Agentic AI course in Hyderabad

With

100% Placement Assurance

Agentic AI Training in Hyderabad - Upcoming Batches

DEMO DATE : 2ND DEC 2025

PROGRAM DURATION : 90 DAYS

LEARNING FORMAT : ONLINE TRAINING

2550+

Students Enrolled

Online Training

Mode

90 Days

Duration

Agentic AI Course in Hyderabad - Course Curriculum

🚀 Module 1 — Agentic AI: Concepts, Landscape & Impact

What is Agentic AI? Why now?
From rule-based AI → LLM-powered autonomous agents
Agent loop: perceive → reason → act → reflect
Use cases: research co-pilots, RPA++ automations, SOC assistants, cloud ops

Outcome: Speak the language of agentic systems and map them to business value.

🧠 Module 2 — Foundations of Intelligent Agents

Agent definitions, environments, observability, rationality
Reactive vs deliberative vs hybrid agents
State, goals, utilities, cost-benefit trade-offs

Lab: Implement a toy rational agent with goals & constraints.
Outcome: Design minimal agents with clearly defined objectives.

🛠️ Module 3 — Perception, Tools & Memory

Toolformer mindset: tools, actions, API connectors
Context windows, episodic vs long-term memory, vector stores
Retrieval strategies (RAG), summarization & reflection

Lab: Add tools + memory to a simple LLM agent.
Outcome: Build useful agents that remember and act via tools.

📋 Module 4 — Planning & Control for Agents

Task decomposition (CoT, ToT, GoT), planners & schedulers
Guardrails, constraints, and verifiers

Lab: Build a planner-executor loop with self-critique.
Outcome: Make agents reliable with structured planning.

🤝 Module 5 — Multi-Agent Systems (MAS)

Agent roles, protocols, coordination & negotiation
Distributed problem solving; basics of game theory

Lab: Researcher → Planner → Coder → Reviewer pipeline.
Outcome: Orchestrate teams of agents that collaborate.

🎯 Module 6 — Reinforcement Learning for Agentic AI

MDPs, policies, value functions, reward shaping
DQN / PPO / A3C intuition for action-selection

Lab: Train a simple RL policy; integrate into an LLM agent loop.
Outcome: Improve decision quality with RL-guided actions.

💡 Module 7 — LLMs for Agency

Using LLMs as planners, critics, tool routers
Prompt patterns for safety, determinism, and role fidelity
Fine-tuning, adapters, and preference-based alignment (high level)

Outcome: Turn LLMs into robust reasoning components.

🧩 Module 8 — Agent Frameworks & Stacks

- LangChain, AutoGen, CrewAI, LlamaIndex: strengths & trade-offs
- Memory stores (FAISS, Chroma), queues, schedulers
- Tracing & observability (LangSmith / Weights & Biases alternatives)
Lab: Build the same agent in two frameworks and compare.
Outcome: Choose the right stack for your use case.

🔐 Module 9 — Agentic AI for Security & Cloud Automation

SOC helpers, playbook automation, threat intel enrichment
Cloud runbooks: scale-up, backups, cost checks, drift detection

Lab: Cloud task agent that inspects logs and proposes fixes.
Outcome: Ship safe, auditable automation in real ops.

🛡️ Module 10 — Evaluation, Safety & Governance

Agent evaluation: success metrics, hallucination checks, tool-use audits
Secure sandboxing, rate-limits, secrets handling
Ethics, bias, regulatory landscape, and documentation

Lab: Build an evaluation harness + red-teaming checklist.
Outcome: Deploy with confidence and compliance.

⚙️ Module 11 — AgentOps / MLOps for Agents

CI/CD for prompts & tools, versioning, rollbacks
Telemetry, feedback loops, AB testing, human-in-the-loop

Lab: Add monitoring & guardrails to a deployed agent.
Outcome: Maintain agents in production like mature software.

🏆 Module 12 — Capstone & Portfolio

Pick one end-to-end project (examples):

Sales Research Auto-Analyst: MAS that researches, scores leads, drafts outreach
Cloud Reliability Agent: Reads metrics, predicts risk, suggests remediations
SOC Triage Agent: Enriches alerts, drafts JIRA issues, proposes actions

Deliverables: repo, README, demo video, evaluation report, deployment guide.
Outcome: Portfolio-ready project for interviews.

Agentic AI Course in Hyderabad

Why choose us?

