Choose the best training program according to your career.
Improve the performance of your business with our innovative Industrial Training Program.
Read More →
Our instructor-led training classes are designed to make you an expert.
Read More →
Real-life case studies are a great way to demonstrate your practical knowledge.
Read More →
Explore blogs, latest technologies and industry updates with practical examples.
Read More →
Browse all available training programs and choose the right one for your career.
Read More →Know more about who we are and what we stand for.
Discover our mission to equip individuals with essential IT skills and industry expertise.
Read More →Learn, practice and plan your career — bilkul free.
Book a free video counselling session and pick the right course for you.
Read More →Learners from Salem can pursue Uncodemy's Artificial Intelligence training through a 5–6 month live online course led by instructors. The program develops knowledge of Python, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, and LLM fundamentals in a progressive format. Uncodemy does not currently run a physical classroom in Salem, so participants from the city can attend the training through live online sessions. Classroom learning is also offered at the Delhi and Noida centres for those who can travel. 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
Through Uncodemy's Artificial Intelligence training, Salem learners can work on key technologies including Python, machine learning, deep learning, NLP, computer vision and generative AI. Learners who complete the program and career preparation may explore suitable roles such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and other related positions. Placement records for Salem learners are updated regularly — check the verified outcomes at uncodemy.com/placement.
Artificial Intelligence brings together algorithms, data, and computing resources to create software capable of learning, recognising patterns, and generating predictions or responses. Its major areas include machine learning, deep learning, natural language processing, and computer vision. Businesses use these technologies for tasks such as personalised recommendations, voice interaction, anomaly and fraud detection, visual analysis, automation, and generative AI-powered applications.
What does an AI engineer do? An AI engineer develops intelligent features and systems by working across data, models, and application code. Their work may involve preparing datasets, training and validating models, creating NLP and computer vision pipelines, connecting generative AI or LLM services with applications, and deploying solutions through APIs. The role brings together software engineering practices with machine learning, statistics, and problem-solving skills.
Although the three Uncodemy programs cover areas of the same broader AI ecosystem, each takes a different approach to skills and specialisation. The comparison below shows where their learning paths differ.
| 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.
For Salem learners, Uncodemy's Artificial Intelligence course offers a 5–6 month live online learning experience with 110+ sessions and over 183 hours of guided instruction. The curriculum contains 13 modules that take learners from the foundations of AI through Python, mathematics, statistics, data preprocessing and core machine learning. It continues with supervised and unsupervised learning, model evaluation, deep learning, neural networks, NLP, computer vision, generative AI and LLM fundamentals, followed by AI application development and deployment. The program also includes a 25-hour industry capstone and practical exercises using relevant tools. Salem participants complete the training through live online classes, with classroom training available at Uncodemy's Delhi and Noida centres for learners who can travel.
Who should join this course:
Eligibility: The program accepts graduates from technical and non-technical fields. Coding experience is helpful but does not have to be completed beforehand, since Python is introduced from Module 2. Learners should have basic comfort with mathematics and statistics, which are developed further in Module 3. A laptop and consistent internet connection are necessary for participating in the hands-on sessions.
Salem learners can join live online classes through weekday or weekend batches scheduled in IST. The available timings are designed to accommodate different routines, including those of students and working professionals. Attend a free demo session first to get a feel for the training, then choose an upcoming batch that fits your schedule and includes practical 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 | |
Once Salem learners have completed the 13-module syllabus, required assignments and the AI Projects & Industry Capstone, they receive the Uncodemy Artificial Intelligence Program Certificate. It records important course information such as the program name, duration, technologies studied and date of completion. The certificate can also be verified online at certificate.uncodemy.com as evidence of successful completion of the Uncodemy Artificial Intelligence program.
The certification is backed by project-based learning completed during the course. Learners practise machine learning, deep learning, NLP and computer vision through hands-on projects, work on data preprocessing tasks and complete a 25-hour AI Projects & Industry Capstone. Training includes 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)
_3.webp)
Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd. With 14+ years of training experience, classroom centres in Delhi and Noida, and live online delivery across India, the institute provides learners in Salem with access to instructor-led programs covering emerging technologies.
