Build real agentic AI projects
Cloud labs with APIs, vector DBs & RAG
Fast-track learning in 8 weeks
Learn from a 15+ year MNC expert
From basics to multi-agent systems
Job-focused agentic AI curriculum
1:1 mentorship with project support
360° agentic skills: planning, memory, tools & safety
Advanced concepts: RL actions, guardrails & tracing
Ongoing doubt support till you get placed
Industry-recognized certification
Resume & LinkedIn optimization
Placement assistance with referrals
Interview prep with mocks & Q&A
Learn from a certified Agentic AI trainer with 7+ years of industry experience and 5 years focused on AI/automation.
Choose your format: self-paced videos, live online sessions, or classroom training.
Go beyond theory with LLM agents using tools, memory, planners, and real datasets/APIs.
Every class is recorded with lifetime access via our LMS and Google Drive.
Experience the Agentic AI course before you commit with no-obligation demos.
Leverage company tie-ups starting in the U.S. and expanding worldwide for tailored programs.
100% assistance covering resume building, interview prep, and project storytelling for Agentic AI roles.
Access 100+ Agentic AI interview questions plus certification practice materials
➤Recorded Video Access (Lifetime)
➤Certification-oriented
➤Affordable course fee
➤Basic to advance level
➤Including live project
➤100% Placement Assistance
➤Interview Guidance
➤Whatsapp Group Access
➤Live Project Training
➤Comprehensive Curriculum
➤Mentorship Programs
➤Assistance till Placed
➤Certification training dumps
➤Course Materials
➤Project based learning
➤Interview Guidance
Framework for multi-agent systems, connecting LLMs with data and workflows.
Library for autonomous agents that generate and execute tasks.
Platform to build, manage, and deploy agents for business automation.
GPT-powered conversational agents and intelligent automation.
Pre-trained models for NLP, vision, and generative AI.
Deep learning frameworks for training neural networks.
Stable Baselines3, RLlib, OpenAI Gym for RL training.
Tracks experiments and monitors models at scale.
Enable memory and context retrieval.
Cloud professionals can use Agentic AI to automate infrastructure management, optimize resource allocation, and create self-governing cloud systems that reduce manual intervention.
Leaders gain value from understanding Agentic AI frameworks to design scalable, secure, and adaptive AI-driven infrastructures that align with organizational strategy and compliance needs.
Agentic AI empowers data experts to build intelligent agents that automate analysis, generate insights, and interact with data sources in real time to improve decision-making.
With Agentic AI, business analysts can leverage autonomous agents to collect market data, generate reports, and align AI-driven outcomes directly with business objectives.
Developers benefit by integrating Agentic AI into applications building agents that automate tasks, interact with APIs, and continuously improve software functionality.
Aspiring professionals can gain a competitive edge by learning how to design, train, and deploy AI agents that act independently to solve real-world problems.
DevOps teams can upskill with Agentic AI by automating deployment, monitoring, and scaling tasks, enabling continuous optimization of workflows with minimal human oversight.
Admins can use Agentic AI to manage IT operations more efficiently by deploying agents that monitor systems, detect issues, and self-heal infrastructure problems.
Understand what Agentic AI is, how agents perceive, reason, and act, and the difference between traditional AI and autonomous agents.
Hands-on training to design intelligent agents, integrate APIs, and deploy them into real-world workflows and applications.
Learn how agents use structured/unstructured data, query APIs, and interact with external systems to complete tasks autonomously.
Explore agent control, compliance, ethical AI usage, and ensuring safe decision-making in production environments.
Implement continuous improvement pipelines where agents are tested, updated, and deployed automatically.
Connect agents with CRMs, BI dashboards, and productivity platforms to deliver real-time value and automation.
Work on real-world use cases such as customer support agents, autonomous research agents, and business process automation.
Validate your Agentic AI expertise and enhance career opportunities in the growing AI-driven industry.
Build modular multi-agent systems that collaborate, negotiate, and adapt to changing environments.
Designs and manages intelligent agent systems, ensuring they are scalable, reliable, and aligned with business goals.
Builds data pipelines and APIs that agents can access to retrieve, process, and act on real-time information.