Agentic AI Course In Hyderabad

Key Points

➤ Expert Trainer – Ms. Iqra Fathima

Learn from a certified Agentic AI trainer with 7+ years of industry experience and 5 years focused on AI/automation.

➤ Flexible Learning Modes

Choose your format: self-paced videos, live online sessions, or classroom training.

➤ Real Agentic AI Projects

Go beyond theory with LLM agents using tools, memory, planners, and real datasets/APIs.

➤ Lifetime Recording Access

Every class is recorded with lifetime access via our LMS and Google Drive.

➤ Free Demo Sessions

Experience the Agentic AI course before you commit with no-obligation demos.

➤ Global Partnerships

Leverage company tie-ups starting in the U.S. and expanding worldwide for tailored programs.

➤ Placement Support

100% assistance covering resume building, interview prep, and project storytelling for Agentic AI roles.

➤ Interview Prep & Certification Practice

Access 100+ Agentic AI interview questions plus certification practice materials

Agentic AI Training in Hyderabad

Modes

Online Training

Corporate Training

Agentic AI Course In Hyderabad - Tools Covered

LangChain

Framework for multi-agent systems, connecting LLMs with data and workflows.

AutoGen

Library for autonomous agents that generate and execute tasks.

CrewAI

Platform to build, manage, and deploy agents for business automation.

OpenAI API

GPT-powered conversational agents and intelligent automation.

Hugging Face

Pre-trained models for NLP, vision, and generative AI.

TensorFlow & PyTorch

Deep learning frameworks for training neural networks.

Reinforcement Learning Toolkits

Stable Baselines3, RLlib, OpenAI Gym for RL training.

Weights & Biases

Tracks experiments and monitors models at scale.

Vector Databases

Enable memory and context retrieval.

What is Agentic AI ?

Agentic AI represents the next evolution of artificial intelligence, where systems act as autonomous agents capable of reasoning, planning, and executing tasks with minimal human intervention.

It empowers organizations to build intelligent workflows and decision-making systems that go beyond conversation—automating processes, analyzing data, and coordinating across multiple tools.

Agentic AI transforms industries by enabling smarter assistants, AI-driven business automation, and self-learning systems that continuously adapt to real-world challenges.

By integrating LLMs, reinforcement learning, and vector databases, Agentic AI agents gain memory, context-awareness, and the ability to collaborate with other agents or humans.

Tools like LangChain, AutoGen, CrewAI, Hugging Face, OpenAI API, and Ray make it easier to design, train, and deploy autonomous agents at scale.

At Upskill Generative AI, our training equips you with hands-on expertise to develop, manage, and deploy agentic AI systems, ensuring you stay at the forefront of this AI revolution.

From startups to enterprises, Agentic AI opens doors to faster innovation, smarter automation, and scalable solutions that redefine business efficiency.

With flexible, affordable learning paths, Upskill Generative AI helps professionals, creators, and businesses harness the full potential of Agentic AI for global impact.

Agentic AI Course in Hyderabad - Learning Objectives

Understand the core components of Agentic AI, including its lifecycle stages, orchestration layers, and the tools that enable scalable, autonomous agents for real-world applications.
Learn to manage agent memory and contextual data using frameworks like LangChain, AutoGen, and cloud-native vector databases such as Pinecone, Weaviate, and Milvus.
Grasp agent communication and workflow pipelines, including task delegation, reasoning chains, and collaboration between multiple agents using CrewAI, LangGraph, and Ray.
Master prompt engineering and agent optimization, leveraging LLM APIs (OpenAI, Anthropic, Hugging Face) alongside reinforcement learning techniques to improve agent performance.
Acquire skills in security, access control, and governance by implementing safe deployment practices, audit logging, and compliance for enterprise-scale Agentic AI systems.

6. Get hands-on with agent monitoring and tuning, learning to detect reasoning failures, automate retraining/improvement workflows, and optimize resource allocation for cost-effective deployments.

7. Build and deploy end-to-end Agentic AI applications using modern platforms like LangChain, CrewAI, AutoGen, and Vertex AI—gaining practical exposure through real-world Agentic AI projects in our Agentic AI Training in Hyderabad at Upskill Generative AI.

Agentic AI Course in Hyderabad - Pre-Requisites

✅ Basic understanding of AI and automation concepts, including how intelligent agents perceive, reason, and act, will help you grasp how Agentic AI systems are designed and executed.

