Transform your tech career
Make a transition from an IT professional to an expert AI/ML engineer
Join the proven program that helps software engineers, data professionals, and STEM grads land high-paying AI/ML roles at top tech companies without a PhD or guesswork.
Built by MAANG Engineers
Designed for Real Career Transitions
Do you want to...
Stop Feeling Stuck & Start Building a Career That Pays What You’re Worth.
Say goodbye to silent rejections and ignored applications.
Learn what top companies actually test for in AI/ML interviews.
Master interviews with mock loops, feedback, and real coaching.
📅 16th March, 9 AM EDT - 8 AM CDT - 6 AM PDT
Transform your tech career
Make a transition from an IT professional to an expert AI/ML engineer
Join the proven program that helps software engineers, data professionals, and STEM grads land high-paying AI/ML roles at top tech companies without a PhD or guesswork.
Built by MAANG Engineers
Designed for Real Career Transitions
Do you want to...
Stop Feeling Stuck & Start Building a Career That Pays What You’re Worth.
Say goodbye to silent rejections and ignored applications.
Learn what top companies actually test for in AI/ML interviews.
Present your existing work like a high-signal candidate.
Master interviews with mock loops, feedback, and real coaching.
📅 16th March, 9 AM EDT - 8 AM CDT - 6 AM PDT
Proof Backed by Numbers
1000+
Tech Professionals Transitioned
$30K–$120K
Average Salary Hike
$300k+
Highest Package Offered
90%
Cracked 3+ Interview Rounds
1200+
Mock Interviews Done
4.9/5
Average Rating
Our alumni in top companies like
Proof Backed by Numbers
Our alumni in top companies like
Why is AI/ML the career move of this decade?
Artificial Intelligence isn’t just the future anymore… It's now.
From generative AI and LLMs to machine learning systems behind every major product, the demand for applied AI/ML professionals has exploded.
AI/ML Engineers are among the most in-demand tech roles today, and companies aren’t just hiring PhDs. They’re looking for skilled, project-ready professionals who can build and deploy real-world solutions.
👉 Here’s what the market looks like...
Here’s what the market looks like...
$210,000+ median salary for AI/ML engineers
5X growth in AI/ML related job listings in the last 2 years
1000s of open roles in top IT companies and AI-first startups
Hiring Companies
Here’s what most people
get wrong about breaking into AI/ML
I need a PhD or a master’s to break into ML.
ML roles are only for data scientists.
LLMs and generative AI are too advanced to start with.
Programs don’t work, they’re all talk, no outcomes.
I need to build original research to be taken seriously.
I’ve got people skills, I’ll ace the interview anyway.
University certificates will get me the job.
A good resume should be enough to crack Interviews.
If you are one of the above then this session is for you!👇
1000s of Tech Professionals can't be wrong...
Join our FREE webinar
We'll walk you through the actual roadmap to transition into AI/ML.
Even if you don't have prior experience, a fancy degree, or published research.
You’ll learn how real professionals are making the shift to grab that advantage and why it’s more possible than you think.
Join our FREE webinar
We'll walk you through the actual roadmap to transition into AI/ML.
Even if you don't have prior experience, a fancy degree, or published research.
You’ll learn how real professionals are making the shift to grab that advantage and why it’s more possible than you think.
But still, so many software engineers and STEM professionals struggle to make the switch.
Do you know why…?🤔
Because most programs focus on theory and not on helping you transition into real-world AI/ML roles
That’s where the “AI and ML Career Transition Program" makes all the difference
At Techademy, we don’t just teach AI/ML concepts
We help you connect your existing skills to practical AI applications
Build confidence through hands-on projects
Develop the mindset and portfolio needed to transition into AI/ML roles
Offer Ends in...
At Techademy, we don’t just teach AI/ML concepts
We help you connect your existing skills to practical AI applications
Build confidence through hands-on projects
Develop the mindset and portfolio needed to transition into AI/ML roles
Offer Ends in...
Career Opportunity
Transitioning into AI/ML isn’t as hard as you think when you have the right roadmap
You don’t need a PhD, a decade of experience, or IVY League credentials to land a high-paying AI/ML role. What you need is the right structure, hands-on projects, and interview preparation that actually works.
