Students and graduates
Build practical AI automation skills through coding, integrations, and project work.
AI AGENTS & INTELLIGENT AUTOMATIONCURRICULUM PREVIEW
AI Agents & Intelligent Automation
Course fee: INR 15,000 + 18% GST (INR 2,700). Total including GST: INR 17,700.
Confirm exclusions, materials, assessments and payment options with admissions.
Build Intelligent AI Agents. Automate Workflows. Transform Businesses.
Discover how to build AI agents that can understand instructions, make decisions, use tools, retrieve information, and automate complex business workflows.
60 hourscourse duration
Contact admissionsupcoming batch
Confirm online / offline availabilitylearning mode
Course duration: 60 hours. Contact admissions for batch dates, daily timings and delivery arrangements.
Program Overview
Build Intelligent AI Agents. Automate Workflows. Transform Businesses.
The AI Agents & Intelligent Automation program at E Careerpluz combines practical AI development, workflow automation, and real-world business applications.
Learn to integrate large language models (LLMs), APIs, databases, automation platforms, and intelligent agent frameworks to develop solutions that improve productivity and reduce repetitive manual work.
What you will learn
- Build AI agents for business and customer support.
- Automate repetitive tasks using intelligent workflows.
- Connect AI models with APIs, databases, and business applications.
- Develop AI chatbots, research assistants, and document-processing systems.
- Create multi-agent workflows for complex tasks.
- Deploy, test, monitor, and improve AI-powered applications.
Who should enroll?
Software developers and working professionals
Explore agent development, business workflows, and deployment-oriented skills.
Entrepreneurs and business owners
Learn to identify business needs and develop practical AI automation solutions.
Curriculum Preview
A modular curriculum that progresses from foundational concepts to production-oriented AI applications.
Module 1: Python & AI Foundations
- Python fundamentals for AI development
- APIs, JSON, HTTP requests, and data handling
- Introduction to generative AI and large language models
- Prompt engineering and structured outputs
Module 2: LLMs & AI Agent Architecture
- How AI agents work
- Model selection and inference
- Tool calling and function calling
- Memory, context management, and task planning
Module 3: Intelligent Workflow Automation
- Trigger-based and event-driven workflows
- n8n and workflow automation
- Webhooks, API integrations, and scheduling
- Automating emails, reports, forms, and notifications
Module 4: RAG & Knowledge-Based Agents
- Retrieval-Augmented Generation (RAG)
- Document processing and embeddings
- Vector databases and semantic search
- AI assistants that answer questions from business documents
Module 5: Agent Frameworks & Multi-Agent Systems
- LangChain and LangGraph fundamentals
- Agent orchestration and state management
- Task delegation and multi-agent collaboration
- Human approval steps and error handling
Module 6: Deployment, Security & Capstone
- Building and deploying AI applications
- Authentication, permissions, and data privacy
- Logging, monitoring, testing, and evaluation
- Cost control, reliability, and production readiness
- End-to-end capstone project
Confirm the final curriculum, training hours, prerequisites, software access and project scope with E Careerpluz.
Tools & Technologies
Learn to work with modern AI models, development frameworks, automation platforms, and integration tools. Tool coverage can be adjusted to the course version and project requirements.
AI Models & LLM Platforms
OpenAI, Anthropic Claude, Google Gemini, and open-source language models.
Build conversational assistants, content generation systems, reasoning workflows, and tool-using AI agents.
Programming & Agent Frameworks
Python, LangChain, LangGraph, and LlamaIndex.
Develop intelligent agents, connect external tools, manage agent state, and build knowledge-based AI applications.
Workflow Automation
n8n, Zapier, Make, and Microsoft Power Automate.
Connect applications, automate repetitive tasks, trigger workflows, and build business process automation systems.
Databases, RAG & Knowledge Systems
PostgreSQL, vector databases, Pinecone, Chroma, and FAISS.
Store information, retrieve relevant knowledge, and build AI assistants that work with documents and business data.
APIs, Deployment & Integration
FastAPI, REST APIs, Git, Docker, Streamlit, and cloud deployment platforms.
Connect AI agents to applications, create usable interfaces, test solutions, and prepare projects for deployment.
Discuss tool access and any separate provider accounts with admissions. Tool availability may depend on the selected course track, software access, and subscription requirements. Images are visual references, not confirmation of official brand assets or provider affiliation. Confirm included tools, paid subscriptions and API usage charges before enrolling.