✅ Familiarity with multi-agent systems, decision-making frameworks, or reinforcement learning is useful to understand how Agentic AI coordinates tasks and adapts in dynamic environments.

✅ Understanding data fundamentals, such as structured vs. unstructured data, and knowledge of APIs or databases, will aid in enabling agents to access and use information effectively.

✅ Basic programming knowledge, especially in Python (commonly used for AI agents), will help in working with agent frameworks, workflow orchestration, and automation scripts.

✅ Comfort with development tools and environments, including Jupyter notebooks, cloud platforms, and agent orchestration tools, will enhance your ability to build, test, and deploy Agentic AI applications.

Who Should Learn Agenetic AI

➤ Cloud Engineers

Cloud professionals can use Agentic AI to automate infrastructure management, optimize resource allocation, and create self-governing cloud systems that reduce manual intervention.

➤ IT Managers and Architects

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.

➤ Data Scientists and Analysts

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.

➤ Business Analysts

With Agentic AI, business analysts can leverage autonomous agents to collect market data, generate reports, and align AI-driven outcomes directly with business objectives.

➤ Software Developers

Developers benefit by integrating Agentic AI into applications—building agents that automate tasks, interact with APIs, and continuously improve software functionality.

➤ Students and Fresh Graduates

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 Engineers

DevOps teams can upskill with Agentic AI by automating deployment, monitoring, and scaling tasks, enabling continuous optimization of workflows with minimal human oversight.

➤ System Administrators

Admins can use Agentic AI to manage IT operations more efficiently by deploying agents that monitor systems, detect issues, and self-heal infrastructure problems.

Outline of Agenetic AI Training in Hyderabad

Introduction to Agentic AI and Core Concepts
Understand what Agentic AI is, how agents perceive, reason, and act, and the difference between traditional AI and autonomous agents.
Building and Deploying AI Agents
Hands-on training to design intelligent agents, integrate APIs, and deploy them into real-world workflows and applications.
Data Access, Processing, and Interaction
Learn how agents use structured/unstructured data, query APIs, and interact with external systems to complete tasks autonomously.
Security, Governance, and Ethics in Agentic AI
Explore agent control, compliance, ethical AI usage, and ensuring safe decision-making in production environments.

CI/CD and Automation for Agent Workflows
Implement continuous improvement pipelines where agents are tested, updated, and deployed automatically.
Integration with Business Tools and Ecosystems
Connect agents with CRMs, BI dashboards, and productivity platforms to deliver real-time value and automation.
Practical Projects and Case Studies
Work on real-world use cases such as customer support agents, autonomous research agents, and business process automation.
Certification from Upskill Generative AI
Validate your Agentic AI expertise and enhance career opportunities in the growing AI-driven industry.

Designing Scalable Agent Architectures
Build modular multi-agent systems that collaborate, negotiate, and adapt to changing environments.

Overview Of Agentic AI Course in Hyderabad

✅ The Agentic AI course offered by the Agentic AI Training Institute in Hyderabad provides a strong foundation in building and deploying intelligent agents, equipping participants with the skills to design AI systems that act autonomously in real-world environments.

✅ The course begins with an overview of the Agentic AI lifecycle, covering how agents perceive, reason, and act. Participants will gain practical experience using agent frameworks, LLM-based APIs, and automation platforms to design, test, and deploy AI agents.

✅ Hands-on labs will guide learners through orchestrating agent workflows, enabling agents to access data sources, integrate with external APIs, and perform complex tasks independently. Real-time case studies will make it easier to understand the end-to-end flow of agent-based systems.

✅ As the course progresses, key concepts such as multi-agent collaboration, governance, and ethical decision-making will be explored. The course also emphasizes scalability, monitoring, and cost-effective orchestration for production-ready agent systems.

✅ By the end of the program, students will be equipped with the expertise needed to design, implement, and manage Agentic AI practices in real-world applications.

Career Opportunities

01. Agentic AI Architect

Designs and manages intelligent agent systems, ensuring they are scalable, reliable, and aligned with business goals.

02. Data Engineer (Agentic AI Focus)

Builds data pipelines and APIs that agents can access to retrieve, process, and act on real-time information.

03. DevOps Engineer (Agentic AI Focus)

Automates deployment and monitoring of agents, orchestrating workflows across cloud and on-premise environments.

