Last Updated Oct - 28 - 2025, 06:28 PM | Source : Fela News | Visitors : 3
Advance your career by gaining cutting-edge AI and ML skills through IITM Pravartak expert-led certification.
In today’s fast-moving technology landscape, being ready for the next big leap is more than a nice to have it’s essential. That’s exactly why the new certification from IITM Pravartak (the technology innovation hub of IIT Madras) jointly with IBM is worth a close look. This programme aims to equip professionals with real-world skills in artificial intelligence (AI) and machine learning (ML), offering not just theory but practical tools for action.
We’re at a moment when companies are transforming how they think and work: AI is no longer just a buzzword. It’s already streamlining workflows, automating end to end processes, boosting productivity, and delivering business-specific solutions. In India alone, the AI and ML industry is projected to hit 17 billion dollars by 2027. Yet there’s a marked gap: demand for specialists far outweighs supply. That means there’s strong opportunity for those willing to upskill.
The “Advanced Certificate Programme in Applied Artificial Intelligence and Machine Learning” from IITM Pravartak + IBM addresses precisely that. It’s crafted for professionals who want to move beyond curiosity into capability. You’ll learn from renowned faculty, including professors from IIT Madras and IIT Dharwad. The programme features live sessions with domain experts and emphasises hands-on labs and real-world projects no just slide watching.
What sets it apart? A few things stand out: one, access to 25 plus tools and generative AI libraries via virtual integrated labs. Two, certifications from both IITM Pravartak and IBM a strong combination for credibility. Three, the flexibility: options for online learning, blended live and recorded sessions, and for those on campus, an optional immersion at the IIT Madras Research Park.
By the end of the programme, you’ll be prepared to lead AI/ML based initiatives from conception to deployment, make data-driven decisions, and bridge business and technical teams. The audience is broad: data scientists and analysts looking to deepen their expertise, software engineers aiming to shift into AI/ML roles, business analysts or product managers seeking to embed AI into strategy or products.
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