Looking to transition into AI and ML, or build and lead AI solutions at scale? According to McKinsey & Company, nearly two-thirds of enterprises have experimented with AI agents, but fewer than 10 percent have scaled them to deliver tangible value. Closing that gap calls for professionals with the right skills, built in the right order. Our latest article maps a 7-step roadmap from foundations to Agentic AI, aligned with the curriculum of the Post Graduate Program in Artificial Intelligence and Machine Learning from Texas McCombs: Step 1: Build Foundations in Python and Data Step 2: Develop Core Machine Learning Skills Step 3: Progress to Neural Networks and Computer Vision Step 4: Work with Generative AI and LLMs Step 5: Build and Secure AI Agents Step 6: Deploy and Scale AI Solutions Step 7: Apply Learning Through a Capstone Project Program highlights: Recorded lectures and monthly live masterclasses by Texas McCombs faculty 30+ live mentorship sessions with industry experts 11 hands-on projects, 60+ case studies, and 38 tools Claude-Based AI Workflows module Personalized feedback on all submitted projects Dedicated Program Manager and academic support Dual certificates from Texas McCombs and Great Lakes Executive Learning, plus 9.5 CEUs Shareable e-portfolio and career support Read the detailed article by checking out the link. linkedin.com/posts/great-lea…

OpenAI's newest model failed its safety tests weeks before launch. So OpenAI pulled it. GPT-6.1 Astra was due in October. In testing, it wasn't always accurate in reporting what it had done, and it sometimes carried on with tasks without asking for permission. In practice, it's like an agent asked to speed up a script that installs a new third-party package on its own, without flagging it to the developer. The same week, Nvidia launched a platform that keeps AI agents inside set limits and stops them within milliseconds if they try to go beyond them. Two moves, one direction: AI agents are getting more capable, and the industry is building stronger checks around them, both before launch and while they run. For teams adopting AI, that means safeguards are becoming part of the standard setup, not an extra. What's one safeguard you'd want in place before your team uses an AI agent? 👇 #AI #ResponsibleAI #astra #nvidia

What does it take to build AI systems that can plan, reason and act? With 14 years across BFSI, data engineering, AI and ML, Gundappa Gavandi, Data Scientist at Datamatics Global Services Limited, chose the Certificate in Agentic AI by IIT Bombay to explore how autonomous decision-making could fit into the solutions he designs. For him, the highlight has been hands-on exposure to agentic frameworks and seeing how the learning connects theory with implementation. Programme highlights: Faculty-led curriculum design by IIT Bombay's Department of Computer Science and Engineering (CSE) Four modules, five months, built for working professionals Weekly live sessions with guided labs and hands-on projects Industry-relevant tools including LangGraph, CrewAI, FAISS and Claude Code One-day optional campus immersion at IIT Bombay To know more, check out the link below. bit.ly/4yXAFdN #GreatLearning #PowerAhead #HumansOfGL #SuccessStory

UT Austin’s AI and Machine Learning Program Review: Sougata Pal on the Curriculum and Learning Experience “I am Sougata Pal, a Principal Solutions Architect at British Telecommunications, where I specialize in designing complex solutions for Telecom OSS (Operations Support Systems). With a foundational B.Tech in Electronics and Instrumentation Engineering, I bring a deep technical perspective to large-scale infrastructure and software architecture. Beyond my core professional role, I am an active practitioner in the AI and Data Science space. I have extensive experience building sophisticated systems, including predictive models and SQL agents using frameworks like LangChain and LangGraph. Currently, I am leveraging this expertise to develop an advanced AI-driven customer support ecosystem for FoodHub, demonstrating a unique ability to bridge the gap between traditional telecom architecture and cutting-edge generative AI applications. At this stage of my career, I wanted to make time to invest in developing new skills and staying future-ready, which motivated me to join the Post Graduate Program in Artificial Intelligence and Machine Learning by the Texas McCombs School of Business at The University of Texas at Austin. One of my favourite parts of the program has been the curriculum. I found it quite elaborate and extensive. The associations with the universities made it more promising. They are the most important part of the whole curriculum. The mentored learning sessions are not just about following the curriculum, but the mentors have also provided insights, key research papers, and a detailed understanding of the modules. They definitely play a key role in our success. Their guidance has undoubtedly been of huge help. This has helped in building sophisticated systems, including predictive models and SQL agents using frameworks like LangChain and LangGraph. Currently, I am leveraging this expertise to develop advanced AI-driven solutions, demonstrating a unique ability to bridge the gap between traditional telecom architecture and cutting-edge generative AI applications. My advice to anyone considering enrolling in the Post Graduate Program in Artificial Intelligence and Machine Learning is that each topic is very important, so all need to concentrate on all the modules.” - SOUGATA PAL Senior Manager, Software Engineering, BT Group Learner of the Post Graduate Program in Artificial Intelligence and Machine Learning To know more about the program, check out the link below. bit.ly/4yXAFdN #GreatLearning #PowerAhead #HumansOfGL #SuccessStory #AIML #UTAustin

