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Read More →Uncodemy's AI training is available to Tiruchirappalli learners through live online instruction spread across 5–6 months. The curriculum is organised to cover the core building blocks of Artificial Intelligence, including Python, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI & LLM fundamentals. As there is no Uncodemy centre in Tiruchirappalli, learners from the city can participate remotely in the complete program. For classroom-based learning, Uncodemy has centres in Delhi and Noida. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starting 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 from Tiruchirappalli who complete Uncodemy's AI training can strengthen their understanding of Python, machine learning, deep learning, natural language processing, computer vision and generative AI. With additional career preparation, eligible learners may apply for relevant opportunities including AI Engineer, Machine Learning Engineer, Deep Learning Engineer and related positions. Placement updates for Tiruchirappalli learners can be found at uncodemy.com/placement.
Artificial Intelligence is a broad technology field concerned with creating systems that can analyse information, identify relationships within data, learn from examples, and produce predictions or generated responses. Machine learning, deep learning, NLP, and computer vision are key areas within the field. Their applications range from automated recommendations and speech technologies to security systems, image-based analysis, and generative AI tools.
What does an AI engineer do? An AI engineer helps develop, test, integrate, and maintain intelligent systems. Typical tasks may include working with datasets, preparing features, training ML/DL models, measuring their results, building NLP or computer vision components, adding LLM functionality to applications, and deploying models using APIs. The position therefore requires a combination of programming skills, analytical thinking, and knowledge of AI techniques.
These Uncodemy courses are connected through common AI technologies, but they are not identical in terms of specialisation, learning depth or application focus. The following comparison explains the distinction.
| 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.
Uncodemy's Artificial Intelligence training provides Tiruchirappalli learners with a 5–6 month instructor-led learning path consisting of 110+ live sessions and 183+ hours of instruction. The 13-module curriculum covers the complete progression from AI fundamentals and Python to mathematics, statistics, data preprocessing, machine learning, supervised and unsupervised algorithms, and model evaluation. It then advances into deep learning, neural networks, NLP, computer vision, generative AI, LLM fundamentals, AI applications and deployment. Learners also complete a 25-hour industry capstone, with practical exercises incorporated throughout the course. The program is conducted live online for Tiruchirappalli participants, while classroom sessions are available at the Delhi and Noida centres.
Who should join this course:
Eligibility: Graduates from both technical and non-technical disciplines are eligible. Earlier programming experience is welcome but not compulsory because Python is introduced in Module 2. Basic comfort with mathematics and statistics is recommended, with relevant concepts introduced and strengthened in Module 3. Learners must have a laptop and reliable internet connectivity for practical classes.
Choose an upcoming online batch according to your availability and preferred study routine. Live sessions are scheduled in IST, with options across weekdays and weekends for Tiruchirappalli learners. Students and professionals can attend a free demo class to understand the training format before selecting a suitable batch for their learning journey.
| 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 | |
For learners completing the AI program from Tiruchirappalli, the Uncodemy Artificial Intelligence Program Certificate is issued after all 13 modules, assignments and the AI Projects & Industry Capstone have been completed. The certificate contains the program details, training period, technologies covered and completion date. Its authenticity can be verified online through certificate.uncodemy.com, giving learners a record of completing the Artificial Intelligence program.
Alongside the course completion record, the certificate represents practical work carried out during the training. Learners complete exercises involving data preprocessing and projects in ML, DL, NLP and computer vision, followed by the 25-hour AI Projects & Industry Capstone. Tools covered include Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
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 Edutech Pvt. Ltd. runs Uncodemy as a career-focused IT training institute with 14+ years of experience in technology education. Along with classroom centres in Delhi and Noida, the institute offers live online training to learners throughout India, making the programs accessible to learners in Tiruchirappalli as well.
The Artificial Intelligence program combines core concepts with hands-on development. Its curriculum takes learners through machine learning, deep learning, NLP, computer vision and GenAI while also covering data preprocessing, feature engineering, model training, evaluation, optimization and API deployment. Learners additionally complete a 25-hour industry capstone project.
