AI Mastery Course in Telugu From Python to Agentic AI Scratch to Industry-Ready AI Professional

Build your AI skills from Python fundamentals to advanced AI applications with FLM’s AI Mastery Course. Learn AI foundations, LLMs , prompt &  context engineering, API integration, FastAPI, workflow automation, RAG, Agentic AI, Lang Graph, MCP, AI evaluation, and deployment through practical assignments and hands-on projects.

Online AI MASTERY Course in Telugu | FrontlinesEdutech | FLM

100% Live

Training in Telugu

All Classes

Recordings

Free Addon Sessions icon from frontlines edutech website

11 Free

Addon Sessions

Real Time

Projects

What is AI Mastery

AI Mastery is the practical skill of using AI to work smarter, automate tasks, create better solutions, and build intelligent workflows using modern AI tools and techniques.

Agentic AI & Automation

Explore agents, tool calling, state management, LangGraph, MCP, A2A concepts, n8n workflows, and controlled actions with human approval.

Generative AI & LLMs

Understand AI, machine learning, deep learning, large language models, tokens, embeddings, context windows, and model limitations.

RAG & Enterprise AI Applications

Learn how to connect AI models to documents and data sources to create evidence-based answers, knowledge assistants, and practical business applications.

Why Learn the AI Mastery Course ?

We take you from beginner level to building practical, production-ready AI systems using the most in-demand tools and frameworks in today’s AI ecosystem.

Start with the Fundamentals

Begin with Python, Git/GitHub, AI foundations, and LLM concepts.

Learn Practical Development

Work with SQL, REST APIs, FastAPI, Pydantic, and backend development.

Explore Modern AI Applications

Study prompt engineering, multimodal AI, RAG, and knowledge assistants.

Build Agentic Workflows

Learn Lang Graph, tool integration, MCP, and workflow automation.

Understand AI Quality and Safety

Explore testing, hallucination evaluation, prompt injection, privacy, governance, and responsible AI.

Develop a Project Portfolio

Build knowledge assistants and AI agents using LangChain integrations, tool calling, state management, conditional workflows, and human approval.

Tools & Technologies You Will Learn

Go from AI fundamentals to building practical AI applications using modern tools, frameworks, automation platforms, and agentic AI technologies.

Python & APIs

Build Python applications using variables, functions, files, packages, error handling, and API integrations. Work with REST APIs, JSON, Postman, and Swagger UI.

Git & GitHub

Learn version control, repositories, commits, branches, pull requests, dependency management, and secure configuration using Git and GitHub.

LLMs & Prompt Engineering

Explore AI foundations, Large Language Models, prompt and context engineering, structured outputs, hallucinations, AI safety, and prompt evaluation.

RAG & Vector Databases

Learn document processing, embeddings, semantic search, vector databases, retrieval pipelines, and source-grounded answers using FAISS or Chroma.

LangChain & LangGraph

Build AI chains, tool-enabled agents, memory-based workflows, and multi-step agentic systems using LangChain and LangGraph.

n8n & AI Workflow Automation

Create automated workflows using triggers, webhooks, API integrations, AI model calls, approval routing, error handling, and execution logs.