Automates deployment and monitoring of agents, orchestrating workflows across cloud and on-premise environments.
Develops, fine-tunes, and deploys AI agents using LLMs, frameworks, and real-world automation scenarios.
Ensures agents operate safely with proper access control, governance, and compliance with ethical and regulatory standards.
Monitors autonomous agent performance, interprets outcomes, and provides data-driven insights for decision-making.
Advises businesses on integrating agents into workflows, optimizing efficiency, and driving AI adoption strategies.
Maintains uptime and reliability of deployed agents, resolving failures and scaling operations as needed.
Supports and maintains platforms such as LangChain, AutoGen, and agent orchestration tools while troubleshooting performance issues.
Teaches principles of Agentic AI, guiding learners on building, deploying, and managing intelligent autonomous agents.
Agentic AI professionals starting their careers can expect to earn between ₹5 to ₹7 lakhs per year, depending on their skills in Python, LLM frameworks, automation platforms, and workflow orchestration.
With 3–5 years of experience, Agentic AI engineers typically earn around ₹10 to ₹15 lakhs per year, especially if they have hands-on expertise in building multi-agent systems, API integration, and deployment on cloud platforms.
Experienced Agentic AI professionals with 5+ years in production-grade agent systems can earn ₹18 to ₹30 lakhs per year or more, particularly if they are leading teams, managing scalable architectures, or designing enterprise-grade autonomous systems.
Roles such as Agentic AI Architects, Agent Platform Engineers, and Autonomous Systems Consultants often command higher packages, frequently exceeding ₹25 lakhs per year for senior professionals.
Proficiency in Agentic AI frameworks and orchestration tools to automate workflows and scale intelligent agent deployments.
Knowledge of data handling and API integration, enabling agents to access, process, and use structured and unstructured information effectively.
Ability to design and implement end-to-end agent workflows that ensure reproducibility, scalability, and continuous improvement.
Understanding of securing agent systems, including access control, ethical governance, and compliance in production environments.
Skills in deploying and managing autonomous agents on cloud or containerized platforms for seamless scaling and integration.
Familiarity with agent orchestration tools and LLM-based APIs (like LangChain, AutoGen, or OpenAI agents) for efficient lifecycle management.
Application of multi-agent collaboration techniques, including monitoring, coordination, and dynamic adaptation for complex tasks.
Competence in monitoring and logging systems to track agent performance, reliability, and real-time decision-making accuracy.
Expertise in integrating DevOps principles into Agentic AI workflows, automating training, testing, and deployment of autonomous agents.
Capability to design and manage agent APIs and endpoints for seamless integration with business applications and external ecosystems.
Upskill Generative AI offers a comprehensive learning journey designed to help you master Agentic AI one of the most in-demand skill sets in today’s AI-driven world. Building expertise in autonomous AI agents not only boosts your career opportunities but also prepares you for certifications recognized by top AI organizations, cloud providers, and industry leaders.
Ms. Iqra Fathima
7+ Years of Experience
Iqra Fathima is a highly experienced Agentic AI trainer with over 5 years of industry expertise. Throughout her career, she has guided hundreds of students and working professionals in mastering the frameworks, tools, and workflows required to succeed in building intelligent autonomous agents.
Known for her friendly and practical teaching style, Iqra simplifies even the most complex Agentic AI concepts whether it’s multi-agent collaboration, API integration, or workflow orchestration so that learners from all backgrounds can understand and apply them confidently.
She integrates real-world case studies, live project simulations, and step-by-step implementation strategies to ensure each learner builds hands-on expertise. Whether you’re just starting out or looking to advance your career in autonomous AI systems, Iqra’s training will equip you with the clarity, confidence, and tools needed to thrive in today’s AI-driven tech landscape.
Learning Agentic AI equips you with advanced skills in building autonomous AI agents, orchestrating workflows, and integrating LLM-powered systems making you a highly valuable contributor in the AI-driven ecosystem.
Agentic AI frameworks like LangChain, AutoGen, and CrewAI streamline task execution by enabling agents to retrieve data, interact with APIs, and manage workflows efficiently with minimal human input.