Skills that demand high salaries:
Machine Learning Engineer - $310,000
Data Scientist - $232,000
MLOps Engineer - $212,000+
AI Research Engineer/Applied Scientist - $276,000
These aren’t just numbers, they’re real offers our alumni have landed.
And this is just the beginning.
Generative AI, LLMs, and applied ML are no longer niche skills; they’re becoming foundational across industries.
AI/ML job openings have grown over 5X in the past two years.
Even mid-career professionals are leaping with salary uplifts of $30K to $120K+ after transitioning.
2025-26 Is a Window of Opportunity
Tech teams across industries are racing to adopt AI, but the talent gap is real.
If you start now, you’re not “late.” You’re perfectly positioned to ride the wave.
Don’t let confusion or scattered resources delay your transition.
This is your moment, and we’ll guide you all the way through.
1,000+
professionals Transitioned
Over 1,000 techies just like you switched to AI/ML without starting from scratch.
AI and ML Career Transition Program Curriculum
Part 1 - Fundamentals (36 weeks)
1. Python, SQL & Statistics (8 Weeks)
• Week 1: Python Basics & Programming Logic
• Week 2: Loops & Functions
• Week 3: Python Data Structures Deep Dive
• Week 4: File Handling, Modules & Error Handling
• Week 5: SQL for Data Science – Part 1
• Week 6: SQL: Joins, Subqueries, Window Functions – Part 2
• Week 7: Descriptive Statistics & Probability
• Week 8: Distributions, Hypothesis Testing & Inference
2. Data Processing (3 Weeks)
• Week 9: NumPy & Pandas
• Week 10: EDA & Data Cleaning
• Week 11: Feature Engineering & Data Preprocessing
3. Core ML – Supervised & Unsupervised (4 Weeks)
• Week 12: Intro to ML + Evaluation Metrics
• Week 13: Regression Models
• Week 14: Classification Models
• Week 15: Hyperparameter Tuning & Cross-validation
4. Unsupervised Learning & Recommenders (3 Weeks)
• Week 16: Clustering Techniques
• Week 17: Dimensionality Reduction & Anomaly Detection
• Week 18: Recommender Systems
5. Deep Learning (9 Weeks)
• Week 19: Neural Networks & MLPs
• Week 20: CNNs
• Week 21: Generative Deep Learning Models
• Week 22: Text-to-Image Models & Vision-Language Alignment
• Week 23: Diffusion Architectures, Prompt Engineering & Implementation
• Week 24: NLP Pipeline, Preprocessing & Text Representation
• Week 25: Core NLP Tasks & Traditional Models
• Week 26: Word Embeddings & Neural NLP
• Week 27: LSTM, GRU & NLP Applications
6. LLMs & Generative AI (4 Weeks)
• Week 28: Transformers & LLM Foundations
• Week 29: Prompt Engineering Basics
• Week 30: Prompt Chaining, Tool Augmentation & RAG Foundations
• Week 31: Prompt Integration, RAG System Design & Deployment
7. Agentic AI & Automation (2 Weeks)
• Week 32: Agents & LangChain Workflows
• Week 33: AutoGPT & Task Automation
8. Reinforcement Learning (1 Week)
• Week 34: Reinforcement Learning (Fundamentals & Deep RL)
9. MLOps & Deployment (2 Weeks)
• Week 35: MLOps Fundamentals
• Week 36: Model Deployment
Part 2 - Interview Preparation (17 Weeks)
1. DSA & System Design Interview Preparation Plan (8 Weeks)
• Week 1: Sorting & Algorithm Foundations
• Week 2: Recursion & Backtracking
• Week 3: Trees & Hashing
• Week 4: Graphs & Connectivity
• Week 5: Dynamic Programming (DP)
• Week 6: Online Processing Systems
• Week 7: Batch Processing Systems
• Week 8: Stream Processing & Real-Time Systems
2. AI/ML Interview Preparation Plan (7 Weeks)
• Week 9: Python, Data Handling & SQL Review
• Week 10: Machine Learning Fundamentals & Evaluation
• Week 11: Feature Engineering, Model Tuning & Explainability
• Week 12: Advanced ML – Trees, Ensembles & Imbalanced Data
• Week 13: Deep Learning, Transformers & Generative AI
• Week 14: Agentic AI & LangChain Workflows
• Week 15: ML System Design & AI Architecture
3. Soft Skills & Behavioural Rounds (2 Weeks)
• Week 16: Frame your experiences and achievements
• Week 17: Communication, Stakeholders & Leadership
Tools & Technologies You’ll Master
Core ML/AI Frameworks
Python, TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, Pandas, Matplotlib, OpenCV, NLTK, SpaCy
Generative Model Frameworks
Stable Diffusion, DALL-E, MidJourney, GANs (StyleGAN, BigGAN), Diffusion Models (DDPM, Latent Diffusion Models), DreamBooth, ControlNet
Deployment & System Tools
Flask, FastAPI, GitHub, Git, Docker, Kubernetes, MLflow
Cloud & Infrastructure Tools
AWS SageMaker, AWS Bedrock, Azure OpenAI Service, Google Vertex AI
LLM & Applied AI Tools
ChatGPT, GPT-4, Claude, LLaMA, Hugging Face Transformers, Hugging Face Datasets, LangChain, LlamaIndex, RAG Pipelines, Prompt Engineering Tools, LoRA Fine-tuning, PEFT (Parameter-Efficient Fine-Tuning)
Who is this Program for? 🤔
This program is designed for career-driven professionals ready to make a serious transition into AI/ML, even if they don’t have prior ML experience.
