Artificial intelligence and machine learning are now embedded in strategy, operations, and customer experience. 

If you want to lead initiatives or build production-grade models, an AIML program that balances theory with hands-on work can accelerate your progress.

This guide lists seven credible options, ranging from executive certificates to a complete master’s track. Each entry highlights scope, duration, delivery model, what makes it stand out, core modules, and who it suits. 

Selections were validated against official program pages and benchmarked with leading Indian competitors.

Factors to Consider Before Choosing an AIML Course

1) Executive Diploma in Machine Learning & AI — IIIT Bangalore (upGrad)

Duration: ~11 months

Mode: Online, cohort-based

Short overview:

A practitioner-oriented diploma centered on Python, statistics, machine learning, and deep learning with case studies from finance, retail, and media. Learners complete multiple projects and a mentored capstone.

The schedule is designed for working professionals who need structured peer learning, tutor support, and periodic evaluations that mirror industry deliverables.

What sets it apart?

Curriculum/modules provided:

Python, EDA, statistics, supervised and unsupervised ML, DL with CNN/RNN, NLP, recommendation systems, MLOps primer, deployment.

Ideal for:

Professionals in India seeking an institute-backed credential and a fixed cadence that compares favorably with other Indian executive programs in terms of depth and assessment.

2) PG Program in Artificial Intelligence & Machine Learning — Great Learning

Duration: ~12 months

Mode: Online with mentorship and weekend sessions

Short overview:

A year-long ai ml course that integrates ML, deep learning, and applied AI with guided mentorship and business-facing case studies. The program emphasizes capstones, peer learning, and career support.

 It is designed for managers and engineers moving into data roles who want structured guidance without pausing full-time work.

What sets it apart?

Curriculum/modules provided:

Python, statistics, classical ML, feature engineering, DL (CNNs, RNNs), NLP, model evaluation, deployment projects, business storytelling.

Ideal for:

Mid-career professionals in India, comparing executive AIML tracks who want mentorship plus capstones rather than short bootcamps.

3) Post Graduate Certificate in Data Science, ML & Generative AI — IIT Roorkee (TimesPro)

Duration: ~8 months

Mode: Live online

Short overview:

A condensed program with coverage across data science, machine learning, deep learning, MLOps, and generative AI. Live classes anchor the schedule, with an applied orientation for working professionals.

 It balances breadth with time-to-completion for learners who need a shorter runway to visible outcomes.

What sets it apart?

Curriculum/modules provided:

Python, ML algorithms, DL foundations, MLOps practices, GenAI use cases, and applied projects.

Ideal for:

Practitioners need a faster pathway than year-long diplomas, while retaining institute recognition in the Indian market.

4) Certificate Programme in Applied Data Science and AI — IIT Delhi (Online)

Duration: ~6 months

Mode: Online

Short overview:

A working-professional program focused on applied analytics and AI. The timeline and weekly load are built for upskilling alongside a full-time role. It emphasizes practical experience and a curated set of tools to transition from analytics to AI workflows without overextending academic prerequisites.

What sets it apart?

Curriculum/modules provided:

Foundational stats, ML methods, model evaluation, selected AI topics, and applied projects.

Ideal for:

Analysts and business professionals in India who want a compressed, institute-led path to applied AI.

5) MS in Artificial Intelligence & Machine Learning — Walsh College (Online via Great Learning)

Duration: ~2 years

Mode: Online (asynchronous, live virtual options)

Short overview:

A full master’s track ms in artificial intelligence for professionals who want depth, research exposure, and leadership readiness in AIML. Flexible learning formats fit varied schedules. The curriculum adds graduate-level breadth, optional research, and advanced electives for long-term career mobility across engineering and product leadership roles.

What sets it apart?

Curriculum/modules provided:

Core ML, advanced DL, AI systems, data engineering interfaces, responsible AI, electives, and capstone.

Ideal for:

Professionals who want the signaling strength of a master’s and broader optionality than typical 8–12 month Indian programs.

6) Generative AI and Machine Learning Certificate Program — IIT Roorkee (Simplilearn)

Duration: ~11 months

Mode: Live, online, interactive

Short overview:

A GenAI-forward track covering ML, deep learning, and emerging GenAI tooling. Live sessions, guided projects, and mentorship aim to build portfolio-quality work products. It compares well to Indian cohort programs for learners prioritizing GenAI depth with structured instructor time.

What sets it apart?

Curriculum/modules provided:

Python, ML, DL, LLMs, prompt design, GenAI applications, projects.

Ideal for:

Engineers and analysts who want a GenAI-centric path rather than a generalist ML sequence.

7) AI in Business — ISB Online

Duration: ~20 weeks

Mode: Live virtual plus self-paced

Short overview:

A strategy-oriented certificate linking AI capabilities with business outcomes across functions. It suits leaders who need to design roadmaps, assess value, and manage delivery without coding heavy stacks. Compared with Indian technical tracks, the focus is on decisions, governance, and measurable impact.

What sets it apart?

Curriculum/modules provided:

AI strategy, use-case selection, metrics, data readiness, responsible AI, change management, and capstone.

Ideal for:

Product owners, consultants, and business leaders who must translate AI into ROI and risk-aware execution.

Conclusion

Choose the format that matches your bandwidth and goals: shorter certificates for speed, year-long diplomas for depth with mentorship, or a complete master’s for advanced breadth and signaling. 

When evaluating artificial intelligence courses, prioritize programs that include projects, feedback, and precise evaluation so your portfolio reflects real business problems and model life-cycle thinking.

When comparing options, weigh cadence, capstone rigor, and support. Institute-backed Indian cohorts can offer strong structure and recognition, while longer tracks provide wider electives. 

Align the choice with your target role, then commit to consistent weekly effort and deliverables that hiring managers can verify.