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Somil Rastogi

Post Graduate Program in AI Agents for Business Applications

“"One of my key takeaways from the UT Austin's Program in AI Agents for Business Applications was understanding the transition from Generative AI to Agentic Workflows. The program provided deep insights into several critical areas shaping the future of enterprise AI. 1. The Evolution from Chatbots to Autonomous Agents The program effectively bridged the gap between traditional Generative AI applications and Agentic Workflows. While much of the industry remains focused on prompt-and-response interactions, the curriculum explored how AI systems can plan, reason, and execute multi-step tasks autonomously—functioning as a digital workforce rather than simply an information retrieval tool. 2. Orchestration Frameworks for Enterprise AI I gained hands-on experience with advanced orchestration approaches, including the ReAct (Reasoning and Acting) and Plan-and-Execute frameworks. Learning how to manage the ""brain"" of an AI agent—through memory management, tool integration, and LLM orchestration—provided valuable insights into building reliable, scalable, and self-correcting AI systems. 3. AI Governance, Safety, and Ethics As AI systems become increasingly autonomous, robust governance and ethical oversight become essential. The program emphasized the importance of human-in-the-loop architectures, AI governance frameworks, and safety guardrails designed to reduce hallucinations, manage risk, and ensure AI agents operate within organizational, regulatory, and ethical boundaries. 4. Academic Rigor with Practical Application What stood out most was the balance between academic depth and real-world relevance. The program established a strong foundation in the principles underlying Agentic AI while providing practical frameworks that can be applied to enterprise use cases today and adapted as the technology continues to evolve. As organizations move beyond experimentation and toward autonomous AI systems, understanding how to design, govern, and deploy AI agents responsibly will become an increasingly important leadership capability."”

Reid Wisa US

Post Graduate Program in AI Agents for Business Applications

“"I am pleased to share that I have successfully completed the Postgraduate Program in AI Agents for Business Applications. As a cybersecurity leader, I recognize that the shift from static automation to Agentic AI represents a pivotal moment in enterprise architecture. This program provided a rigorous exploration of autonomous agents, moving beyond foundational large language models (LLMs) to the design and deployment of systems capable of independent reasoning, planning, and execution. For today's CISO, the value of this specialization is twofold: Defense at Machine Speed Leveraging agentic workflows to build an Autonomous Security Operations Center (SOC), where specialized AI agents proactively detect, correlate, investigate, and contain threats in real time. Securing the New Frontier Establishing the governance frameworks, identity controls, and guardrail architectures required to deploy AI agents securely within complex, global, and highly regulated enterprise environments. By integrating Agentic AI into cybersecurity strategy, organizations can evolve from a reactive security posture to a proactive business-enabling function—accelerating innovation while significantly reducing operational risk. A sincere thank you to the instructors, mentors, and my cohort for an enriching and thought-provoking experience. I look forward to applying these insights to drive resilient, secure, and strategic value in an increasingly AI-driven world."”

Anirban Mukherjee United States

Post Graduate Program in AI Agents for Business Applications

“" I recently completed two programs: Artificial Intelligence for Leaders and AI Agents for Business Applications. The Artificial Intelligence for Leaders program followed a structured, step-by-step progression, beginning with statistical foundations and advancing through machine learning, modern AI techniques, and Generative AI concepts. The AI Agents for Business Applications program complemented this learning journey by exploring large language models (LLMs) in greater depth and providing a systematic framework for designing, securing, and deploying business-focused agentic workflows. What stood out across both programs was the strong balance between theory and practical application. In addition to comprehensive lectures and video content, the program featured hands-on exercises and weekly mentored sessions. These elements not only reinforced key concepts but also helped translate theoretical knowledge into real-world business applications."”

Brian Distefano Wallis

PL-300 - Microsoft Power BI Data Analyst Certification Training

“As a longtime CFO with an MBA, I enrolled in the UT Austin and Great Learning Data Analytics Essentials program to modernize my technical skills and understand the practical business applications of modern data tools. Over the course of six months (September to March), the program provided a well-rounded and rigorous curriculum. It successfully covered everything from Excel and SQL to Python and Power BI. The learning format is highly effective, combining well-structured recorded videos and frequent quizzes with live mentored sessions led by knowledgeable and caring instructors. The projects were genuinely challenging, ensuring that the theory translated into hands-on capability. A major factor in my success was the exceptional support from my Program Manager, who was consistently timely and supportive throughout my study effort. It was clear there was genuine care for my progress and success throughout the program, and this support made balancing its demands with my professional responsibilities much smoother. The mentors were also very supportive, knowledgeable, and practical in their teaching, and I truly appreciated their dedication and commitment to helping learners when assistance or deeper understanding was needed. I highly recommend this program for any executive or career professional looking for a structured, supported path to mastering Data Analytics. If you plan accordingly and are committed to mastering the material, you will be greatly satisfied with the learning and value you gain from this program. Significant time commitment; however, you truly get out what you are willing to put into your learning effort.”

Veena Gorige USA

Post Graduate Program in Generative AI for Business Applications

“I had an excellent learning experience completing a project as part of the Business Applications with LLMs course in the Post Graduate Program in Generative AI for Business Applications. The project focuses on building a Retrieval-Augmented Generation-based AI solution to help healthcare professionals overcome challenges like information overload, slow diagnosis, and access to trusted medical knowledge. Using renowned medical manuals as a knowledge base, this system will provide quick, accurate, and reliable information, improving patient outcomes and enabling faster, informed decision-making.”

Palak Ambwani USA

Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications

“I am a manager and technical staff engineer at a leading semiconductor manufacturing company, and I recently completed the Post Graduate Program in Artificial Intelligence and Machine Learning: Business Applications. I hold a PhD in Materials Science and Engineering with over 10 years of industry experience. As the industry grows more into AI and ML hardware and software, I wanted to understand the basics of AI and ML and learn how to use those skills in my day-to-day job. My learning experience was great. The content was extensive, detailed, and relevant. This program helps me become more efficient in my current job by allowing me to use Python and AI and ML techniques for data analysis.”