The program includes instructor-led learning, practical assignments, project work, interview preparation and career support. Information about the scope of career assistance is available in the career support policy, and the eligibility conditions are shared before enrolment rather than after payment.
For those looking at specialised AI areas, Uncodemy also provides LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Tiruchirappalli and Tamil Nadu 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
The teaching team and the academic review process have different responsibilities at Uncodemy. Trainers conduct the live instruction, while domain reviewers independently check the syllabus for accuracy and relevance without taking responsibility for teaching the batch. Mr. Upendra Kumar Tiwari is the technical reviewer for this Data Science program, providing an independent check in addition to classroom delivery.
The instructors handling the Delhi classroom sessions also support the Noida and online learning formats. Learners who want to understand the classroom experience beforehand may request to observe a portion of a live session.
Information about the people connected with the program is shared by Uncodemy, including trainer and reviewer names, professional backgrounds and areas of expertise, so prospective learners can review these details before enrolment.
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.
Start your AI learning journey with Uncodemy's Artificial Intelligence course for Tiruchirappalli learners. The program develops skills progressively across Python, machine learning, deep learning, NLP, computer vision and generative AI through live instructor-led sessions, practical labs and a 25-hour industry capstone. The structured curriculum also includes career-focused preparation for learners working toward AI and ML roles.
| 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 |
The program is structured across 5–6 months, covering 183+ learning hours through 110+ live sessions. Weekday and weekend batches allow learners to select a schedule that works with their studies or professional commitments.
No previous Python or ML background is required to start. Python fundamentals are introduced in Module 2, while Module 3 builds the mathematics and statistics understanding needed for subsequent machine learning topics.
The course works with 15 tools and technologies: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. The relevant modules include 15 hours of Deep Learning & Neural Networks, 12 hours of Natural Language Processing and 12 hours of Computer Vision & Image AI in Modules 8, 9 and 10 respectively.
Module 13 is the AI Projects & Industry Capstone and accounts for 25 hours. Learners use the concepts developed during the course to work on a practical end-to-end AI project involving problem solving and deployment-related work.
Classes are live and instructor-led, with 110+ sessions included in the program. Recordings are made available afterwards, giving learners another way to revise lessons and revisit explanations.
The course fee is ₹24,500 plus 18% GST, so the total comes to ₹28,910. The stated fee does not change based on the learner's city or the available learning mode.
EMI starts from ₹4,818 monthly for 6 months. The exact repayment plan is subject to the applicable financing or payment arrangement, including its eligibility and tenure conditions.
Yes. Learners can request a demo before enrolling to get a clearer idea of the live teaching experience, trainer interaction and course structure before making a decision.
Career support includes resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through the network of 850+ companies. This Dedicated Career & Placement Assistance is not an employment guarantee.
₹4–8 LPA is an indicative range for entry-level AI Engineer roles. A course alone does not determine hiring outcomes; employers may assess coding, AI fundamentals, projects, communication and other role-specific requirements.
Indicative ranges include 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 and AI Solutions Architect ₹20–35 LPA. These are indicative figures and actual offers can vary by employer, skills, experience and market conditions.
The training is relevant to AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer career paths.
Any technical or non-technical graduate can consider the course. It is also suitable for professionals transitioning into AI/ML, aspiring AI engineers and career changers who want to move toward artificial intelligence roles.
No. The figures are provided as reference information from Uncodemy's internal records and publicly available review-platform sources. Individual salary and placement results may differ according to learner profile, skills, employer, location and market conditions.
No. Tiruchirappalli learners attend through the live online format. Learners who can travel can opt for classroom training at the Delhi (Laxmi Nagar/Shakarpur) or Noida (Sector 1) centres.
No. It is an independent certificate issued by Uncodemy. The certificate should not be interpreted as an OpenAI, Google, Meta or other vendor-issued qualification simply because their tools or technologies may be included in the training.
4.7/5 (500+)
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