AI Mastery Course Syllabus By FLM

  • Python installation and VS Code
  • Variables, data types and functions
  • Lists, tuples, dictionaries and sets
  • File handling, CSV and JSON
  • Error handling and debugging
  • Classes and objects
  • Virtual environments, pip and dependencies
  • Jupyter Notebook basics
  • API response processing
  • Basic automated tests and AI-assisted debugging
  • Version control fundamentals
  • Git and GitHub
  • Repositories, clone and status
  • Add, commit, push and pull
  • Basic branching and pull requests
  • README and .gitignore
  • Dependency management
  • Environment variables and .env
  • API key protection
  • AI development workflow and AGENTS.md awareness
  • Artificial Intelligence fundamentals
  • Machine learning and deep learning
  • Supervised and unsupervised learning
  • NLP and computer vision
  • Training, validation and inference
  • Transformers and foundation models
  • Tokens, embeddings and context windows
  • Generative, reasoning and multimodal models
  • Hallucinations and model selection
  • Local and hosted models, fine-tuning and LoRA/PEFT awareness
  • Prompt engineering fundamentals
  • Zero-shot and few-shot prompting
  • Prompt templates and constraints
  • Prompt decomposition and refinement
  • Structured output and JSON
  • Context windows and context management
  • Source grounding and memory
  • Agent Skills and SKILL.md awareness
  • Hallucinations, bias and privacy
  • Prompt injection, guardrails and evaluation rubrics
  • Text, image, audio and video AI
  • Document intelligence, OCR and extraction
  • Structured data and validation
  • Enterprise data cleaning and analytics
  • Reporting and decision support
  • AI applications in QA, operations, HR and marketing
  • Workflow discovery and human verification
  • ROI, privacy and responsible AI
  • Knowledge assistants and controlled business agents
  • Relational database fundamentals
  • Tables, records, fields and relationships
  • SQLite and PostgreSQL awareness
  • CREATE, INSERT and SELECT
  • WHERE, ORDER BY and GROUP BY
  • Aggregate functions and joins
  • UPDATE and DELETE
  • NULL handling and parameterized queries
  • Data validation and database permissions
  • Python-to-SQLite integration and text-to-SQL awareness
  • Client-server concepts and REST
  • HTTP, HTTPS and JSON
  • Endpoints and HTTP methods
  • GET, POST, PUT, PATCH and DELETE
  • Headers, request bodies and parameters
  • Status codes and error handling
  • Authentication and authorization basics
  • Bearer tokens and rate limits
  • Postman collections
  • Swagger UI, OpenAPI and YAML basics
  • FastAPI projects and Uvicorn
  • Routing and REST endpoints
  • Path, query and body parameters
  • CRUD operations
  • Pydantic models and validation
  • Error handling and SQLite integration
  • Environment configuration and basic authorization
  • pytest, TestClient and HTTPX
  • Health checks
  • Streaming/SSE and asynchronous concepts
  • Programmatic model calls and SDKs
  • Authentication and structured prompting
  • Pydantic output validation
  • Token usage, latency and cost
  • Model parameters and rate limits
  • Retries, timeouts and streaming
  • Basic tool calling
  • Decision models, scoring and thresholding
  • LLM functionality through FastAPI
  • Automation vs agents
  • Triggers, nodes and branching
  • Webhooks and scheduling
  • HTTP requests and data transformations
  • External API integration
  • AI model calls and FastAPI integration
  • Document and customer processing
  • Approval routing
  • Retry handling, errors and execution logs
  • MCP integration awareness
  • RAG vs fine-tuning and prompting
  • Document ingestion and parsing
  • Chunking and metadata
  • Embeddings and semantic similarity
  • FAISS and Chroma vector search
  • LangChain document loaders and text splitters
  • Retrievers and prompts
  • Grounded answers and citations
  • Top-k tuning and search/reranking awareness
  • Access permissions and RAG evaluation
  • Agents vs workflows
  • Planning and task decomposition
  • Tool and function calling
  • Tool schemas and execution
  • LangGraph nodes, edges and conditional routing
  • State, memory and checkpointing
  • Tool loops and human approval
  • Durable execution awareness
  • Multi-agent delegation and supervisor patterns
  • Tracing and failure recovery
  • MCP hosts, clients and servers
  • Tools, resources and prompts
  • Discovery and schemas
  • JSON-RPC and transport
  • Permissions and compatible versions
  • MCP server and tool implementation
  • A2A vs MCP
  • Agent Cards, messages, tasks and artifacts
  • Agent-to-agent delegation
  • Security and interoperability
  • Golden datasets
  • Deterministic, LLM-as-a-judge and human evaluation
  • Relevance, factuality and faithfulness
  • Retrieval metrics and answer grounding
  • RAG and agent evaluation
  • Regression testing
  • RAGAS, Promptfoo and pytest
  • Quality reports and failure analysis
  • Prompt injection, sensitive data and tool security
  • Privacy, fairness, accountability and AI governance
  • Development, staging and production
  • Application packaging and Uvicorn
  • Environment configuration and secrets
  • Docker images and containers
  • Deployment options and health checks
  • Rollback procedures
  • Logs, latency and token usage
  • Tracing, OpenTelemetry and Langfuse
  • Timeouts, rate limits and retries
  • Incident investigation, runbooks and CI/CD concepts
  • Problem discovery and user research
  • PRD, user stories and acceptance criteria
  • MVP scope and UI/UX flows
  • AI-assisted coding and specification-driven development
  • Project instructions and AGENTS.md awareness
  • Iterative development and frontend-backend integration
  • Security, testing and deployment
  • Demonstrations and documentation
  • Responsible AI and ROI awareness
  • Career tracks, GitHub portfolio and explaining project decisions
  • Final capstone project