04. Agent Developer / Engineer

Develops, fine-tunes, and deploys AI agents using LLMs, frameworks, and real-world automation scenarios.

05. Agentic AI Security Engineer

Ensures agents operate safely with proper access control, governance, and compliance with ethical and regulatory standards.

06. AI/Agent Analyst

Monitors autonomous agent performance, interprets outcomes, and provides data-driven insights for decision-making.

07. Agentic AI Consultant

Advises businesses on integrating agents into workflows, optimizing efficiency, and driving AI adoption strategies.

08. Site Reliability Engineer (Agentic AI Systems)

Maintains uptime and reliability of deployed agents, resolving failures and scaling operations as needed.

09. Agent Platform Engineer / Support Engineer

Supports and maintains platforms such as LangChain, AutoGen, and agent orchestration tools while troubleshooting performance issues.

10. Agentic AI Trainer or Educator

Teaches principles of Agentic AI, guiding learners on building, deploying, and managing intelligent autonomous agents.

Agentic AI Salaries in Hyderabad

✅ Entry-Level Salary
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.
✅ Mid-Level Salary
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.
✅ Senior-Level Salary
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.
✅ Specialized Roles
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.

Skills Developed post-Agentic AI Course

✅ 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.

Agentic AI Training in Hyderabad Certifications

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.

Agentic AI Certifications

➤ LangChain Certified Developer – Credential for building agent workflows and applications.
➤ OpenAI API & Agentic AI Certification – Specialization in prompt engineering, autonomous agents, and LLM integrations.

➤ Microsoft Certified: Azure AI Engineer Associate – Focused on building and deploying intelligent AI systems with Azure.
➤ AWS Certified AI Practitioner (Agentic Systems Track) – For professionals deploying scalable autonomous AI solutions on AWS.
➤ Certified Agentic AI Engineer – by DeepLearning.AI or other leading institutions – Industry-recognized certification for advanced agent systems.

Agentic AI Course in Hyderabad

Testimonials

Rahul Bhatia

This training gave me the right push at the right time. From quality instruction to excellent placement support, Upskill Generative AI provided everything I needed to start my Agentic AI career with confidence.

Rohan Malhotra

Enrolling in the Agentic AI Training at Upskill Generative AI truly transformed my career. The practical sessions and expert-led guidance helped me master agent-based systems and land my dream role within a few months. Highly recommended for anyone serious about Agentic AI!

Ananya Iyer

I found the content at Upskill Generative AI to be both deep and highly relevant. The real-time agent projects and hands-on labs made complex topics easy to understand. The supportive instructors made learning an enjoyable experience.

Arjun Deshpande

I came in with no prior AI experience, but the way Upskill Generative AI structures its Agentic AI course made everything easy to grasp. Just weeks after finishing, I received a job offer from a top tech firm

Karthik Nair

Choosing Upskill Generative AI for Agentic AI training was a turning point for me. The program was in-depth, and the placement team went above and beyond. I’m now working as an AI Engineer thanks to their support!

Meera Joshi

The trainers are fantastic — always approachable and technically sound. The Agentic AI training didn’t just teach me tools; it gave me the confidence I needed to crack interviews and succeed in my role.

Simran Kaur

The course is hands-on and mirrors real-world challenges. Working on live agent workflow scenarios gave me the edge I needed to transition into the AI field confidently. It was the best investment in my career so far.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Dev Patel

I took the Automation track within the Agentic AI course and found the experience top-notch. The trainers were highly supportive and shared valuable insights that prepared me well for the industry. I now work as an Automation Engineer.

Ishita Roy

Upskill Generative AI’s Agentic AI curriculum is extremely well-structured. The added benefit of lifetime access to course materials and recordings makes it a great long-term resource. Perfect for anyone wanting to build a strong foundation in Agentic AI.

Agentic AI Course in Hyderabad

Trainer

👨‍🏫 INSTRUCTOR

Ms. Iqra Fathima
7+ Years of Experience

About the Tutor

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.

Agentic Training in Hyderabad - Benefits

🔹 Enhanced Skill Set

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.

🔹 Efficient Task & Data Management

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.

🔹 Increased Employability

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.

🔹 Cost Efficiency

Agentic 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.

🔹 Scalability

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.

🔹 Robust Security & Governance

Agentic AI practices include secure API management, ethical governance, access control, and compliance—ensuring agents operate safely and transparently in production environments.