The Artificial Intelligence program is structured around practical AI development, from preparing datasets and engineering features to training, evaluating and optimizing models for deployment through APIs. Learners also study machine learning, deep learning, NLP, computer vision and GenAI-integrated applications, followed by a 25-hour industry capstone project.
Alongside the technical curriculum, Uncodemy includes practical assignments, project-based learning, interview preparation and career support. The career support policy explains the available assistance, while the eligibility conditions are published before enrolment rather than after payment.
Salem learners exploring other specialised technology tracks can also choose from LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Salem 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
Uncodemy distinguishes between the faculty responsible for teaching and the reviewers responsible for independently checking course content. Trainers handle the live classes, while domain reviewers assess the syllabus to help keep it technically accurate and relevant. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, providing a separate quality review alongside the teaching team.
The same faculty supporting the Delhi classroom batches also teach through the Noida and online formats. Before choosing the program, prospective learners can request to observe part of a live class to get a better understanding of the teaching approach.
Uncodemy makes trainer and reviewer information available openly, including their professional backgrounds and areas of expertise, allowing learners to look into the faculty associated 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.
Salem learners can build practical Artificial Intelligence skills through Uncodemy's 5–6 month instructor-led program. The curriculum covers Python, machine learning, deep learning, NLP, computer vision and generative AI, with live online teaching, hands-on labs and a 25-hour industry capstone. Structured career and interview preparation is included alongside the technical modules.
| 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 Artificial Intelligence course runs for 5–6 months and contains 183+ hours of learning spread across 110+ live sessions. Learners can select weekday or weekend batches according to their schedule.
No. The curriculum is designed to introduce the required foundations during the program. Python begins in Module 2, while Module 3 covers the basic mathematics and statistics concepts used later in machine learning.
Learners are introduced to 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. Deep Learning & Neural Networks is taught for 15 hours in Module 8. Module 9 covers Natural Language Processing for 12 hours, followed by 12 hours of Computer Vision & Image AI in Module 10.
The program concludes its project component with Module 13: AI Projects & Industry Capstone. The 25-hour capstone is intended to give learners practical experience applying AI concepts to an end-to-end project.
The sessions are live and conducted by instructors, with 110+ live classes included. Once sessions are completed, their recordings can be used for revision and catching up on topics.
The program is priced at ₹24,500 plus 18% GST, resulting in a total fee of ₹28,910. This stated fee is applicable irrespective of the learner's city or available mode.
EMI starts at ₹4,818 per month for 6 months. The actual amount and financing terms may vary according to the applicable payment plan and the learner's eligibility.
Yes. Before enrolment, learners can attend a demo session to understand the course structure, experience the teaching format and see how the instructor-led classes are conducted.
The Dedicated Career & Placement Assistance includes resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through a network of 850+ companies. It is career support and not a guarantee of employment.
Entry-level AI Engineer roles may carry an indicative salary range of ₹4–8 LPA. Actual hiring outcomes depend on the candidate's technical skills, projects, interview results, experience, employer and the conditions of the job market.
Indicative market ranges are 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. Actual compensation may differ based on role, skills, experience, employer and market conditions.
The training covers skills relevant to AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer roles.
The program is available to graduates from technical and non-technical disciplines. It can also be relevant for working professionals planning an AI/ML transition, aspiring AI engineers and career changers interested in artificial intelligence.
No. The information is intended to provide context rather than a guaranteed outcome. It is based on Uncodemy's internal records and publicly available review-platform information, while individual results depend on learner skills, experience, employer, location and market factors.
No. Learners based in Salem can attend the Artificial Intelligence program through live online classes. Classroom training is available at the Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) centres for learners who can travel.
No. It is an independent certificate issued by Uncodemy and is not a certification, endorsement or affiliated credential from OpenAI, Google, Meta or another AI technology provider.
4.7/5 (500+)
5/5 (30+)
4.7/5 (500+)
5/5
4/5 (130+)
5/5 (54+)