Software engineers & developers
Who want to move beyond traditional coding roles and into high-impact AI/ML positions.
STEM Professionals
With backgrounds in science, tech, engineering, or math, who is ready to pivot into applied machine learning.
Analysts, consultants, & tech leads
Who have hands-on experience with data or systems and now want to level up into AI-powered roles.
Career changers looking for AI-powered growth
Anyone who’s tired of theory-heavy learning and is looking for a structured, real-world roadmap to land an AI/ML job.
Who is this Program for? 🤔
This program is designed for career-driven professionals ready to make a serious transition into AI/ML, even if they don’t have prior ML experience.
Software engineers & developers
Who want to move beyond traditional coding roles and into high-impact AI/ML positions.
STEM professionals
With backgrounds in science, tech, engineering, or math, who is ready to pivot into applied machine learning.
Analysts, consultants, & tech leads
Who have hands-on experience with data or systems and now want to level up into AI-powered roles.
Career changers looking for AI-powered growth
Anyone who’s tired of theory-heavy learning and is looking for a structured, real-world roadmap to land an AI/ML job.
Why choose this AI/ML Career Transition Program?
This isn’t just a course. It’s a career transformation system designed by those who’ve been on both sides of the hiring table.
Here’s what makes it different:
Built by FAANG Engineers & Hiring Managers
Get trained by mentors from Google, Meta, OpenAI, Amazon… not just instructors, but people who hire for real.
Real-World, Resume-Ready Projects
Work on industry-grade ML systems, including 2 capstone projects using LLMs, RAG pipelines, LangChain agents & more.
20+ Mock Interviews with Feedback Loops
Practice real technical + behavioral interviews with experienced mentors. Get scored, get coached, get hired.
Deep-Dive Interview Coaching
We cover system design, ML case studies, project articulation, and behavioural answers, all aligned to what top companies ask.
1:1 Mentorship & Unlimited Doubt Sessions
Ongoing support during and after live sessions to keep your momentum strong and mindset sharp.
Full Career Support Until You Succeed
From resume to LinkedIn to salary negotiation, we help you craft a profile that gets interviews and converts offers.
Structured, No-Guesswork Roadmap
Weekly live sessions + practical tasks + check-ins + assignments + feedback = a clear path to transition in 6–9 months.
Trial Week & Money-Back Guarantee
Test the program before committing. If it doesn’t meet your expectations, get your 100% money back.
This program is for serious career shifters and not casual learners.
If you're ready to leap, we've built the bridge. Let’s walk in!
Why choose this AI/ML Career Transition Program?
This isn’t just a course. It’s a career transformation system designed by those who’ve been on both sides of the hiring table.
Here’s what makes it different:
Built by FAANG Engineers & Hiring Managers
Get trained by mentors from Google, Meta, OpenAI, Amazon… not just instructors, but people who hire for real.
Real-World, Resume-Ready Projects
Work on industry-grade ML systems, including 2 capstone projects using LLMs, RAG pipelines, LangChain agents & more.