🔹 Seamless Integration

Agentic AI easily integrates with CRMs, business apps, cloud platforms, and APIs—allowing organizations to embed autonomous intelligence into their existing workflows without disruption.

🔹 Collaboration and Productivity

Agentic AI enhances collaboration by allowing multiple agents to work together, delegate tasks, and coordinate actions—boosting team efficiency and accelerating project delivery.

🔹 Global Adoption

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.

Agenetic AI Market Trend

01. Multi-Platform Agentic AI Infrastructure

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.

02. AI-Driven Automation

Agentic 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.

03. Rise of Serverless Agent Orchestration

Serverless 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.

04. Exploding Data & Agent Scale

As 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.

05. Security and Governance in Agent Systems

With 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.

06. DevOps + AgentOps Convergence

The 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.

Our Accomplishments

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Agentic AI Frequently Asked Questions

FAQ’S

✅ What is Agentic AI?

Agentic AI focuses on building autonomous AI agents that can perceive, reason, and act to complete tasks with minimal human intervention.

✅ What are the main tools and platforms used in Agentic AI?

Popular tools include LangChain, AutoGen, CrewAI, OpenAI APIs, Azure AI, AWS Bedrock, and GCP Vertex AI.

✅ Is Agentic AI expensive to implement?

It can be cost-effective when designed with scalable cloud-native solutions. Agents optimize workflows and reduce manual effort, saving costs in the long run.

✅ Is Agentic AI secure for enterprise applications?

Yes. Agentic AI follows best practices like secure API access, governance, compliance (GDPR, HIPAA), and transparent audit trails to ensure safe deployment.

✅ What is agent orchestration in Agentic AI?

Agent orchestration is the process of managing how multiple agents collaborate, delegate, and coordinate tasks to achieve complex goals.

✅ Is Agentic AI secure for enterprise applications?

Yes. Agentic AI follows best practices like secure API access, governance, compliance (GDPR, HIPAA), and transparent audit trails to ensure safe deployment.

✅ What is the role of LangChain and AutoGen in Agentic AI?

LangChain simplifies building agent workflows and API integrations, while AutoGen enables multi-agent collaboration and advanced orchestration.

✅ How can I get started with Agentic AI training?

Join Upskill Generative AI’s Agentic AI program with live classes, hands-on labs, real-time projects, and lifetime access.

✅ What programming languages are commonly used in Agentic AI?

Python is primary. Others include JavaScript and frameworks that support LLM integration.

✅ What are the prerequisites for learning Agentic AI?

Basic Python, familiarity with APIs, and a general understanding of AI/LLMs are beneficial but not mandatory.

✅ What is the duration of Agentic AI training at Upskill Generative AI?

The course spans 2 months, including live projects, mentorship, labs, and placement support.

✅ Can I get certified in Agentic AI?

Yes. Certifications include LangChain Certified Developer, OpenAI Certification, Microsoft Azure AI Engineer Associate, AWS AI Practitioner, and others.

✅ Does Upskill Generative AI offer a free demo or trial class?

Yes! You can book a free trial session before enrolling in the Agentic AI course.

✅ How do I choose the right Agentic AI training institute?

Look for live sessions, hands-on labs, project-based learning, and placement assistance. Upskill Generative AI provides all these.

✅ Are Agentic AI training programs available online?

Yes, the Agentic AI program is fully online with live classes, mentor support, and LMS access.

✅ What are Agentic AI workflows and why are they important?

They define how agents plan, act, and collaborate across tasks—improving reliability, automation, and scalability.

✅ Can I integrate Agentic AI with existing enterprise tools?

Yes. Agentic AI integrates seamlessly with CRMs, business apps, APIs, cloud services, and DevOps stacks.

✅ What is the role of APIs in Agentic AI?

APIs allow agents to interact with external systems, retrieve data, and perform actions autonomously.

✅ How do I enroll in Agentic AI at Upskill Generative AI?

- Visit the website, fill out the form, or reach out via WhatsApp. The team will guide you step-by-step.

✅ What practical skills will I gain from this course?

You’ll learn agent workflow design, multi-agent collaboration, API integration, orchestration frameworks, and deployment strategies.

✅ What is the job outlook for Agentic AI professionals?

The job market is growing rapidly with demand for Agent Developers, AI Automation Engineers, Agentic AI Consultants, and Platform Engineers.