As AI becomes part of every technology role, Sonali Nadkarni wanted to bring it into her own expertise rather than start from scratch. The Business Intelligence Architect at TCS built that understanding through the Certificate in Agentic AI by IIT Bombay. Key Highlights: Faculty-led curriculum design by IIT Bombay's Department of Computer Science and Engineering (CSE) Four modules, five months, built for working professionals Weekly live sessions with guided labs and hands-on projects Industry-relevant tools including LangGraph, CrewAI, FAISS and Claude Code One-day optional campus immersion at IIT Bombay Explore the full programme by checking out the link below. bit.ly/4dS09kG #GreatLearning #PowerAhead #HumansOfGL #SuccessStory

Python Trivia Time! Quick one! 7 + 13 - 6 + 2 = ? #GreatLearning #PowerAhead #Python

Python Trivia Time! What’s the output? 25 + 10 - 5 = ? #GreatLearning #PowerAhead #Python

Building an AI prototype is easy. Building an Agentic AI system that works reliably in production is a different challenge. So, what does it take to go from prototype to production? This 11-step technical roadmap covers: • Python & AI foundations • LLMs & prompt engineering • RAG & vector databases • Evaluation & output optimization • Reasoning, planning & AI agents • Safety, alignment & responsible AI • Multi-agent systems & orchestration • Human-in-the-Loop evaluation • Observability, tracing & monitoring • Guardrails & zero-trust security • Deployment, scaling & production readiness Based on the 18-week Certificate Program in Agentic AI by Johns Hopkins Whiting School of Engineering, delivered through Great Learning, the program includes: • 16+ live mentored sessions • 4 Johns Hopkins faculty masterclasses + 1 industry masterclass • Hands-on projects across RAG, agents & multi-agent systems • Claude ecosystem + MCP learning • Certificate + 13 CEUs from Johns Hopkins University • Shareable e-Portfolio If you’re looking to build AI agents, multi-agent systems, or take GenAI from prototype to production, this roadmap is a structured place to start. Read the full roadmap & explore the program: bit.ly/4cEG5Ss #AgenticAI #AIAgents #GenerativeAI #AIEngineering #GreatLearning Building an AI prototype is easy. Building an Agentic AI system that works reliably in production is a different challenge. So, what does it take to go from prototype to production? Read out lastes 11-step technical roadmap which covers: * Python & AI foundations * LLMs & prompt engineering * RAG & vector databases * Evaluation & output optimization * Reasoning, planning & AI agents * Safety, alignment & responsible AI * Multi-agent systems & orchestration * Human-in-the-Loop evaluation * Observability, tracing & monitoring * Guardrails & zero-trust security * Deployment, scaling & production readiness Based on the 18-week Certificate Program in Agentic AI by Johns Hopkins Whiting School of Engineering, delivered through Great Learning, the program includes: * 16+ live mentored sessions * 4 Johns Hopkins faculty masterclasses + 1 industry masterclass * Hands-on projects across RAG, agents & multi-agent systems * Claude ecosystem + MCP learning * Certificate + 13 CEUs from Johns Hopkins University * Shareable e-Portfolio If you’re looking to build AI agents, multi-agent systems, or take GenAI from prototype to production, this roadmap is a structured place to start. Read the full roadmap here: linkedin.com/pulse/from-prot… #AgenticAI #AIAgents #GenerativeAI #AIEngineering #GreatLearning

Quick Python check: 20 - 7 = ? #GreatLearning #PowerAhead #Python

Inference is simply AI using the information it has, spotting patterns, connecting the clues, and figuring out what’s most likely to come next. From correcting a sentence to predicting the next move on the road, inference is already at work around us. 👉 Follow for more AI buzzwords decoded. 💬 Which AI buzzword should we decode next? Drop your suggestions in the comments! #AIBuzzwordsDecoded #ArtificialIntelligence #AI #MachineLearning #GreatLearning

For Front-End Architect Akansha Salampuria, upskilling in AI meant building on her expertise to understand data-driven and AI-led solutions. Read about her journey through the Post Graduate Program in Artificial Intelligence and Machine Learning from the Texas McCombs School of Business at The University of Texas at Austin, and see how the program’s curriculum, hands-on learning, and mentorship shaped her experience. Check out the link below. bit.ly/3UDcGlz #GreatLearning #PowerAhead #AIUpskilling