Delhi’s Continuing Education Programme at ₹1,79,000 plus taxes, covering Python, TensorFlow and Hugging Face, architectures including GPT, BERT and T5, and instruction tuning. Model-level grounding is the draw, taught as subjects rather than settings inside a framework. The fee is roughly two and a half times Scaler’s IIT Roorkee course, so compare project lists first.
5. IITM Pravartak Professional Certificate in Agentic AI and Applications
Five months from the technology innovation hub of IIT Madras, built around agent building with LangChain, CrewAI and RAG, with three IBM credentials attached. The stacked credentials are unmatched among these AI courses for developers. In the companion GenAI programme, recorded content comes from IIT Madras faculty while live sessions are run by domain experts, which is worth knowing before paying for the name.
6. iHUB Divyasampark IIT Roorkee, Generative AI and LLM Engineering
74 hours online on Monday and Wednesday evenings, covering LangChain, LangGraph and RAG for memory-enabled agents, vector databases, and LLM engineering topics such as hosting models against APIs, cost optimisation and deployment. Among AI courses for developers here the schedule is the advantage, since every other option takes weekends, and the 74-hour figure is the most transparent statement of contact time in this comparison.
7. IIT Roorkee PG Certificate in GenAI and Agentic AI for Engineers
Eleven months across AI foundations, fine-tuning and multi-agent frameworks using AutoGen, CrewAI, LangChain and PyTorch, with specialisations in full-stack, data analytics, embedded systems, biomedical engineering and manufacturing. Those tracks are what no other AI courses for developers here offer, since generic GenAI training translates badly into those domains.
8. Scaler Advanced AI and Machine Learning
Twelve months at ₹3,99,000, spanning Python foundations through RAG, multi-agent systems and LLMOps, with 1:1 mentorship from working practitioners. The mentorship is what is being bought, and no curriculum replicates it. It is the outlier among AI courses for developers here because it suits a move into ML engineering from outside it, and an engineer already shipping production code will find the early months slow.
Where each of these AI courses for developers wins
- Breadth across the current agentic stack: be10X, covering MCP, A2A, Google ADK, Bedrock AgentCore, LangGraph, CrewAI, AutoGen and GraphRAG in one curriculum. No other programme here covers this many protocols and frameworks together.
- Schedule flexibility: be10X for weekends only, iHUB IIT Roorkee for weekday evenings.
- Production artefacts plus credential, per rupee: Scaler’s IIT Roorkee course. A production RAG service, a LoRA fine-tune with published adapter weights and an instrumented multi-tool agent make a strong portfolio for under a lakh.
- No prerequisites: be10X. Every other programme here assumes programming ability.
- Institutional brand for engineering roles: IIT Bombay, IIT Delhi, IIT Madras via Pravartak, IIT Roorkee. No private platform on this list competes.
- LLMOps, governance and security: IIT Bombay, which covers the operational half most curricula skip.
- Model-level grounding: IIT Delhi, where architectures and instruction tuning are taught as subjects rather than framework settings.
- Stacked vendor credentials: IITM Pravartak, with three IBM certificates alongside the IIT Madras-affiliated name.
- Domain specialisation outside software: IIT Roorkee’s PG certificate, covering embedded systems, biomedical engineering and manufacturing.
be10X’s explainers on RAG and why retrieval fixes hallucination and on MCP as a single interface for agents cover two concepts these curricula assume, and the AI Tools Workshop is where the Techies track fee is shared.