Real Projects Where You'll Build on This Course

Enterprise Knowledge Intelligence Hub

Build an internal knowledge assistant using company policies, SOPs, onboarding manuals service-guide PDFs. The assistant answers questions using document evidence and handles unsupported questions safely.

Tools Used:

Python, LangChain, FAISS or Chroma, FastAPI, Pydantic, pytest, RAGAS or Promptfoo, Langfuse, Docker, GitHub, SQLite (optional).

01

Agentic Operations & Resolution Workbench

AI workflow for incident investigation , resolution recommendations using a simulated service-health API, SQLite ticket system, SOP knowledge base & n8n notifications. Require human approval before protected changes.

Tools Used:

Python, LangGraph, LangChain, FastAPI, SQLite, n8n, MCP Python SDK, pytest, Promptfoo or RAGAS, Langfuse, Docker, GitHub.

02

Visual AI Quality Inspector

Train and evaluate an image classifier to distinguish acceptable packaging from visibly damaged packaging. Measure reliability, identify false positives and false negatives, and determine when human review is needed.

Tools Used:

Google Teachable Machine, Label Studio Community (optional), Google Sheets or equivalent scorecard, MLflow (instructor-guided demonstration).

01

Voice of Customer Intelligence Lab

Analyze synthetic customer feedback covering shipping, quality, billing and usability. Categorize sentiment, issues and urgency; compare prompt versions; and generate business insights with human verification.

Tools Used:

KNIME Analytics Platform, KNIME AI Extension (when instructor-configured), Langfuse, Promptfoo (guided evaluation), spreadsheet or dashboard.

02

Application Creation and Update Sets

 Build a custom ServiceNow application, configure forms and layouts, and migrate changes across instances using Update Sets.

🛠 Tools Used: ServiceNow Studio • Forms • Update Sets • Tables

Onboarding Service Catalog

Create an employee onboarding catalog with service requests for laptops, mice, and other organizational resources

🛠 Tools Used: Incident Management • Forms • UI Policies • Business Rules

Incident Management

Configure the Incident Management lifecycle with forms, field conditions, and workflow customization

🛠 Tools Used: Incident Management • Forms • UI Policies • Business Rules

Change Management

Implement the Change Management lifecycle with customized forms and approval workflows.

🛠 Tools Used: Change Management • Forms • Workflows • UI Policies

Problem Management

Build the Problem Management lifecycle with field configurations and process customizations.

🛠 Tools Used: Problem Management • Forms • Business Rules • UI Policies

Transform Map

 Import bulk Excel data into ServiceNow using Transform Maps while preventing duplicate records.

🛠 Tools Used: Import Sets • Transform Maps • Excel • Data Load

Why This AI Mastery Course Is Your Best Bet

👉 Module Wise Quizzes, Assignments, and Practice Questions

👉 100% Placement assistance

👉 Industry professionals with 10+ years of experience

👉 Live Chat support assistance

👉 Access to session recordings

👉 EMI Option also available with specified cards

👉 Get ₹10,000 Worth of Free Career Booster Add-On Sessions

👉 Dedicated Job Updates

👉 100% Live Training in Telugu

👉 Industry Ready Training

👉 Interview Questions & Study Materials

👉 Resume & Linked In Preparation

Beyond Course We Build Careers.