20+ Mock Interviews with Feedback Loops
Practice real technical + behavioral interviews with experienced mentors. Get scored, get coached, get hired.
Deep-Dive Interview Coaching
We cover system design, ML case studies, project articulation, and behavioural answers, all aligned to what top companies ask.
1:1 Mentorship & Unlimited Doubt Sessions
Ongoing support during and after live sessions to keep your momentum strong and mindset sharp.
Full Career Support Until You Succeed
From resume to LinkedIn to salary negotiation, we help you craft a profile that gets interviews and converts offers.
Structured, No-Guesswork Roadmap
Weekly live sessions + practical tasks + check-ins + assignments + feedback = a clear path to transition in 6–9 months.
Trial Week & Money-Back Guarantee
Test the program before committing. If it doesn’t meet your expectations, get your 100% money back.
This program is for serious career shifters and not casual learners. If you're ready to leap, we've built the bridge. Let’s walk in!
Meet your Instructors
Rated 4.7/5 by 1000+ Learners
Still Have Questions? Let’s Talk Live…
• Not sure if this is the right fit for you?
• Confused about the transition path, time commitment, or how the program works?
This FREE webinar will walk you through:
What roles can you realistically target
The demand for AI/ML roles from the actual market point
Techademy’s Success Mantra
What does a week inside the program look like
Top project ideas that make recruiters take notice
What interviewers really look for in ML candidates
How do we structure mock interviews and give feedback
What kind of support do you get after classes end
What roles to target post completion of the program
How do we prepare you for interviews
Join our live webinar and get your questions answered, see how the program works behind the scenes, and learn the exact roadmap we use to help professionals land real AI/ML roles.
Built for professionals looking to have a smooth transition into AI & ML
This program is designed to take you from confusion to career transition in a clear, phased roadmap with ongoing support every step of the way.
Total Duration
36 Weeks + 17 weeks of Interview Prep
Support Period
6 Months after live classes end
Format
Live Classes twice a week + Unlimited doubt sessions + Lifetime access to all recordings
Here’s how your journey unfolds:
Phase 1: Foundation & Skill Building
✅ Build a core understanding of machine learning, Python, model training, evaluation techniques, and applied AI concepts.
✅ Hands-on with tools like TensorFlow, Scikit-Learn, NumPy, and real datasets
Phase 2: Projects & Real-World Application
✅ Work on mini-projects and two industry-grade capstone projects.
✅ Built with LLMs, LangChain, RAG pipelines, and deployable solutions.
Phase 3: Career Readiness & Interview Prep
✅ Go through 20+ mock interviews covering technical, system design, and behavioural rounds.
✅ Learn project articulation, resume storytelling, and answer frameworks used in real interviews.
Phase 4: Post-Class Mentorship & Support
✅ Continue to get guidance for 6 more months. Use this time for interview prep, mock practice, resume feedback, and offer negotiation.
What you'll get
Core Learning
36 weeks of hands-on learning + 6 months of post-class support
17 weeks of focused interview preparation
Unlimited doubt-clearing sessions
Weekly live classes + assignments + projects
Career Preparation
Curated interview question bank (FAANG/product companies)
Resume, LinkedIn, GitHub optimization support
ML system design & case-based prep modules
Lifetime access to recordings & LMS
Expert Support
Verifiable certification on completion
Career mentorship, mock feedback & offer support
AI-driven study plan & integrated coding platform
Always-up-to-date curriculum + floater sessions
Ready to accelerate your AI/ML career?
certificate of completion
Professional Proof of Completion
Our certificate serves as concrete evidence of your skills and knowledge. It's a professionally designed credential that demonstrates your expertise in AI/ML to potential employers.
Career Advancement
Add your certificate to LinkedIn, your resume, and GitHub to showcase your achievements. This credential helps you stand out in the competitive job market and can lead to better career opportunities.
Industry Recognition
Our certificates signal to employers that you've completed real hands-on work and substantial capstone projects. It's recognized in the industry as proof of job-readiness and practical skills.
What makes this program different?
You’re not just signing up for a program… you’re joining a career-focused system built to get you results.
20+ mock interviews with real FAANG mentors
Practice with actual hiring managers from top tech companies. Get personalized feedback, scoring, and clear areas to improve.
Interview aligned from Day 1
From system design to project articulation to behavioural coaching, everything is aligned with the hiring process.