Proficiency in Agentic AI significantly boosts your career opportunities. Companies are actively seeking professionals who can design and deploy intelligent agents to automate business processes and scale AI adoption.
gentic AI reduces manual effort and operational overhead by automating repetitive tasks, optimizing cloud resource usage, and enabling agents to self-manage workflows leading to cost-effective business solutions.
With Agentic AI, you can deploy single or multi-agent systems that scale across diverse applications from customer support to enterprise automation ensuring performance under growing workloads.
Agentic AI practices include secure API management, ethical governance, access control, and compliance ensuring agents operate safely and transparently in production environments.
Agentic AI easily integrates with CRMs, business apps, cloud platforms, and APIs allowing organizations to embed autonomous intelligence into their existing workflows without disruption.
Agentic AI enhances collaboration by allowing multiple agents to work together, delegate tasks, and coordinate actions boosting team efficiency and accelerating project delivery.
Agentic AI is being rapidly embraced worldwide across industries like finance, healthcare, e-commerce, and IT. With support for distributed agents and global deployment, it ensures future-ready scalability for AI solutions.
Organizations are adopting hybrid and multi-cloud strategies for Agentic AI, leveraging platforms like Azure AI, AWS Bedrock, and GCP Vertex AI. This helps avoid vendor lock-in, optimizes cost, and allows teams to integrate the best tools for building autonomous agents.
01Agentic AI workflows are evolving with built-in intelligence agents can self-optimize, automate decision-making, and manage tasks across APIs. Frameworks like LangChain, AutoGen, and CrewAI enable faster, smarter agent deployment.
02Serverless frameworks and cloud-native orchestration (like AWS Lambda, Azure Functions, and Cloud Run) are making agent deployment more efficient, allowing businesses to scale agents without managing infrastructure manually.
03As data grows exponentially, Agentic AI systems focus on scalable data access and reasoning. Multi-agent ecosystems are emerging, where agents collaborate to process large datasets and perform distributed tasks efficiently.
04With growing concerns over agent autonomy, organizations are enforcing strict access control, audit trails, and ethical governance. Compliance with standards like GDPR and HIPAA ensures agents operate responsibly and securely.
05The gap between DevOps and Agentic AI workflows is closing. CI/CD pipelines now extend to autonomous agents—automating testing, deployment, and monitoring to ensure more reliable and scalable AI-driven systems.
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Students Trained
Batches Completed
Years of Experience
Professional Trainers
Yes. Agentic AI follows best practices like secure API access, governance, compliance (GDPR, HIPAA), and transparent audit trails to ensure safe deployment.
LangChain simplifies building agent workflows and API integrations, while AutoGen enables multi-agent collaboration and advanced orchestration.
Join Upskill Generative AI’s Agentic AI program with live classes, hands-on labs, real-time projects, and lifetime access.
Python is primary. Others include JavaScript and frameworks that support LLM integration.
Basic Python, familiarity with APIs, and a general understanding of AI/LLMs are beneficial but not mandatory.
The course spans 2 months, including live projects, mentorship, labs, and placement support.
Yes. Certifications include LangChain Certified Developer, OpenAI Certification, Microsoft Azure AI Engineer Associate, AWS AI Practitioner, and others.
Yes! You can book a free trial session before enrolling in the Agentic AI course.
Look for live sessions, hands-on labs, project-based learning, and placement assistance. Upskill Generative AI provides all these.
Yes, the Agentic AI program is fully online with live classes, mentor support, and LMS access.
They define how agents plan, act, and collaborate across tasks improving reliability, automation, and scalability.
Yes. Agentic AI integrates seamlessly with CRMs, business apps, APIs, cloud services, and DevOps stacks.
APIs allow agents to interact with external systems, retrieve data, and perform actions autonomously.
Visit the website, fill out the form, or reach out via WhatsApp. The team will guide you step-by-step.
You’ll learn agent workflow design, multi-agent collaboration, API integration, orchestration frameworks, and deployment strategies.
The job market is growing rapidly with demand for Agent Developers, AI Automation Engineers, Agentic AI Consultants, and Platform Engineers.