Every program includes industry-focused add-on sessions designed to help students crack jobs, freelance, switch careers, and grow professionally.

Career Acceleration Ecosystem

Everything you need beyond coding to become job-ready.

Resume Building

Session 01

LinkedIn Building

Session 02

Freelancing

Session 03

Career Switch Guidance

Session 04

Job Search Strategy

Session 05

Financial Awareness

Session 06

MAANG Preparation

Session 07

Agile & Scrum Workflow

Session 08

Git & GitHub

Session 09

HR + Salary Negotiation

Session 10

Communication Bootcamp

Session 11

AI Mastery From Python to Agentic AI Course Fee

Actual Price

Rs. 34,999/-

Special Price

Rs. 11,999/-

Saving price

Rs. 23,000/-

Watch the Demo of Our AI Mastery Course in Telugu to Get a Preview of the Topics Covered.

Hear from Our Successful Students

Surya Gadda
Surya GaddaAI Mastery Student
A very good opportunity for anyone willing to improve their skills with practical learning, expert guidance, and a supportive environment.
Sangana Manoj Kumar
Sangana Manoj KumarAI Mastery Student
The teaching skills are excellent, with trainers explaining every concept clearly, making the learning process simple, interactive, and effective.
Mastan Sayyad
Mastan SayyadAI Mastery Student
Overall, it was a wonderful learning experience with well-structured sessions, practical knowledge, and valuable insights that boosted my confidence.
Sumanth
SumanthAI Mastery Student
I loved the course because the sessions were engaging, informative, and well-organized, making every topic easy to understand and apply.
Nuchhu sirisha
Nuchhu sirishaAI Mastery Student
The AI Mastery course is beginner-friendly, with real-world examples and clear explanations that help students and working professionals achieve their career goals.
Shiva Sai
Shiva SaiAI Mastery Student
The FLM AI Mastery course offers a well-structured curriculum, expert trainers, and supportive staff, making it an excellent choice for learning AI.
Rupesh Nagireddy
Rupesh NagireddyAI Mastery Student
Everything is going very well, and the classes are easy to understand. The trainers explain concepts clearly with practical examples and guidance.
Palacharla Sunilkiran
Palacharla SunilkiranAI Mastery Student
The course is well-organized, engaging, and easy to follow. The concepts are explained clearly, making learning enjoyable and highly effective.
Pogula Varsha
Pogula VarshaAI Mastery Student
FLM provides in-demand AI skills along with career guidance, financial planning tips, and excellent faculty support to help learners succeed.
Thumukunta Purushotham Reddy
Thumukunta Purushotham ReddyAI Mastery Student
The AI Mastery course offers practical learning, career support, add-on sessions, and patient mentors who ensure every student understands the concepts.
Bonthu Venkata Naveen
Bonthu Venkata NaveenAI Mastery Student
Worth every penny! The explanations are excellent, and deeper guidance on assignments and projects would make this outstanding. Teja's patience is exceptional.
Telu Upendra
Telu UpendraAI Mastery Student
The trainer explains every topic clearly, and the well-structured course content makes learning simple, engaging, and easy to understand.
RAKESH PRAVEEN POTNURU
RAKESH PRAVEEN POTNURUAI Mastery Student
I enrolled in the AI Mastery course, and the learning experience has been excellent. The concepts are explained clearly and are easy to follow.
Ganapathi Nalam
Ganapathi NalamAI Mastery Student
The courses are scheduled well, and the teaching quality is excellent throughout. Every session is engaging, informative, and professionally delivered.
Sushma
SushmaAI Mastery Student
The AI Mastery course exceeded my expectations with practical learning, expert guidance, and clear explanations that made every concept easy to understand.