Live sessions with assignments and hands-on projects
Weekly tasks, real-time learning, and production-grade builds that showcase your capabilities to recruiters.
Capstone projects that get noticed
Work on high-impact AI and ML projects using LangChain, MLOps, RAG pipelines, and LLMs. These aren’t demos. They’re deployable.
Tech stack that’s hiring-ready
Python, TensorFlow, Keras, Scikit-learn, LangChain, Flask, GitHub, and more.
Flexible and designed for working professionals
Attend live classes, access LMS recordings for life, and get six months of active post-class support.
Complete career toolkit included
Get help with resumes, LinkedIn, GitHub, and portfolio building. Includes salary negotiation coaching and job search checklists.
Support until you succeed
Even after live classes end, you continue getting mentorship, mock interviews, and doubt-clearing until you’re ready.
Ready to start your AI/ML journey?
Learn everything about the program, the career roadmap, and how we help professionals like you break into AI and machine learning roles.
Join our live pre-enrollment webinar to get all the details, meet our mentors, and see if this is the right path for you.
Seats are limited, so save yours now and take the first step toward your AI/ML career transition.
Ready to start your AI/ML journey?
Learn everything about the program, the career roadmap, and how we help professionals like you break into AI and machine learning roles.
Join our live pre-enrollment webinar to get all the details, meet our mentors, and see if this is the right path for you.
Seats are limited, so save yours now and take the first step toward your AI/ML career transition.
your career roadmap
🤔Imagine: What happens when you stop learning passively and start training with a real career-aligned system?
Here’s how your next few months would look like
In 6 months
You're confidently discussing ML models, LLMs, and system design in interviews.
Your resume, LinkedIn, and GitHub now reflect real project work.
You’ve completed capstone projects and know how to present them.
In 1 year
You've aced multiple mock interviews. Now you feel prepared, and interviewers notice it too.
You’ve landed a role in AI or ML, working on real problems at a product-first company.
Your compensation has jumped. So has your confidence.
You’re mentoring juniors, leading conversations, and finally doing work that excites you.
In 3 years
You’re a go-to expert in your org, driving AI initiatives.
You’re building advanced systems, exploring new AI innovations, maybe even leading a team.
You’re recognized, respected, and earning far beyond what you once thought possible..
It starts with one decision!
Join the webinar. See what’s possible when you commit with the right roadmap.
Frequently asked questions
1. What exactly is this AI/ML Career Transition Program?
It’s a mentor-led, project-driven learning system designed to help working professionals land roles in AI and ML. You’ll gain hands-on experience, complete capstone projects, and go through mock interviews aligned with real hiring processes.
2. Do I need prior experience in AI or ML to join?
No. This program is built for professionals with a background in software, STEM, or analytics. If you have a basic understanding of Python or math, you’re good to go.
3. Can I do this while working a full-time job?
Yes. The program is designed for busy professionals, with live classes twice a week, lifetime access to recordings, and flexible scheduling for mock interviews and mentorship.
4. Will I get interview-ready through this program?
Absolutely. We include 20+ mock interviews, system design prep, case-based training, and complete guidance for behavioural rounds and project articulation.
5. What kind of roles can I target after completing the program?
You’ll be ready for roles like Machine Learning Engineer, Data Scientist, MLOps Engineer, Applied AI Specialist, and more, even at top product companies and AI startups.
6. What makes this program different from Coursera, Udacity, or university certifications?
Unlike passive video courses, this program offers live mentorship, real-world project work, career support, and personalized feedback, all focused on getting you hired, not just certified.
7. Is the certificate recognized by employers?
Yes. It’s a verifiable certificate that reflects real, hands-on project work. Many of our alumni have landed roles at top companies using their capstone projects and program experience.
8. What if I join and realize it’s not for me?
We offer a trial week to explore the program before fully committing. If you’re not satisfied, you can exit early or request a full refund, no risk involved.
9. Does this program teach cutting-edge tools and technologies?
Yes. You’ll work with tools like TensorFlow, LangChain, Python, Flask, OpenCV, and frameworks for building LLM and RAG pipelines, all relevant to today’s AI roles.
10. How do I enroll or learn more?
Start by joining our live webinar. You’ll meet the mentors, understand the roadmap, and get all your questions answered before enrolling.
Limited seats left...
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