Projects & Practical Work
Learn by Building Real-World AI Solutions
Every learner works on practical assignments and guided projects designed to solve common business problems.
PROJECT 1
AI Customer Support Agent
Build an AI assistant that answers frequently asked questions, retrieves approved information, and routes complex requests to human support staff.
PROJECT 2
Intelligent Lead Management
Automate lead capture, categorization, follow-up reminders, and CRM updates with human approval for important customer communications.
PROJECT 3
Document Intelligence Agent
Extract information from invoices, forms, and PDFs, validate fields, and organize structured results for business teams.
PROJECT 4
AI Marketing Automation
Generate content ideas, create draft posts, organize publishing schedules, and prepare performance summaries.
PROJECT 5
Business Reporting Agent
Connect data sources, summarize business metrics, identify notable changes, and generate automated reports.
PROJECT 6
Multi-Agent Business Assistant
Develop a coordinated workflow in which specialized agents research, analyze, draft, and validate outputs under defined permissions.
Capstone outcome: Build and present a working AI automation solution, complete with project documentation, testing, a workflow demonstration, and a portfolio-ready case study.
Learning Goals
By the end of the program, learners should be able to:
Understand AI Agents
Explain agent architecture, LLMs, tool use, planning, and memory.
Automate Business Processes
Design workflows that connect applications, APIs, and data sources.
Build Knowledge-Based AI
Use retrieval, embeddings, and document processing for grounded answers.
Develop Responsible AI Solutions
Apply testing, access controls, privacy safeguards, and human oversight.
Create Deployable Projects
Build, evaluate, demonstrate, and document practical AI applications.
Industry Salary Growth & Business Opportunities
Turn AI Skills into Career Opportunities
AI agents and intelligent automation are creating opportunities across software development, operations, customer experience, analytics, and consulting. Indicative annual salary ranges in India are shown below for planning purposes, not as guaranteed placement outcomes.
Career pathways
AI Automation Executive
Explore workflow implementation and automation operations.
Junior AI Engineer
Build practical AI applications with tools, data, and guided development.
AI Automation Developer
Develop integrations, automated workflows, and AI-powered applications.
AI Solutions Engineer
Connect business requirements with AI systems and application integrations.
Senior AI / Agent Systems Specialist
Progress toward complex agent systems with relevant experience and technical depth.
Indicative salary progression in India
Compare these planning ranges with current local opportunities. Pay varies by role, qualifications, experience and employer.
AI Automation Executive
INR 3-6 LPAIndicative annual salary in IndiaJunior AI Engineer
INR 4-8 LPAIndicative annual salary in IndiaAI Automation Developer
INR 6-12 LPAIndicative annual salary in IndiaAI Solutions Engineer
INR 8-18 LPAIndicative annual salary in IndiaSenior AI / Agent Systems Specialist
INR 15-30+ LPAIndicative annual salary in IndiaBusiness opportunities
- Start an AI automation agency | Develop workflow solutions for small and medium-sized businesses.
- Offer AI chatbot development | Build website assistants and internal knowledge bots.
- Automate business operations | Reduce repetitive work in sales, HR, administration, and customer service.
- Provide AI consulting | Identify automation opportunities and develop implementation plans.
- Build AI-powered products | Create subscription-based software, niche assistants, and productivity tools.
- Work as a freelancer | Deliver integrations, agent prototypes, and workflow projects to clients.
Build your future: Learn to identify a problem, estimate the value of automation, build a practical solution, and present it to potential clients.
Placement Assistance
Get Ready for Your Next Career Move
E Careerpluz supports learners in preparing for AI and automation-related opportunities through career guidance and job-readiness activities.
Career support services
Resume & Portfolio Development
Present your technical skills, AI projects, workflow demonstrations, and measurable project outcomes professionally.
Interview Preparation
Practice Python fundamentals, AI concepts, APIs, agent design, troubleshooting, and project-based interview questions.
Job Search & Referral Guidance
Receive guidance on relevant job openings, applications, and employer opportunities where available.
Project Presentation Skills
Learn how to demonstrate your solution, explain technical decisions, and communicate business value.
Our objective: Help learners build the confidence, practical skills, and professional portfolio needed to pursue relevant opportunities.
Example learning journeys
Learn. Practise. Explore new possibilities.
Explore example AI agents and intelligent automation projects and learning journeys.
Example learning journey01
From Graduate to AI Developer
Graduate
The practical assignments helped me understand how AI agents and automated workflows can solve real business problems.
Practice focus: Understanding agents and business workflows.