Career Paths After Learning AI Mastery Course

AI-related careers offer some of the most aggressive salary growth in the modern economy. Here is what the market is paying:

Job Role

Experience

Average Salary

Fresher Salaries

Prompt Engineer

Fresher

 ₹5.0 – ₹10.0 LPA

AI Automation Specialist

Fresher

 ₹5.0 – ₹12.0 LPA

Generative AI Developer

Fresher

 ₹8.0 – ₹15.0 LPA

AI Workflow Consultant

Fresher

 ₹6.0 – ₹12.0 LPA

Freelance AI Architect

Fresher

 Project-Based

Job Role

Experience

Average Salary

Experienced Salaries

Prompt Engineer

 2–5 Years 

 ₹18.0 – ₹35.0 LPA

AI Automation Specialist

3–6 Years

 ₹20.0 – ₹40.0 LPA

Generative AI Developer

4–8 Years

₹25.0 – ₹60.0 LPA

Salesforce Developer

3–5 Years

 ₹20.0 – ₹35.0 LPA

Freelance AI Architect

5+Years

Project – Based

Top Companies Hiring AI Mastery Professionals

Why Frontlines EduTech is Your AI Gateway (Our Unfair Advantage)

Enterprise RAG Assistant

Master complex topics like Vector Databases and LangGraph in your native language for absolute clarity.

No Advanced Coding Required

The perfect IT gateway for B.Com, B.Sc, BBA, and non-tech freshers. We focus on logic and application.

Aggressive Placement Support

ATS-friendly AI resumes, LinkedIn optimization, mock interviews, and direct job updates.

Freelance & Agency Blueprint

We teach you how to package these skills to land high-paying international clients on platforms like Upwork.

Career Advancement Results

At Frontlines Edutech, we believe in transforming careers through high-quality, industry-relevant education. Our focus is on providing practical skills and knowledge that lead to real-world success. With a proven track record of impactful learning, we ensure our students are well-equipped to excel in their chosen fields and achieve their career goals with confidence.

Happy Students
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Frequently Asked Questions FAQ'S

A: No! This course focuses on Applied Generative AI and Prompt Engineering. You do not need to know complex Machine Learning algorithms or heavy Python coding. We teach you how to use logic, frameworks, and “Low-Code” tools to command AI models to do the heavy lifting for you.

A: Yes. The syllabus specifically states that special care is taken for non-IT students.

A: The syllabus identifies students, freshers and working professionals as suitable learners.

A: Yes! All sessions, practical tool implementations, and doubt-clearing classes are taught in Telugu. We break down complex concepts like RAG systems, Vector Databases, and LangChain in your regional language to ensure absolute conceptual clarity.

A: YouTube shows you basic chat tricks. We train you on Enterprise AI architecture. You will learn to build RAG (Retrieval-Augmented Generation) systems, deploy autonomous AI Agents, and use professional frameworks like LangChain and LangGraph to build secure, production-ready AI applications for real businesses.

A: While standard ChatGPT just answers questions, AI Agents can actually take action. They can browse the web, send emails, trigger workflows, and make logical decisions on their own. Mastering AI Agents puts you at the absolute cutting edge of the industry.

A: This course is completely project-driven. You will build and deploy real-time assets—including Custom AI Chatbots, RAG Document Assistants, and Automated Workflows—to showcase directly to hiring managers on your GitHub and LinkedIn.

A: Because AI is driving massive revenue and efficiency for businesses, AI professionals are paid a premium. Freshers can expect starting salaries between ₹5 LPA and ₹12 LPA. With experience in building complex automation pipelines, salaries rapidly scale to ₹20 LPA to ₹40 LPA+.

A: It is currently the most lucrative freelance skill in the world. Every business wants to implement AI but doesn’t know how. You can easily take on high-paying freelance projects, setting up AI customer support bots or content automation pipelines for international clients.

A: Yes. We provide comprehensive placement support. This includes aggressive portfolio reviews, building an ATS-friendly AI professional resume, conducting live technical mock interviews, and providing direct job updates for top tech companies.

A: Yes. Upon completing the training and deploying your real-time AI projects, you will receive an industry-recognized certificate from Frontlines EduTech to massively boost your LinkedIn profile and resume credibility.

A: No. The course syllabus states that no prior programming or AI knowledge is required.

Get Certified

Yes, you’ll get a Certificate representing your Industry Readiness once you submit your projects and clear the pre placement test.

Approved by AICTE

Certified by ISO 21001:2018

Recognized by Startup India

Registered under MSME

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