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Read More →Uncodemy's Artificial Intelligence course is a 5–6 month live, instructor-led program conducted online for learners in Warangal. The training includes Python, Machine Learning, Deep Learning, NLP, Computer Vision, and essential Generative AI & LLM concepts. Uncodemy does not operate a physical centre in Warangal — sessions are delivered fully live online, while classroom training is available at Uncodemy's Delhi and Noida centres for learners who can travel. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starts from ₹4,818/month for 6 months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Learners who complete Uncodemy's Artificial Intelligence training build practical skills in Python, machine learning, deep learning, NLP, computer vision and generative AI. After training and career preparation, eligible learners may apply for roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and related positions. Placement records for Belagavi learners are updated regularly — view verified outcomes at uncodemy.com/placement.
In Warangal, Artificial Intelligence is rapidly becoming a cornerstone of the region's emerging tech ecosystem, particularly within its growing startup incubators and academic research centers. It refers to the simulation of human intelligence processes by machines, especially computer systems, enabling them to perform tasks like visual perception, speech recognition, and decision-making that traditionally required human cognitive function. For students and professionals in Warangal, understanding AI is key to participating in the digital transformation of sectors like agriculture, healthcare, and local governance.
What does an AI engineer do? An AI engineer in Warangal often wears multiple hats, especially in smaller tech firms or startups. Their daily responsibilities include collecting and cleaning datasets from local industries, developing predictive models for crop yields or patient diagnostics, and integrating basic machine learning APIs into web and mobile applications. The role demands a strong foundation in Python and statistics, alongside the ability to translate unique regional challenges into data-driven solutions that can scale.
These three Uncodemy programs share a common foundation but diverge in specialization. For learners in Warangal, this side-by-side comparison highlights how each path aligns with the region's growing demand for AI skills in agriculture, healthcare, and local governance.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Broad foundation across ML, DL, NLP, CV and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
This Artificial Intelligence course spans 5–6 months as a live online program, comprising 110+ live sessions and 183+ hours of comprehensive learning. It is divided into 13 modules that progress from AI fundamentals through Python, mathematics and statistics, data preprocessing, machine learning basics, supervised and unsupervised learning, model evaluation, deep learning and neural networks, NLP, computer vision, generative AI and LLM fundamentals, AI applications and deployment, culminating in a 25-hour industry capstone. Each module includes hands-on exercises with real-world tools. Warangal learners receive the program entirely through live online delivery, while classroom training is available at Uncodemy's Delhi and Noida centres for those who can commute.
Who should join this course:
Eligibility: Any graduate from a technical or non-technical background is welcome. While programming basics are advantageous, they are not compulsory — Python instruction begins in Module 2. Comfort with basic mathematics and statistics is useful and progressively developed in Module 3. A laptop and dependable internet connection are necessary for the practical components.
Select a batch schedule that aligns with your daily routine. Live online batches are available in IST timings. Reserve a free demo class to experience the training firsthand, or enroll in our upcoming weekend and weekday live batches — crafted for both working professionals and students, offering flexible timings and practical hands-on learning.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat |
| 22Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat |
| 30Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours. The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Artificial Intelligence is the branch of computer science focused on creating systems that can identify patterns within data, draw logical conclusions from those patterns, and generate predictions or decisions without needing explicit programming for every possible situation. Its primary subdomains include machine learning, deep learning, natural language processing, and computer vision. AI-driven systems now power recommendation algorithms, virtual assistants, fraud detection mechanisms, medical image analysis, and the generative AI applications embedded in modern software.
What does an AI engineer do? On any given day, an AI engineer cleans and prepares data features, trains and assesses ML/DL models, constructs NLP or computer vision pipelines, incorporates generative AI and LLM capabilities into applications, and deploys trained models through APIs. This position exists at the crossroads of software development, statistical analysis, and subject-matter expertise — which explains why employers evaluate both programming skills and theoretical understanding during hiring interviews.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-oriented IT training institute run by Uncodemy Edutech Pvt. Ltd. Boasting over 14 years of training expertise, physical centres in Delhi and Noida, and live online sessions reaching students throughout India including Warangal, Uncodemy provides instructor-led courses for cutting-edge technologies.