Example learning journey02
Building Freelancing Skills
Aspiring freelancer
Working on AI automation projects helped me learn how to plan solutions, connect tools, and demonstrate my work to potential clients.
Practice focus: Planning solutions, integrations, and project demonstrations.
Example learning journey03
Exploring AI Entrepreneurship
Entrepreneur
The project-based approach helped me identify repetitive tasks that could be improved through intelligent automation.
Practice focus: Identifying business tasks suitable for automation.
Data-Driven Learning, Delivered with Quality
Practical Training. Measurable Progress. Continuous Improvement.
Our learning approach focuses on building demonstrable skills instead of relying only on theoretical knowledge.
Our learning approach
Hands-On Training
Practice coding, integrations, agent design, and automation workflows.
Progress Tracking
Review assignments, practical assessments, and project milestones.
Industry-Relevant Learning
Explore current tools and practical business use cases.
Guided Mentorship
Receive feedback and support while developing your projects.
We emphasize responsible AI development, secure data handling, model evaluation, cost awareness, and reliable automation design.
Meet Your Mentors
Learn from Industry Experts and Experienced Professionals.
Mr. P. PRAKASH RAJ
Software Developer
Mrs. S. SIVANISHA
IT Trainer
Mr. S. MOHAMED RIYAS KHAN
UI & UX Designer
Mr. S. SABARINATHAN
AI AnalystFrequently Asked Questions
What is AI Agents & Intelligent Automation?
It is a practical training program that teaches learners to develop AI agents, integrate language models with tools and data, and automate business workflows.
Do I need prior AI knowledge?
The curriculum begins with AI and LLM foundations before progressing to agent architecture and integrations. Confirm the prerequisites and suitability of the current batch with admissions; prior familiarity can help with advanced topics.
Do I need Python programming knowledge?
Python fundamentals are included in the curriculum. As later modules involve coding, APIs, frameworks, and deployment, ask admissions whether beginner support or prior programming knowledge is required for your chosen track.
Who can join this course?
Students, graduates, software developers, working professionals, entrepreneurs, and business owners who want to build practical AI automation skills can enquire. Confirm the current entry requirements with E Careerpluz.
What is the course duration?
The course duration is 60 hours. Contact admissions for batch dates and the detailed timetable.
Will I work on real-world projects?
Practice work includes customer support, lead management, document intelligence, marketing, reporting, and multi-agent projects with an end-to-end capstone. Confirm whether the batch uses sample scenarios, supervised live systems, or both. Live systems require permission and appropriate data safeguards.
Which tools and technologies will I learn?
The tools include LLM platforms, Python, LangChain, LangGraph, LlamaIndex, n8n, Zapier, Make, Power Automate, PostgreSQL, vector databases, FastAPI, Git, Docker, Streamlit, and deployment platforms. Actual coverage depends on the track, project scope, and software access.
Will I receive a certificate?
Confirm the certificate issuer, attendance and assessment requirements, and completion terms with E Careerpluz before enrolling. No external accreditation, employer recognition, or awarding-body partnership is implied.
Is placement assistance available?
Career preparation includes resume and portfolio development, interview practice, job-search guidance where available, and project presentation.
Can I start an AI automation business after this course?
The skills can support automation agencies, chatbot services, consulting, AI products, and freelance integrations. Business success depends on experience, client requirements, implementation quality, costs, and applicable regulations.
Can I learn this course online or offline?
Ask E Careerpluz which online or offline delivery formats are available for the current batch, including practical support, session timings, equipment requirements, and access to learning resources.
How do I enroll?
Use the course enquiry form or contact E Careerpluz to discuss your background and goals. Confirm eligibility, fees, duration, delivery format, software costs, certification terms, and admission steps before making a payment.
What is the course fee, including GST?
Course fee: INR 15,000 + 18% GST (INR 2,700). Total including GST: INR 17,700. Confirm exclusions, materials, assessments and payment options with admissions.
Build your next chapter in AI agents and intelligent automation.
Confirm course duration, fees, upcoming batch, learning mode, and final curriculum with our team.
Request course detailsMore in Artificial Intelligence
AI Automation for Business
Build smarter businesses with AI-powered workflows, intelligent chatbots, automated marketing, and business process automation.
Generative AI Tools
Prompt Engineering · AI Writing & Research · Images & Presentations · Productivity Workflows
Machine Learning with Python
Learn how to build intelligent systems that identify patterns, make predictions, automate decisions, and solve real-world problems using Python and machine learning algorithms.