Throughout this Artificial Intelligence program, participants develop machine learning models, deep learning projects, NLP and computer vision pipelines, GenAI-integrated applications, and a 25-hour industry capstone project. The curriculum spans the complete AI development lifecycle — from data preprocessing and feature engineering to model training, evaluation, optimization and deployment via APIs.
Beyond training, Uncodemy offers instructor-led sessions, hands-on assignments, project-based learning, interview preparation and career assistance. The specifics of what that support covers — and what it does not — are detailed in our career support policy, together with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Warangal and Telangana learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy maintains a clear separation between instruction and independent academic review. Trainers conduct the live sessions, while domain reviewers verify that the syllabus remains accurate and relevant without teaching the batch. For this Data Science program, Mr. Upendra Kumar Tiwari evaluates the technical content, providing a distinct quality check alongside classroom delivery.
The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.
Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Enroll in Uncodemy's Artificial Intelligence course designed for Warangal learners today! Develop practical skills in Python, machine learning, deep learning, NLP, computer vision and generative AI through instructor-led live online training, hands-on labs and a 25-hour industry capstone. Begin your AI career journey with structured training and dedicated career preparation.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, PyTorch, TensorFlow |
| NLP Engineer (Junior) | NLTK, spaCy, Hugging Face |
| Generative AI Engineer | OpenAI APIs, Hugging Face, LangChain |
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI | This program |
| Already know GenAI/LLM basics, want ML/DL fundamentals too | This program |
| Narrow LLM application development only | Consider LLM Engineering course instead |
| Narrow retrieval-system specialisation | Consider RAG Engineering course instead |
This course spans 5–6 months, delivering 183+ hours of study through 110+ live sessions. Both weekday and weekend batch options are offered.
No prior Python or ML experience is required. Python is taught from Module 2 onward, and basic math/statistics comfort is built up in Module 3. A graduate degree in any discipline is sufficient.
15 tools including Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. Module 8 covers Deep Learning & Neural Networks (15 hours), Module 9 covers Natural Language Processing (12 hours), and Module 10 covers Computer Vision & Image AI (12 hours).
The capstone is Module 13: AI Projects & Industry Capstone (25 hours). You build an end-to-end AI project applying ML/DL concepts, deployment and real-world problem solving.
All 110+ sessions are live and instructor-led, with recordings available afterwards for revision.
The program fee is ₹24,500 plus 18% GST. Total fee is ₹28,910. The same fee applies in all modes and cities.
EMI starts from ₹4,818 per month for 6 months. The exact amount, tenure and eligibility depend on the applicable payment or financing option — a counsellor can confirm your plan.
Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.
We provide Dedicated Career & Placement Assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment.
Entry-level AI Engineer roles in the market range around ₹4–8 LPA (indicative). Outcomes vary by skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.
Indicative market ranges: Entry-Level AI Engineer ₹4–8 LPA, Machine Learning Engineer ₹6–12 LPA, AI/ML Engineer ₹8–16 LPA, Deep Learning Engineer ₹8–18 LPA, Generative AI Engineer ₹8–18 LPA, Computer Vision Engineer ₹7–16 LPA, Senior AI Engineer ₹15–28 LPA, AI Solutions Architect ₹20–35 LPA. Actual offers vary by role, skills, experience, employer and market conditions. Uncodemy does not guarantee any specific salary.
AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer.
Graduates of any technical or non-technical discipline, working professionals transitioning into AI/ML roles, aspiring AI engineers, and career changers moving into artificial intelligence roles.
Statistics are based on Uncodemy's internal records and publicly available review-platform information. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package.
No. Warangal learners join this program live online. Uncodemy's classroom training centres are in Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1), for learners who can travel.
No. This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
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